<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article">
  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-26-13505-2026</article-id><title-group><article-title>Assessment of aerosol iron (Fe) solubility using global dataset – Part 1: Mechanisms underlying the inverse relationship between Fe solubility and Fe concentration</article-title><alt-title>Assessment of aerosol iron (Fe) solubility using global dataset – Part 1</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Sakata</surname><given-names>Kohei</given-names></name>
          <email>kohei.sakata.33@mail.dendai.ac.jp</email>
        <ext-link>https://orcid.org/0000-0002-0103-9631</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Kurisu</surname><given-names>Minako</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-3251-4757</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Takahashi</surname><given-names>Yoshio</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Materials Science and Engineering, Graduate School of Engineering, Tokyo Denki University, 5 Senjyu-Asahi-Cho, Adachi-ku, Tokyo 120-8551, Japan</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Atmosphere and Ocean Research Institute, The University of Tokyo, 5-1-5,  Kashiwanoha, Kashiwa, Chiba 277-8564, Japan</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Graduate School of Science, The University of Tokyo, 7-3-1, Hongo Bunkyo-ku, Tokyo 113-0033, Japan</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Kohei Sakata (kohei.sakata.33@mail.dendai.ac.jp)</corresp></author-notes><pub-date><day>25</day><month>September</month><year>2026</year></pub-date>
      
      <volume>26</volume>
      <issue>18</issue>
      <fpage>13505</fpage><lpage>13529</lpage>
      <history>
        <date date-type="received"><day>23</day><month>March</month><year>2026</year></date>
           <date date-type="rev-request"><day>8</day><month>April</month><year>2026</year></date>
           <date date-type="rev-recd"><day>10</day><month>September</month><year>2026</year></date>
           <date date-type="accepted"><day>11</day><month>September</month><year>2026</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2026 Kohei Sakata et al.</copyright-statement>
        <copyright-year>2026</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026.html">This article is available from https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e116">Atmospheric deposition of aerosol iron (Fe) can stimulate marine primary productivity by supplying dissolved Fe (d-Fe) to the surface ocean, thereby potentially influencing the global climate. Aerosol Fe solubility (Fe<sub>sol</sub>%) is closely linked to its bioavailability, and previous studies have shown that Fe<sub>sol</sub>% generally increases as aerosol Fe concentration decreases. However, the mechanism underlying this widely observed inverse relationship remains unresolved. In this study, aerosol observations from East Asia, the North and South Pacific, and the Atlantic were compiled, and the enrichment factor of total Fe (EF<sub>T-Fe</sub> = (T-Fe <inline-formula><mml:math id="M4" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al)<inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mtext>aerosol</mml:mtext></mml:msub><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> (T-Fe <inline-formula><mml:math id="M6" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al)<sub>crust</sub>) and dissolved Fe to dissolved Al ([d-Fe] <inline-formula><mml:math id="M8" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al]) were used to estimate the contributions of mineral-derived and anthropogenic Fe to aerosol d-Fe, as well as the Fe<sub>sol</sub>% of each source fraction. Aerosol d-Fe was found to be derived predominantly from mineral dust in many oceanic regions. In addition, both mineral-derived Fe and anthropogenic Fe showed inverse relationships between concentration and solubility. If the inverse relationship between Fe concentration and Fe<sub>sol</sub>% were controlled mainly by simple two-component mixing between low-solubility mineral particles and highly soluble anthropogenic Fe, the Fe<sub>sol</sub>% of each source fraction would not be expected to vary systematically with concentration. Instead, the results suggest that atmospheric chemical processing, together with depositional removal during transport, progressively increases the solubility of Fe remaining in aerosol particles. The ability to estimate the sources and dissolution processes of aerosol Fe from such fundamental concentration data may help improve the parameterization of aerosol Fe dissolution in global climate models.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>Kanazawa University</funding-source>
<award-id>19002</award-id>
</award-group>
<award-group id="gs2">
<funding-source>Japan Society for the Promotion of Science</funding-source>
<award-id>21K17886</award-id>
<award-id>24K20927</award-id>
<award-id>26H00438</award-id>
<award-id>26K21720</award-id>
</award-group>
</funding-group>
</article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d2e225">Aerosol particles play a central role in the biogeochemical cycling of the Earth's surface environment. One key process is the fertilization of the oceans by aerosol-derived iron (Fe) (Jickells et al., 2005; Mahowald et al., 2009; Kanakidou et al., 2018). In high-nutrient, low-chlorophyll (HNLC) regions, primary production is limited by the scarcity of dissolved iron (d-Fe) in surface waters (Martin and Fitzwater, 1988; Martin, 1990; Martin et al., 1994; Boyd et al., 2007). The addition of d-Fe to these regions stimulates the biological pump, thereby influencing the cycling of carbon, nitrogen, sulfur, and Fe (Charlson et al., 1987; Krishnamurthy et al., 2009; Jin et al., 2008). Aerosols are recognized as a major source of d-Fe to the surface ocean, and numerous studies have examined this contribution (Baker et al., 2006a, 2006b, 2013, 2020; Buck et al., 2006, 2010a, b, 2013; Chance et al., 2015; Shelley et al., 2018; Marsay et al., 2022; Sakata et al., 2022; Kurisu et al., 2021, 2024). These studies indicate that the fractional Fe solubility (Fe<sub>sol</sub>%) in aerosols is primarily governed by (i) differences in Fe<sub>sol</sub>% among emission sources (e.g., mineral dust, volcanic ash, anthropogenic aerosols) and their relative abundances, and (ii) chemical alterations, including proton-promoted, ligand-promoted, and photoreductive Fe dissolutions. However, the relative importance of these factors of Fe<sub>sol</sub>% remains poorly constrained (Mahowald et al., 2009, 2018; Olgun et al., 2011; Sholkovitz et al., 2012; Ito et al., 2019; Baker et al., 2021).</p>
      <p id="d2e255">Although several recent studies have examined the seasonal variability of Fe<sub>sol</sub>% (Takahashi et al., 2013; Sakata et al., 2023, 2025; Zhang et al., 2023; Chen et al., 2026), such observations remain scarce globally, contributing to uncertainty in identifying the factors controlling Fe solubility. The supply of aerosol Fe from East Asia to the North Pacific is modulated by seasonal variations in both natural and anthropogenic sources. Mineral dust loading typically peaks in March–May (Uematsu et al., 1983; Zhu et al., 2020; Kawai et al., 2021), whereas concentrations of several anthropogenic pollutants increase in December–February due to higher residential fuel combustion (Ma et al., 2017; Zhang et al., 2018; Kurokawa and Ohara, 2020). Previous work suggests that anthropogenic Fe (anthro-Fe) generally exhibits higher Fe<sub>sol</sub>% than mineral dust, implying that seasonal changes in their relative contributions influence Fe<sub>sol</sub>% overall. Aerosol pH, which controls Fe dissolution rates, particularly for proton-promoted processes, also varies seasonally in response to temperature and humidity changes (Guo et al., 2016; Tao and Murphy, 2019a; Song and Osada, 2020; Pye et al., 2020; Zheng et al., 2020). Consequently, Fe<sub>sol</sub>% is also expected to exhibit seasonal variability. Given that most Fe in marine aerosols originates from continental regions, long-term observations in both marine and continental atmospheres are essential for identifying the controlling factors of Fe<sub>sol</sub>%. However, studies covering longer than one year are scarce, even at land-based sites, and conducting such long-term observations during research cruises is particularly challenging. Moreover, only limited attempts have been made to compile existing measurement data to systematically evaluate the seasonal variability of Fe<sub>sol</sub>% and the mechanisms governing it in marine aerosols.</p>
      <p id="d2e313">To understand the seasonal variability of Fe<sub>sol</sub>% in aerosols collected from both terrestrial and marine atmospheres, as well as to elucidate the controlling factors, it is essential to compile existing data and discuss them in detail. This study compiled a global dataset from previous observational work and associated measurements of total and dissolved Fe and Al concentrations and their solubilities. The dataset encompasses East Asia (Duvall et al., 2008; Li et al., 2015; Kurisu et al., 2019; Hsieh et al., 2023; Sakata et al., 2023, 2025; Seo and Kim, 2023), the North Pacific (Buck et al., 2006, 2013; Marsay et al., 2022; Sakata et al., 2022; Kurisu et al., 2024), the South Pacific (Buck et al., 2013, 2019; Sakata et al., 2022; Perron et al., 2020a, 2021), and the Atlantic Ocean (Baker et al., 2006a, b, 2013, 2020; Buck et al., 2010a, b; Chance et al., 2015). We included Al data because a plot of the enrichment factor of total Fe (EF<inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mtext>T-Fe</mml:mtext></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> (T-Fe <inline-formula><mml:math id="M23" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al)<inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mtext>aerosol</mml:mtext></mml:msub><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> (T-Fe <inline-formula><mml:math id="M25" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al)<sub>crust</sub>) plotted against the molar concentration ratio of d-Fe to dissolved Al ([d-Fe] <inline-formula><mml:math id="M27" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al]) is a useful tool for identifying emission sources of T-Fe and d-Fe (Sakata et al., 2023). We first calculated monthly means of T-Fe and T-Al concentrations and solubilities to characterize seasonal variabilities. We then estimated the contribution of anthropogenic-derived d-Fe to total aerosol d-Fe, and separately evaluated the Fe<sub>sol</sub>% of mineral dust and anthropogenic aerosols to assess the seasonal variability of their atmospheric alteration processes. Finally, we reanalyzed the compiled data using standardized metrics, including EF<sub>T-Fe</sub> and [d-Fe] <inline-formula><mml:math id="M30" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al], to investigate the factors controlling Fe<sub>sol</sub>%. This reanalysis aimed both to clarify spatiotemporal patterns linked to these controlling factors and to identify key gaps that should be addressed in future observational studies.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methods</title>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Data compilation of total and dissolved Fe and Al concentrations</title>
      <p id="d2e430">This study primarily utilized data reported in previous observations, supplemented by our unpublished data from size-resolved aerosol samples collected in the Pacific Ocean. Detailed descriptions of the sampling and analytical procedures for these unpublished data are provided in Sect. S1 of the Supplement. For data compilation, only samples for which concentrations of T-Fe, T-Al, d-Fe, and d-Al were concurrently available were included. In certain studies, d-Fe and d-Al concentrations were derived based on their corresponding Fe<sub>sol</sub>% or Al<sub>sol</sub>%. All compiled data were acquired through filter-based collection methods. Aerosol particles were sampled using cellulose, quartz fiber, or PTFE fiber filters (Buck and Paytan, 2012; Morton et al., 2013; Sakata et al., 2018). While the majority of previous studies collected total suspended particulates (TSP), size-fractionated aerosol samples were occasionally utilized. In this study, coarse and fine aerosol particles are defined as those with aerodynamic diameters greater than or less than 2.5 <inline-formula><mml:math id="M34" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, respectively. Samples were predominantly preserved by freezing at <inline-formula><mml:math id="M35" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>20 °C or by storage in a desiccator at ambient temperature under dry conditions (approximately 20 % relative humidity).</p>
      <p id="d2e468">Given the variability in acid digestion and extraction protocols for Fe and Al across studies, specific criteria were established for data compilation. A critical consideration was whether hydrofluoric acid (HF) was incorporated in the digestion process. It is known that the incomplete digestion of Si-O bonds present in aluminosilicates, due to the omission of HF, leads to an underestimation of the T-Fe and T-Al concentrations that are substituted or trapped within the minerals (Chao and Sanzolne, 1992; Mitra and Rimstidt, 2009). Therefore, in this study, we only compiled concentrations obtained from aerosol samples digested with acids that included both HNO<sub>3</sub> and HF, following the methodology of Morton et al. (2013). These elemental concentrations were primarily determined by inductively coupled plasma mass spectrometry (ICP-MS) or inductively coupled plasma optical emission spectroscopy (ICP-OES), with occasional utilization of X-ray fluorescence analysis (XRF) in the absence of total acid digestion.</p>
      <p id="d2e480">Extraction solutions (e.g., ultrapure water, weak or strong ligand solutions), extraction methodologies (batch versus flow-through), and extraction durations varied among the referenced studies (Sholkovitz et al., 2012; Baker and Croot, 2010; Clough et al., 2019; Perron et al., 2020b). In this study, Fe extracted by ultrapure water and ammonium acetate buffer were uniformly classified as d-Fe, with the same approach applied for Al. Most aerosol samples from East Asia and the Pacific were extracted using ultrapure water, whereas a subset of Atlantic samples underwent extraction using ammonium acetate buffer at pH 4.7.</p>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Enrichment factor of Fe</title>
      <p id="d2e490">To evaluate the sources of T-Fe in aerosol particles (i.e., mineral Fe or anthro-Fe), the enrichment factor of Fe (EF<sub>T-Fe</sub>) in aerosol particles is calculated by the following equation:

            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M38" display="block"><mml:mrow><mml:msub><mml:mtext>EF</mml:mtext><mml:mtext>T-Fe</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mfenced open="(" close=")"><mml:mrow><mml:mtext>T-Fe</mml:mtext><mml:mo>/</mml:mo><mml:mtext>T-Al</mml:mtext></mml:mrow></mml:mfenced><mml:mtext>aerosol</mml:mtext></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mfenced open="(" close=")"><mml:mrow><mml:mtext>T-Fe</mml:mtext><mml:mo>/</mml:mo><mml:mtext>T-Al</mml:mtext></mml:mrow></mml:mfenced><mml:mtext>upper continental crust</mml:mtext></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></disp-formula>

          where (T-Fe <inline-formula><mml:math id="M39" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al)<sub>aerosol or upper continental crust</sub> are mass ratio of T-Fe relative to T-Al ratio in aerosol particles and the average upper continental crust (UCC), respectively. Considering that T-Fe <inline-formula><mml:math id="M41" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratio of the UCC varies among literatures, the EF<sub>T-Fe</sub> for all aerosol particles were recalculated. In this study, a mean T-Fe <inline-formula><mml:math id="M43" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratio of 0.52 <inline-formula><mml:math id="M44" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.12, derived from five reported values for the upper continental crust, was used as the reference value to account for variability in crustal T-Fe <inline-formula><mml:math id="M45" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratios (Turekian and Wedepohl, 1961; Taylor, 1964; Taylor and McLennan, 1995; Wedepohl, 1995; Rudnick and Gao, 2003). EF<sub>T-Fe</sub> values exceeding 10 are commonly used to indicate a substantial contribution from anthro-Fe. This threshold corresponds to a measured T-Fe <inline-formula><mml:math id="M47" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratio in aerosol particles exceeding 5.2. In this study, a lower EF<sub>T-Fe</sub> threshold of 2.0 was adopted to include samples with possible anthro-Fe contributions; this threshold corresponds to a measured T-Fe <inline-formula><mml:math id="M49" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratio exceeding 1.04. This decision was made because even after accounting for the T-Fe <inline-formula><mml:math id="M50" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratio and twice its standard deviation in source samples of Asian dust, Saharan dust, and other mineral dust, a statistically significant difference remained compared to twice the T-Fe <inline-formula><mml:math id="M51" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratio of upper continental crust (Liu et al., 2022).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Principle for a diagram between the EF<sub>T-Fe</sub> and [d-Fe] <inline-formula><mml:math id="M53" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio</title>
      <p id="d2e668">The [d-Fe] <inline-formula><mml:math id="M54" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio and EF<sub>T-Fe</sub> in aerosol particles vary depending on emission sources and the dissolution processes of aerosol Fe (Sakata et al., 2023). The dominant sources of T-Fe and d-Fe in aerosol particles can be categorized into five groups (Fig. 1). EF<sub>T-Fe</sub> (vertical axis) is elevated by the influence of T-Fe-rich anthropogenic aerosols, whereas [d-Fe] <inline-formula><mml:math id="M57" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] (horizontal axis) fluctuates mainly due to mineral dust dissolution processes, including proton-promoted and ligand-promoted dissolutions, and the input of highly soluble anthro-Fe. Aerosol samples strongly influenced by mineral dust are predominantly plotted within areas (i) and (ii), both characterized by EF<sub>T-Fe</sub> below 2.0. These areas differ based on the dissolution mechanisms of mineral dust. Area (i): [d-Fe] <inline-formula><mml:math id="M59" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ranging from 0.1 to 1.0 is associated with proton-promoted dissolution (Kodama and Schnitzer, 1973; Desboeufs et al., 2001; Lowson et al., 2005; Duvall et al., 2008; Shi et al., 2011a; Bibi et al., 2011; Bray et al., 2015). Area (ii): [d-Fe] <inline-formula><mml:math id="M60" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] over 1.0 is associated with ligand-promoted dissolution, for example by oxalate (Kodama and Schnitzer, 1973; Bray et al., 2015). Indeed, [d-Fe] <inline-formula><mml:math id="M61" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio of Asian dust (0.24 <inline-formula><mml:math id="M62" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.20) and Arizona test dust (0.23 <inline-formula><mml:math id="M63" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.01) were within the range. Saharan dust has a [d-Fe] <inline-formula><mml:math id="M64" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio of 0.10 <inline-formula><mml:math id="M65" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04, close to the lower limit of the [d-Fe] <inline-formula><mml:math id="M66" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio observed for aluminosilicate minerals (Shi et al., 2011a; Desboeufs et al., 2024). Area (ii), where [d-Fe] <inline-formula><mml:math id="M67" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] exceeds 1.00, is associated with ligand-promoted dissolution, for example by oxalate (Kodama and Schnitzer, 1973; Bray et al., 2015).</p>
      <p id="d2e777">Aerosol particles plotted in areas (iii) and (iv) are influenced by anthro-Fe, indicated by EF<sub>T-Fe</sub> greater than 2.0, with the distinction between these areas being the solubility of the anthro-Fe. In area (iii), insoluble anthro-Fe is primarily thought to stem from sources like non-exhaust vehicle particles (e.g., brake pad wear) and steel slag, which exhibited high T-Fe <inline-formula><mml:math id="M69" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratio compared to mineral dust. The Fe<sub>sol</sub>% of these anthro-Fe (<inline-formula><mml:math id="M71" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 0.01 %) is markedly lower than that of fresh mineral dust (Fe<sub>sol</sub>%: 0.10 %–1.00 %) (Shupert et al., 2013; Halle et al., 2021; Cui et al., 2025). As a result, although anthro-Fe contributes to enhance T-Fe <inline-formula><mml:math id="M73" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratio, it has little impact on [d-Fe] <inline-formula><mml:math id="M74" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio. Therefore, [d-Fe] <inline-formula><mml:math id="M75" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio of aerosol particles in area (iii) is similar to mineral dust. In contrast, the anthro-Fe in area (iv) is easily dissolved, leading to an increase in the [d-Fe] <inline-formula><mml:math id="M76" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio. The readily soluble anthro-Fe discussed here includes both initially soluble anthro-Fe with high Fe<sub>sol</sub>% at emission and initially insoluble anthro-Fe plotted in area (iii), which subsequently becomes more soluble through proton-promoted and ligand-promoted dissolutions. Finally, aerosol particles in area (v) originate from aluminosilicate glasses primarily emitted during combustion processes, including coal burning and municipal solid waste incineration, and are characterized by a [d-Fe] <inline-formula><mml:math id="M78" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio below 0.10 (Seidel and Zimmels, 1998; Praharaj et al., 2002; Kim et al., 2003; Huang et al., 2007; Chang et al., 2009; Gitari et al., 2009; Komonweeraket et al., 2015). Additionally, some samples from the Sharan Desert showed values below 0.1, suggesting that these sources may also occasionally contribute (Shi et al., 2011a; Desboeufs et al., 2024).</p>
      <p id="d2e866">Assuming a binary mixing between areas (i) and (iv) in Fig. 1, the fractions of d-Fe derived from mineral dust (<inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>mineral-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) and anthro-Fe (<inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) in aerosol particles are estimated by the following equations:

                <disp-formula specific-use="gather" content-type="numbered"><mml:math id="M81" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E2"><mml:mtd><mml:mtext>2</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mi>f</mml:mi><mml:mtext>mineral-dFe</mml:mtext></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">100</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="italic">%</mml:mi></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E3"><mml:mtd><mml:mtext>3</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mtable rowspacing="0.2ex" class="split" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:msub><mml:mfenced open="(" close=")"><mml:mfenced open="[" close="]"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mtext>d-Fe</mml:mtext><mml:mtext>d-Al</mml:mtext></mml:mfrac></mml:mstyle></mml:mfenced></mml:mfenced><mml:mtext>aerosol</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mfenced open="(" close=")"><mml:mfenced open="[" close="]"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mtext>d-Fe</mml:mtext><mml:mtext>d-Al</mml:mtext></mml:mfrac></mml:mstyle></mml:mfenced></mml:mfenced><mml:mtext>mineral</mml:mtext></mml:msub></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mspace linebreak="nobreak" width="1em"/><mml:mo>×</mml:mo><mml:msub><mml:mi>f</mml:mi><mml:mtext>mineral-dFe</mml:mtext></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mfenced close=")" open="("><mml:mfenced open="[" close="]"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mtext>d-Fe</mml:mtext><mml:mtext>d-Al</mml:mtext></mml:mfrac></mml:mstyle></mml:mfenced></mml:mfenced><mml:mtext>anthro</mml:mtext></mml:msub><mml:mo>×</mml:mo><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula></p>
      <p id="d2e991">A key limitation of this approach is the selection of appropriate representative [d-Fe] <inline-formula><mml:math id="M82" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] for mineral dust and anthro-Fe. Representative [d-Fe] <inline-formula><mml:math id="M83" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratios of mineral dust in East Asian/North Pacific and Atlantic aerosols were determined utilizing the values derived from Asian dust (<inline-formula><mml:math id="M84" display="inline"><mml:mo lspace="0mm">=</mml:mo></mml:math></inline-formula> 0.24 <inline-formula><mml:math id="M85" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.20, Duvall et al., 2008) and Saharan dust (<inline-formula><mml:math id="M86" display="inline"><mml:mo lspace="0mm">=</mml:mo></mml:math></inline-formula> 0.11 <inline-formula><mml:math id="M87" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.06, Desboeufs et al., 2001, 2024; Shi et al., 2011a). The mean [d-Fe] <inline-formula><mml:math id="M88" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio of fine aerosol particles collected in East Asia exceeding 1.5 was adopted as the representative [d-Fe] <inline-formula><mml:math id="M89" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio for anthro-Fe, yielding a value of 2.67 <inline-formula><mml:math id="M90" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.88 (Sakata et al., 2023).</p>
      <p id="d2e1058">Previous studies have reported that Fe<sub>sol</sub>% and Al<sub>sol</sub>% obtained by acetate buffer extraction are higher than those obtained by ultrapure water extraction (Clough et al., 2019; Perron et al., 2020b; Tang et al., 2025). However, the increase in Fe<sub>sol</sub>% caused by acetate buffer extraction varies widely among studies, ranging from 1.4- to 7.0-fold (Perron et al., 2020b; Tang et al., 2025), making it difficult to apply a consistent correction factor. Therefore, no correction was applied to the solubilities obtained by acetate buffer extraction in this study. In addition, because the ratio of the increases in Fe<sub>sol</sub>% and Al<sub>sol</sub>% does not exceed a factor of two (Tang et al., 2025), the effect of extraction method on the [d-Fe] <inline-formula><mml:math id="M96" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio is expected to be relatively small, and no correction was applied to the [d-Fe] <inline-formula><mml:math id="M97" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratios obtained by acetate buffer extraction. Therefore, the influence of differences in extraction methods on the source apportionment of T-Fe and d-Fe based on this diagram is considered to be limited.</p>

      <fig id="F1"><label>Figure 1</label><caption><p id="d2e1123">Relationships of emission sources of T-Fe and d-Fe with [d-Fe] <inline-formula><mml:math id="M98" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio and EF<sub>T-Fe</sub>. This figure was partially modified from Sakata et al. (2025).</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f01.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Calculation of source-specific Fe solubility</title>
      <p id="d2e1156">The Fe<sub>sol</sub>% and Al<sub>sol</sub>% were calculated by the following equations:

                <disp-formula specific-use="gather" content-type="numbered"><mml:math id="M102" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E4"><mml:mtd><mml:mtext>4</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mtext>Fe</mml:mtext><mml:mtext>sol</mml:mtext></mml:msub><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mtext>d-Fe </mml:mtext><mml:mtext>T-Fe</mml:mtext></mml:mfrac></mml:mstyle></mml:mfenced><mml:mtext>aerosol</mml:mtext></mml:msub><mml:mo>×</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E5"><mml:mtd><mml:mtext>5</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mtext>Al</mml:mtext><mml:mtext>sol</mml:mtext></mml:msub><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mtext>d-Al </mml:mtext><mml:mtext>T-Al</mml:mtext></mml:mfrac></mml:mstyle></mml:mfenced><mml:mtext>aerosol</mml:mtext></mml:msub><mml:mo>×</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

          In this study, Fe<sub>sol</sub>% of mineral dust and anthropogenic aerosol (mineral-Fe<sub>sol</sub>% and anthro-Fe<sub>sol</sub>%, respectively) were evaluated separately. Mineral-Fe and anthro-Fe concentrations were determined using the following equations:

                <disp-formula specific-use="align" content-type="numbered"><mml:math id="M106" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E6"><mml:mtd><mml:mtext>6</mml:mtext></mml:mtd><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mtext>Mineral</mml:mtext><mml:mspace width="0.25em" linebreak="nobreak"/><mml:mtext>Fe </mml:mtext><mml:mfenced close=")" open="("><mml:mrow><mml:msup><mml:mrow class="unit"><mml:mi mathvariant="normal">ng</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">m</mml:mi></mml:mrow><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:mfenced><mml:mo>=</mml:mo><mml:mtext>Total Al</mml:mtext><mml:mo>×</mml:mo><mml:msub><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mtext>T-Fe</mml:mtext><mml:mtext>T-Al</mml:mtext></mml:mfrac></mml:mstyle></mml:mfenced><mml:mtext>aerosol</mml:mtext></mml:msub></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E7"><mml:mtd><mml:mtext>7</mml:mtext></mml:mtd><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mtext>Anthro</mml:mtext><mml:mspace linebreak="nobreak" width="0.25em"/><mml:mtext>Fe </mml:mtext><mml:mfenced open="(" close=")"><mml:mrow><mml:msup><mml:mrow class="unit"><mml:mi mathvariant="normal">ng</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">m</mml:mi></mml:mrow><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:mfenced><mml:mo>=</mml:mo><mml:mtext>Total Fe-Mineral Fe</mml:mtext></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

          The d-Fe concentrations dissolved from mineral dust and anthro-Fe (mineral-dFe and anthro-dFe, respectively) were calculated by multiplying the d-Fe concentration by <inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>mineral-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthrod-Fe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, respectively.

                <disp-formula specific-use="gather" content-type="numbered"><mml:math id="M109" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E8"><mml:mtd><mml:mtext>8</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mtext>Mineral dFe</mml:mtext><mml:mo>=</mml:mo><mml:mtext>dFe</mml:mtext><mml:mo>×</mml:mo><mml:msub><mml:mi>f</mml:mi><mml:mtext>mineral-dFe</mml:mtext></mml:msub></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E9"><mml:mtd><mml:mtext>9</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mtext>Anthro</mml:mtext><mml:mspace linebreak="nobreak" width="0.25em"/><mml:mtext>dFe</mml:mtext><mml:mo>=</mml:mo><mml:mtext>dFe</mml:mtext><mml:mo>×</mml:mo><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

          Finally, mineral-Fe<sub>sol</sub>% and anthro-Fe<sub>sol</sub>% were calculated using the same equation as Eq. (4).</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results and Discussion</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Overview of global dataset</title>
      <p id="d2e1461">This compiled dataset integrates aerosol samples collected in East Asia with marine aerosol samples observed over the North and South Pacific, and Atlantic for which T-Fe, d-Fe, T-Al, and d-Al concentrations were all available. In total, the dataset includes 1096 samples (East Asia: 428; North Pacific: 233; South Pacific: 91; Atlantic: 361), comprising TSP from all four regions and size-resolved coarse aerosol particles and fine aerosol particles from East Asia and the North Pacific where such measurements were available. Table 1 summarizes, for TSP in each region and basin, the dominant sources of T-Fe and d-Fe, as well as T-Fe concentration, d-Fe concentration, Fe<sub>sol</sub>%, and <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>. Across the full dataset, T-Fe concentrations ranged from <inline-formula><mml:math id="M114" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.1 to 14 166.7 ng m<sup>−3</sup> (mean: 278.1 <inline-formula><mml:math id="M116" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 860.7 ng m<sup>−3</sup>; median: 33.3 ng m<sup>−3</sup>). High-T-Fe samples occurred mainly in East Asia, whereas samples from the North Pacific and South Pacific were concentrated in the low-T-Fe range; Atlantic samples showed an intermediate distribution (Table 1). d-Fe concentrations ranged from <inline-formula><mml:math id="M119" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.1 to 212.7 ng m<sup>−3</sup>, with the highest value observed in the Atlantic (Table 1). Although East Asian aerosols showed the highest mean d-Fe concentrations, the contrast with marine aerosols was much smaller than that for T-Fe, suggesting that d-Fe concentrations in marine aerosols cannot be explained solely by the transport flux of Fe-bearing aerosols from continental source regions.</p>
      <p id="d2e1554">Fe<sub>sol</sub>%, which strongly affects d-Fe concentrations, showed a wide range from 0.01 % to 99.95 % (mean: 9.76 <inline-formula><mml:math id="M122" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 15.2 %; median: 4.57 %). Mean Fe<sub>sol</sub>% was lowest in East Asia and higher in the North Pacific, reflecting the strong influence of East Asian outflow. By comparison, Fe<sub>sol</sub>% in the South Pacific and Atlantic was lower than in the North Pacific, suggesting that these regions are less strongly affected by processes that enhance Fe<sub>sol</sub>%. As in previous studies, Fe<sub>sol</sub>% increased as T-Fe concentration decreased in all regions (Fig. 2a; Sholkovitz et al., 2012; Mahowald et al., 2018). This inverse relationship was observed commonly over both land and ocean, indicating that it is a globally shared characteristic (Fig. 2a). Previous studies suggest that this relationship mainly reflects (1) preferential removal of coarse mineral dust with low solubility relative to fine anthro-Fe with higher solubility, which increases the relative importance of anthro-Fe as aerosol concentrations decrease, and (2) increased Fe<sub>sol</sub>% through chemical processing during atmospheric transport (Mahowald et al., 2018). The sources of d-Fe in aerosols from each region and basin were evaluated using the [d-Fe] <inline-formula><mml:math id="M128" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al]-EF<sub>T-Fe</sub> diagram. Many samples had EF<sub>T-Fe</sub> ratios less than 2.0 and [d-Fe] <inline-formula><mml:math id="M131" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratios less than 1.0 (Fig. 2b), suggesting that T-Fe was derived mainly from mineral dust and that d-Fe was produced primarily through proton-promoted dissolution of those particles. Moreover, mean <inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> was less than 10 % in all regions and basins, indicating that mineral dust-derived d-Fe is globally important for Fe supply to the ocean.</p>

      <fig id="F2" specific-use="star"><label>Figure 2</label><caption><p id="d2e1665"><bold>(a)</bold> Inverse plot of T-Fe concentration with Fe<sub>sol</sub>% and <bold>(b)</bold> [d-Fe] <inline-formula><mml:math id="M134" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al]-EF<sub>T-Fe</sub> diagram in aerosol samples compiled by this study.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f02.png"/>

        </fig>

<table-wrap id="T1" specific-use="star"><label>Table 1</label><caption><p id="d2e1708">Basin-scale summary of aerosol Fe sources, T-Fe and d-Fe concentrations, Fe solubility (Fe<sub>sol</sub>%), and anthropogenic contribution to d-Fe (<inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) in TSPs. Values are presented as mean <inline-formula><mml:math id="M138" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> standard deviation, with ranges in parentheses.  Figure numbers below each region refer to figures showing the spatial distributions of these values.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="1.5cm"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="2cm"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="3cm"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="2.2cm"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="2cm"/>
     <oasis:colspec colnum="6" colname="col6" align="justify" colwidth="2cm"/>
     <oasis:colspec colnum="7" colname="col7" align="justify" colwidth="2cm"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1" align="left">Area</oasis:entry>
         <oasis:entry colname="col2" align="left">T-Fe source(s)</oasis:entry>
         <oasis:entry colname="col3" align="left">d-Fe source(s)</oasis:entry>
         <oasis:entry colname="col4" align="left">Mean T-Fe conc. (ng m<sup>−3</sup>)</oasis:entry>
         <oasis:entry colname="col5" align="left">Mean d-Fe conc. (ng m<sup>−3</sup>)</oasis:entry>
         <oasis:entry colname="col6" align="left">Mean Fe<sub>sol</sub>% (%)</oasis:entry>
         <oasis:entry colname="col7" align="left">Mean <inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (%)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1" align="left">East Asia</oasis:entry>
         <oasis:entry colname="col2" align="left">TSP and coarse aerosol:Mineral dustFine aerosol:Mineral dust <inline-formula><mml:math id="M143" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> anthro-Fe</oasis:entry>
         <oasis:entry colname="col3" align="left">TSP and coarse:Fe dissolution from mineral dustFine aerosols:Fe dissolution from mineral dust and anthro-Fe emitted as insoluble Fe</oasis:entry>
         <oasis:entry colname="col4" align="left">1101.3 <inline-formula><mml:math id="M144" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1861.7 (15.6–14 166.7)</oasis:entry>
         <oasis:entry colname="col5" align="left">12.6 <inline-formula><mml:math id="M145" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 27.0 (0.6–98.0)</oasis:entry>
         <oasis:entry colname="col6" align="left">3.5 <inline-formula><mml:math id="M146" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.2 (0.1–17.5)</oasis:entry>
         <oasis:entry colname="col7" align="left">7.9 <inline-formula><mml:math id="M147" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10.3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1" align="left">N. Pacific (Fig. 6)</oasis:entry>
         <oasis:entry colname="col2" align="left">Asian outflow of mineral dust</oasis:entry>
         <oasis:entry colname="col3" align="left">Fe dissolution from mineral dust: Fe<sub>sol</sub>% in coarse aerosols were enhanced by chemical alteration in the marine atmosphere episodic anthro-Fe supply from shipping</oasis:entry>
         <oasis:entry colname="col4" align="left">50.0 <inline-formula><mml:math id="M149" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 104.4 (0.2–764.5)</oasis:entry>
         <oasis:entry colname="col5" align="left">4.5 <inline-formula><mml:math id="M150" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7.3 (<inline-formula><mml:math id="M151" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula>0.1–45.9)</oasis:entry>
         <oasis:entry colname="col6" align="left">13.9 <inline-formula><mml:math id="M152" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 14.4 (0.4–74.2)</oasis:entry>
         <oasis:entry colname="col7" align="left">6.1 <inline-formula><mml:math id="M153" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10.4</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1" align="left">Atlantic (Fig. 9)</oasis:entry>
         <oasis:entry colname="col2" align="left">Saharan dust</oasis:entry>
         <oasis:entry colname="col3" align="left">Fe dissolution from mineral dust: cloud processing in high altitude Anthro-Fe mostly insoluble</oasis:entry>
         <oasis:entry colname="col4" align="left">387.2 <inline-formula><mml:math id="M154" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 922.9 (0.2–5650.0)</oasis:entry>
         <oasis:entry colname="col5" align="left">6.9 <inline-formula><mml:math id="M155" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 23.4 (<inline-formula><mml:math id="M156" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula>0.1–212.7)</oasis:entry>
         <oasis:entry colname="col6" align="left">6.2 <inline-formula><mml:math id="M157" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6.8 (0.1–50.8)</oasis:entry>
         <oasis:entry colname="col7" align="left">5.1 <inline-formula><mml:math id="M158" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9.7</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1" align="left">S. Pacific (Fig. 12)</oasis:entry>
         <oasis:entry colname="col2" align="left">Mineral dust and volcanic influence near Heard Island</oasis:entry>
         <oasis:entry colname="col3" align="left">Coastal Australia aerosols affected by anthro emissions acidified aerosols. Volcanic influence near Heard Island</oasis:entry>
         <oasis:entry colname="col4" align="left">17.6 <inline-formula><mml:math id="M159" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 25.3 (0.1–129.8)</oasis:entry>
         <oasis:entry colname="col5" align="left">1.0 <inline-formula><mml:math id="M160" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 23.4 (<inline-formula><mml:math id="M161" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula>0.1–8.3)</oasis:entry>
         <oasis:entry colname="col6" align="left">7.3 <inline-formula><mml:math id="M162" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6.4 (<inline-formula><mml:math id="M163" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula>0.1–41.9)</oasis:entry>
         <oasis:entry colname="col7" align="left">Up to 20 % near Australia. Apparent high values near Heard Island are driven by volcanic ash (not anthro-Fe).</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d2e1738">East Asia: Duvall et al. (2008); Kurisu et al. (2019); Hsieh et al. (2023); Sakata et al. (2023, 2025); Seo and Kim (2023). The North Pacific: Buck et al. (2006, 2013); Marsay et al. (2022); Sakata et al. (2022); Kurisu et al. (2024). The Atlantic Ocean: Baker et al. (2006a, b, 2013, 2020); Buck et al. (2010a, b); Chance et al. (2015). The South Pacific: Buck et al. (2013, 2019); Sakata et al. (2022); Perron et al. (2020a, 2021).</p></table-wrap-foot></table-wrap>

</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>East Asian aerosols</title>
<sec id="Ch1.S4.SS2.SSS1">
  <label>4.2.1</label><title>Monthly trends of Fe and Al concentrations</title>
      <p id="d2e2112">Elevated T-Fe and T-Al concentrations were primarily observed from March to May (Fig. 3a), consistent with the seasonal trend of Asian dust transport from the Gobi and Taklamakan Deserts, which peaks in March–May (Uematsu et al., 1983; Zhu et al., 2020; Kawai et al., 2021). T-Fe concentrations correlated strongly with T-Al concentrations in TSP samples (Fig. S1a), and the mean EF<sub>T-Fe</sub> (1.6 <inline-formula><mml:math id="M165" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.6; monthly mean: 1.2–1.9) was below 2.0, indicating that T-Fe in East Asian TSPs were mainly derived from mineral dust. Although the mean concentrations of T-Fe and T-Al were comparable in the coarse and fine fractions, their median concentrations tended to be higher in the coarse fraction (Fig. S2a). Approximately 70 % of aerosol Fe has previously been reported to reside in coarse aerosol particles (e.g., Kurisu et al., 2019; Sakata et al., 2023, 2025). However, these studies generally used a cutoff diameter of approximately 1.0 <inline-formula><mml:math id="M166" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> to separate coarse and fine particles. Under the size classification used in the present study, particles with diameters of 1.0–2.5 <inline-formula><mml:math id="M167" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> were included in the fine fraction. This difference in the cutoff diameter likely explains why the fine fraction accounted for a larger proportion of T-Fe in the present study than in previous studies.</p>
      <p id="d2e2151">The d-Fe and d-Al concentrations in TSP ranged from 0.6 to 98 ng m<sup>−3</sup> and from 1 to 101 ng m<sup>−3</sup>, respectively (Fig. S1b). d-Fe concentrations were positively correlated with d-Al concentrations, suggesting that the two dissolved metals are influenced by similar processes (Fig. S1b). Both d-Fe and d-Al concentrations tended to be higher in March-May, consistent with the seasonal patterns of T-Fe and T-Al (Fig. 3b). This indicated that the atmospheric loading of mineral dust and anthropogenic aerosols was an important factor influencing d-Fe variability. However, no significant correlations were found between T-Fe and d-Fe, or between T-Al and d-Al (Fig. S1c and d), indicating that total elemental loading alone cannot explain the variability in dissolved metal concentrations. In contrast to T-Fe and T-Al, fine aerosol particles exhibited higher mean concentrations of d-Fe and d-Al than coarse aerosol particles (Fig. S2a). These findings highlighted the important role of fine aerosol particles in supplying Fe to surface seawater via atmospheric deposition.</p>

      <fig id="F3" specific-use="star"><label>Figure 3</label><caption><p id="d2e2180">Monthly mean concentrations of <bold>(a)</bold> T-Fe and T-Al, and <bold>(b)</bold> d-Fe and d-Al in East Asian TSP.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f03.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS2.SSS2">
  <label>4.2.2</label><title>Factors controlling Fe<sub>sol</sub>% of East Asian TSP</title>
      <p id="d2e2213">The annual mean Fe<sub>sol</sub>% in East Asian TSP was 3.5 <inline-formula><mml:math id="M172" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.2 %, ranging from 0.1 % to 17.5 %, and tended to be higher during June–August (Fig. 4a). Both mineral-Fe<sub>sol</sub>% and anthro-Fe<sub>sol</sub>% showed similar seasonal patterns of Fe<sub>sol</sub>%, although the solubility of anthro-Fe was lower than that of mineral-Fe (Fig. 4a). Despite lower anthro-Fe<sub>sol</sub>% than mineral-Fe<sub>sol</sub>%, anthro-dFe also increased during June–August, indicating that anthro-Fe may have partly contributed to the seasonal variation in bulk Fe<sub>sol</sub>%. Nevertheless, the annual mean <inline-formula><mml:math id="M179" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in TSP was only 7.9 <inline-formula><mml:math id="M180" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10.3 % (Fig. 5a). Accordingly, most East Asian TSP samples plotted within areas (i) and (iii) of the [d-Fe] <inline-formula><mml:math id="M181" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al]–EF<sub>T-Fe</sub> diagram (Fig. 5b). This distribution indicates that T-Fe originated primarily from mineral dust and poorly soluble anthro-Fe, whereas d-Fe was derived mainly from proton-promoted dissolution of mineral dust, with only a limited contribution from anthro-Fe.</p>

      <fig id="F4" specific-use="star"><label>Figure 4</label><caption><p id="d2e2324"><bold>(a)</bold> Monthly variations in Fe<sub>sol</sub>%, mineral-Fe<sub>sol</sub>%, and anthro-Fe<sub>sol</sub>% for TSP, and <bold>(b)</bold> their relationships with Fe concentration. <bold>(c, d)</bold> Same as <bold>(a)</bold>, <bold>(b)</bold>, but for coarse aerosol particles. <bold>(e, f)</bold> Same as <bold>(a)</bold>, <bold>(b)</bold>, but for fine aerosol particles. Cyan circles, orange squares, black diamonds, and gray triangles represent Fe<sub>sol</sub>%, mineral-Fe<sub>sol</sub>%, combusted anthro-Fe<sub>sol</sub>%, and non-combusted anthro-Fe<sub>sol</sub>%, respectively. Brown dashed lines indicate the power-law fits for mineral-Fe<sub>sol</sub>%, whereas black dashed lines denote the boundaries separating combusted and non-combusted anthro-Fe.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f04.png"/>

          </fig>

      <p id="d2e2430">To investigate the mechanism underlying the inverse relationship between Fe<sub>sol</sub>% and T-Fe concentration, the variations in mineral-Fe<sub>sol</sub>% and anthro-Fe<sub>sol</sub>% with their respective Fe concentrations were examined. If this inverse relationship were governed solely by mixing between mineral dust with low Fe<sub>sol</sub>% and highly soluble anthro-Fe, neither mineral-Fe<sub>sol</sub>% nor anthro-Fe<sub>sol</sub>% would be expected to depend on concentration. However, both mineral-Fe<sub>sol</sub>% and anthro-Fe<sub>sol</sub>% increased as Fe concentration decreased (Fig. 4b). These results indicate that the inverse relationship between Fe<sub>sol</sub>% and T-Fe in East Asian TSP cannot be explained by simple source mixing alone, but instead reflects enhanced Fe dissolution of both mineral dust and anthro-Fe during chemical processing during the atmospheric transport. To evaluate regional differences, two-sided Mann–Whitney <inline-formula><mml:math id="M200" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula> tests with Holm correction were applied because the data were not normally distributed. The analysis showed that TSP collected in Japan during the Asian outflow season exhibited significantly higher Fe solubility than those collected in China and Korea: bulk Fe<sub>sol</sub>% for the TSP samples collected in Japan (mean <inline-formula><mml:math id="M202" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> SD <inline-formula><mml:math id="M203" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4.9 <inline-formula><mml:math id="M204" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.6 %) was higher than those in China and Korea (<inline-formula><mml:math id="M205" display="inline"><mml:mo lspace="0mm">=</mml:mo></mml:math></inline-formula> 2.5 <inline-formula><mml:math id="M206" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.5 %; Holm-adjusted <inline-formula><mml:math id="M207" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.0017</mml:mn></mml:mrow></mml:math></inline-formula>). Significant differences were also observed for mineral-Fe<sub>sol</sub>% (Japan: 6.2 <inline-formula><mml:math id="M209" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.5 %, China and Korea: 3.2 <inline-formula><mml:math id="M210" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.1 %; Holm-adjusted <inline-formula><mml:math id="M211" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>.0012) and anthro-Fe<sub>sol</sub>% (Japan: 2.5 <inline-formula><mml:math id="M213" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.2 %, China and Korea: 0.9 <inline-formula><mml:math id="M214" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.2 %; Holm-adjusted <inline-formula><mml:math id="M215" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>.0057). Together, these results support the progressive solubilization of both mineral-Fe and anthro-Fe during transport from the East Asian continent.</p>
      <p id="d2e2652">Anthro-Fe<sub>sol</sub>% in East Asian TSP exhibited a wider variation than mineral-Fe<sub>sol</sub>% (Fig. 4b). Although combustion-derived anthro-Fe is generally considered to be more soluble than mineral-Fe, some samples showed anthro-Fesol% lower than mineral-Fe<sub>sol</sub>% and below 0.1 %, the approximate lower limit reported for combustion-derived Fe. Such low-solubility anthro-Fe was likely derived from sources other than high-temperature combustion. To account for changes in the solubility of mineral-Fe and anthro-Fe during atmospheric transport, the use of a fixed threshold such as 0.1 % was avoided. Instead, a boundary line parallel to and below the log–log regression line between mineral-Fe concentration and mineral-Fesol% was defined so that 5 % of the mineral-Fe samples fell below it. For each mineral-Fe sample, the relative deviation from the regression relationship was quantified as the logarithm of the observed-to-predicted mineral-Fe<sub>sol</sub>% ratio [log(observed mineral-Fe<sub>sol</sub>% <inline-formula><mml:math id="M221" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> predicted mineral-Fe<sub>sol</sub>%)]. The 5th percentile of these relative deviations was then added to the intercept of the regression equation to define the boundary line. Based on this boundary, anthro-Fe samples below the boundary line were operationally classified as non-combusted anthro-Fe, whereas those above the line were classified as high-temperature combustion-derived anthro-Fe, with solubility comparable to or higher than that of mineral-Fe (Fig. 4b).</p>
      <p id="d2e2717">In the non-combusted anthro-Fe group below the boundary, all anthro-Fe<sub>sol</sub>% values were below 1.0 %, with an average of 0.3 <inline-formula><mml:math id="M224" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 %. Several samples with high anthro-Fe concentrations showed particularly low values of less than 0.1 %. Such low solubility is consistent with non-combusted anthro-Fe, including Fe associated with brake-pad debris and tire-wear particles (Shupert et al., 2013; Halle et al., 2021; Cui et al., 2025). By contrast, the high-temperature combustion-derived anthro-Fe group above the boundary had an average anthro-Fe<sub>sol</sub>% of 4.0 <inline-formula><mml:math id="M226" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.7 %, higher than the average mineral-Fe<sub>sol</sub>% of 2.4 <inline-formula><mml:math id="M228" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.1 % in East Asian TSP. This characteristic is consistent with the generally higher solubility of anthro-Fe derived from high-temperature combustion. However, anthro-Fe<sub>sol</sub>% was generally only approximately 1 % even in high-concentration samples dominated by relatively fresh aerosol particles. This observation implies that these particles were emitted with relatively low initial solubility rather than in a highly soluble form and that they subsequently underwent solubilization through chemical processing during atmospheric transport (Sholkovitz et al., 2009; Ito et al., 2021).</p>

      <fig id="F5" specific-use="star"><label>Figure 5</label><caption><p id="d2e2780">Diagrams between [d-Fe] <inline-formula><mml:math id="M230" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] and EF<sub>T-Fe</sub> in <bold>(a)</bold> TSPs, <bold>(b)</bold> coarse aerosol particles and <bold>(c)</bold> fine aerosol particles and their magnified figures. <bold>(d)</bold> Monthly trends of <inline-formula><mml:math id="M232" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>mineral-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M233" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in TSP, coarse and fine aerosol particles.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f05.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS2.SSS3">
  <label>4.2.3</label><title>Factors controlling Fe<sub>sol</sub>% of East Asian coarse aerosol particles</title>
      <p id="d2e2858">The mean Fe<sub>sol</sub>% in coarse aerosol particles was 1.0 <inline-formula><mml:math id="M236" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.1 %, with higher values observed from June to August (Fig. 4c). This value was lower than the mean mineral-Fe<sub>sol</sub>% of 2.3 <inline-formula><mml:math id="M238" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.9 % but higher than the mean anthro-Fe<sub>sol</sub>% of 0.1 <inline-formula><mml:math id="M240" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 % (Fig. 4c). As observed for TSP, most coarse aerosol samples were distributed within regions (i) and (iii) of the [d-Fe] <inline-formula><mml:math id="M241" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al]–EF<sub>T-Fe</sub> diagram (Fig. 5c). These results indicate that T-Fe in East Asian coarse aerosol particles was derived primarily from mineral dust and poorly soluble anthro-Fe, whereas d-Fe was supplied mainly through proton-promoted dissolution of mineral dust. Indeed, the contribution of anthro-Fe to d-Fe in coarse aerosol particles remained low throughout the year, with an annual mean of only 2.4 <inline-formula><mml:math id="M243" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.9 % (Fig. 5a).</p>
      <p id="d2e2933">Even in coarse aerosol particles, mineral-Fe<sub>sol</sub>% increased with decreasing mineral-Fe concentration (Fig. 4d). Because there is little reason to assume multiple mineral-dust endmembers with different initial Fe<sub>sol</sub>% values, this inverse relationship is interpreted as resulting not from simple mixing but from the combined effects of chemical processing during atmospheric transport and depositional removal. The mean mineral-Fe<sub>sol</sub>% in coarse aerosol particles was 2.3 <inline-formula><mml:math id="M247" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.9 %, slightly exceeding the range reported for fresh mineral dust (Duvall et al., 2008; Shi et al., 2011a; Desboeufs et al., 2001). However, mineral dust in coarse aerosol particles occurs predominantly as crystalline aluminosilicates and contains relatively high proportions of alkaline minerals such as calcite (CaCO<sub>3</sub>), making coarse particles less susceptible to strong acidification than fine aerosol particles. Proton-promoted Fe dissolution from Fe-bearing aluminosilicates is generally considered to proceed only after the buffering capacity of CaCO<sub>3</sub> has been depleted. Nevertheless, CaCO<sub>3</sub> is known to remain in coarse particles even after transport from the Gobi and Taklamakan deserts to Japan (Meskhidze et al., 2005; Fairlie et al., 2010; Takahashi et al., 2009; Miyamoto et al., 2020). Substantial Fe solubilization through aerosol acidification is therefore unlikely in coarse aerosol particles. Instead, the modest increase in the observed mineral-Fe<sub>sol</sub>% was likely attributable to the partial transformation of Fe in chlorite and biotite into ferrihydrite and Fe(II, III) sulfates (Takahashi et al., 2011; Sakata et al., 2025).</p>
      <p id="d2e3007">Most anthro-Fe in coarse aerosol particles was distributed below the boundary line separating combusted from non-combusted anthro-Fe, and the low-solubility group exhibited an extremely low mean anthro-Fe<sub>sol</sub>% of 0.05 <inline-formula><mml:math id="M253" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.05 % (Fig. 4). These particles likely corresponded primarily to non-combustion anthro-Fe, including resuspended non-exhaust vehicle particles and slag originating from raw-material and by-product storage areas at steel-production facilities (Harrison et al., 2012; Kajino et al., 2020; Kurisu et al., 2019, 2026). Because Fe in these particles occurs mainly as Fe oxides, which are less soluble than Fe in aluminosilicates under weakly acidic to neutral conditions, its contribution to d-Fe in coarse aerosol particles was likely limited (Journet et al., 2008; Shupert et al., 2013; Halle et al., 2021; Cui et al., 2025).</p>
</sec>
<sec id="Ch1.S4.SS2.SSS4">
  <label>4.2.4</label><title>Factors controlling Fe<sub>sol</sub>% of East Asian fine aerosol particles</title>
      <p id="d2e3044">The annual mean bulk Fe<sub>sol</sub>% in fine aerosol particles was 21.1 <inline-formula><mml:math id="M256" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 23.6 %, approximately one order of magnitude higher than that in coarse aerosol particles (1.0 <inline-formula><mml:math id="M257" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.1 %) (Fig. 4c, e). In fine aerosol particles, both mineral-Fe<sub>sol</sub>% (mean: 27.9 <inline-formula><mml:math id="M259" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 28.0 %) and anthro-Fe<sub>sol</sub>% (mean: 16.0 <inline-formula><mml:math id="M261" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 22.3 %) exceeded 10 % (Fig. 4e), corresponding to higher d-Fe concentrations than those in coarse aerosol particles (Fig. S2a). Unlike TSP and coarse aerosol particles, fine aerosol particles were plotted in area (iv), indicating that anthro-Fe with high Fesol% contributed to d-Fe sources (Fig. 5d). Indeed, the fraction of d-Fe derived from anthro-Fe averaged 21.0 <inline-formula><mml:math id="M262" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 26.3 % and was therefore not negligible (Fig. 5a). Nevertheless, anthro-Fe<sub>sol</sub>% was lower than mineral-Fe<sub>sol</sub>% (Fig.  4e) due to the presence of insoluble anthro-Fe plotted in area (iii) (Fig. 5d). Most anthro-Fe in fine aerosol particles was distributed above the boundary separating combusted from non-combusted anthro-Fe, although the contribution of anthro-Fe below the boundary was also non-negligible (Fig. 4f). This distribution indicates that fine aerosol particles contained not only highly soluble combusted anthro-Fe but also poorly soluble non-combusted anthro-Fe. The contribution of the latter likely partly explains why anthro-Fe<sub>sol</sub>% was lower than mineral-Fe<sub>sol</sub>% in fine aerosol particles.</p>
      <p id="d2e3147">In fine aerosol particles, both mineral-Fe<sub>sol</sub>% and combusted anthro-Fe<sub>sol</sub>% increased with decreasing concentrations of their respective Fe components, providing clear evidence that both components underwent solubilization during atmospheric transport (Fig. 4f). This likely reflects the large specific surface area of fine aerosol particles and their greater susceptibility to reactions with acidic species and organic ligands. Fine aerosol particles are particularly susceptible to acidification because their pH is generally more than one unit lower than that of coarse aerosol particles, which retain CaCO<sub>3</sub> (Guo et al., 2018; Pye et al., 2020). Consistent with this interpretation, single-particle analyses have identified sulfate coatings on both mineral dust and anthro-Fe in fine aerosol particles, and Fe(III)-sulfates have been detected in TSP and fine aerosol particles collected in Japan (Sullivan et al., 2007; Li et al., 2017; Zhu et al., 2022; Takahashi et al., 2013; Sakata et al., 2025). Furthermore, Fe(III)-sulfates form under highly acidic conditions (pH <inline-formula><mml:math id="M270" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 3.0), and CaCO<sub>3</sub> has not been detected in fine aerosol particles in Japan, suggesting that acidification of poorly buffered fine particles strongly promoted Fe dissolution (Meskhidze et al., 2005; Fairlie et al., 2010; Miyamoto et al., 2020; Sakata et al., 2022). In both coarse and fine aerosol particles, mineral-Fe<sub>sol</sub>% and anthro-Fe<sub>sol</sub>% were elevated from June to August, consistent with the lower aerosol pH and higher [nss-SO<inline-formula><mml:math id="M274" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>] <inline-formula><mml:math id="M275" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [T-Fe] ratios observed during this season (Tao and Murphy, 2019b; Pye et al., 2020; Song and Osada, 2020; Sakata et al., 2025). These results indicate that acidification was the dominant factor controlling the solubilization of both mineral dust and anthro-Fe in fine aerosol particles. Although anthro-Fe emitted from heavy-oil combustion is known to exhibit Fe<sub>sol</sub>% values exceeding 30 % at the time of emission, samples with anthro-Fe<sub>sol</sub>% above 30 % were uncommon in this study (Sedwick et al., 2007; Schroth et al., 2009; Oakes et al., 2012; Ito et al., 2021). This suggests that anthro-Fe derived from solid-fuel combustion and high-temperature industrial processes, such as coal combustion and steel production, contributed more strongly than highly soluble anthro-Fe from liquid-fuel combustion, such as heavy-oil and gasoline combustion.</p>
      <p id="d2e3252">In the group below the boundary, anthro-Fe<sub>sol</sub>% was frequently below 0.1 %, with a mean value of 0.9 <inline-formula><mml:math id="M279" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8 %. As inferred for coarse aerosol particles, this group likely reflected the influence of non-combustion anthro-Fe, including brake-pad and tire-wear debris in non-exhaust vehicle particles (Kajino et al., 2020; Sakata et al., 2025). Because the maximum anthro-Fesol% in this group was only 3.7 %, it was likely composed of Fe species that are intrinsically resistant to atmospheric solubilization. These results suggest that combusted and non-combusted anthro-Fe differ markedly not only in their initial solubility but also in their reactivity toward solubilization during atmospheric transport.</p>
</sec>
</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>The North Pacific Ocean</title>
<sec id="Ch1.S4.SS3.SSS1">
  <label>4.3.1</label><title>Monthly and spatial trend of T-Fe and d-Fe concentration</title>
      <p id="d2e3287">The North Pacific is strongly influenced by aerosol outflow from East Asia, particularly mineral dust transported from the Asian continent. T-Fe and T-Al concentrations in North Pacific TSPs ranged from 0.2 to 764.5 ng m<sup>−3</sup> and 0.4 to 1320.7 ng m<sup>−3</sup>, respectively. T-Fe was strongly correlated with T-Al, and the slope of the regression line was comparable to the T-Fe <inline-formula><mml:math id="M282" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratio characteristic of mineral dust (Fig. S3a). This suggests that T-Fe in North Pacific TSPs was primarily derived from mineral dust, consistent with the near-unity mean EF<sub>T-Fe</sub> value (1.3 <inline-formula><mml:math id="M284" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.2). Concentrations of d-Fe and d-Al ranged from <inline-formula><mml:math id="M285" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.1 to 45.9 ng m<sup>−3</sup> and 0.1 to 70.8 ng m<sup>−3</sup>, respectively, with d-Fe showing a strong correlation with d-Al (Fig. S3b). The mean [d-Fe] <inline-formula><mml:math id="M288" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio of 0.39 <inline-formula><mml:math id="M289" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.29 aligns with values for mineral dust subjected to proton-promoted dissolution (Fig. S4a). These results indicate that both T-Fe and d-Fe in North Pacific TSPs largely originated from mineral dust.</p>
      <p id="d2e3383">Distinct from East Asian aerosols, North Pacific aerosols exhibited strong correlations between d-Fe and T-Fe concentrations, as well as between d-Al and T-Al concentrations (Fig. S3c and d). This suggests that the amount of d-Fe supplied to the North Pacific is primarily controlled by the total transport flux of T-Fe-containing aerosols. Shipboard observations revealed that T-Fe and d-Fe concentrations in the marine boundary layer decreased with increasing distance from East Asia (Fig. 6a and b), indicating the deposition of T-Fe and d-Fe-containing particles from the atmosphere to the ocean during transport. Furthermore, the highest T-Fe and d-Fe concentrations were observed in March–May, coinciding with the period of mineral dust transport from the Gobi and Taklamakan deserts (Fig. 7a and b).</p>
      <p id="d2e3386">This spatial and seasonal pattern is broadly consistent with satellite-derived dust aerosol optical depth (DAOD), a proxy for the atmospheric column abundance of mineral dust (Song et al., 2021). Satellite observations also show enhanced surface seawater chlorophyll a following dust events over the North Pacific (Luo et al., 2020; Yoon et al., 2022), suggesting that continental mineral dust is an important source of d-Fe supporting biological primary production in this region. These results highlight the importance of understanding both the seasonality of Fe emission sources and the processes controlling Fe<sub>sol</sub>% in North Pacific aerosols.</p>

      <fig id="F6" specific-use="star"><label>Figure 6</label><caption><p id="d2e3401">Spatial distributions of <bold>(a)</bold> T-Fe concentration, <bold>(b)</bold> d-Fe concentration, <bold>(c)</bold> Fe<sub>sol</sub>%, and <bold>(d)</bold> <inline-formula><mml:math id="M292" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in the North Pacific TSP samples. The figure was described using Ocean Data View (Schlitzer, 2025).</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f06.png"/>

          </fig>

      <fig id="F7" specific-use="star"><label>Figure 7</label><caption><p id="d2e3445">Monthly trends of <bold>(a)</bold> T-Fe concentration, <bold>(b)</bold> d-Fe concentration, <bold>(c)</bold> Fe<sub>sol</sub>%, and <bold>(d)</bold> <inline-formula><mml:math id="M294" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in the North Pacific TSP samples.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f07.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS3.SSS2">
  <label>4.3.2</label><title>The impact of anthro-Fe on Fe<sub>sol</sub>% in the North Pacific aerosols</title>
      <p id="d2e3505">Figure S4a shows the relationship between [d-Fe] <inline-formula><mml:math id="M296" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] and EF<sub>T-Fe</sub> in North Pacific TSP samples. Consistent with the mineral dust dominance described above, most samples were distributed within the proton-promoted dissolution regime for mineral dust (area (i) in Fig. S4a). Nevertheless, several samples exhibited EF<sub>T-Fe</sub> values greater than 2.0, indicating that anthro-Fe contributed to T-Fe in North Pacific aerosols. Moreover, 67 of the 155 samples had a detectable anthro-Fe contribution to d-Fe (<inline-formula><mml:math id="M299" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>). Among these, 37 samples had <inline-formula><mml:math id="M300" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values above 10 % (maximum: 73.7 %), indicating that anthro-Fe contribution to d-Fe cannot be negligible in at least some North Pacific aerosols.</p>
      <p id="d2e3559">Following the same approach used for East Asia, anthro-Fe was further classified into combusted anthro-Fe (33 samples) and non-combusted anthro-Fe (34 samples) according to whether anthro-Fe<sub>sol</sub>% overlapped with mineral-Fe<sub>sol</sub>% at similar Fe concentrations (Fig. 8a). Most samples below the boundary were collected from February to May, when East Asian outflow is strong, suggesting a substantial influence of continental anthropogenic emissions. Their mean anthro-Fe<sub>sol</sub>% was 1.0 <inline-formula><mml:math id="M304" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8 %, and although anthro-Fe<sub>sol</sub>% increased slightly with decreasing concentration, the maximum value was only 2.7 %. These particles occurred in both coarse and fine aerosol particles, and their persistently low solubility resembled that of non-exhaust vehicle particles such as brake-pad debris (Fig. 8b and c). Accordingly, non-combusted anthro-Fe, including non-exhaust vehicle particles, likely remains largely insoluble even after long-range transport over the marine atmosphere and probably contributes little to d-Fe supply in the North Pacific.</p>
      <p id="d2e3606">By contrast, anthro-Fe in TSP plotted above the boundary showed a high mean anthro-Fe<sub>sol</sub>% of 23.2 <inline-formula><mml:math id="M307" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 26.5 % (Fig. 8a). These particles occurred predominantly in fine aerosol particles, with only minor contributions in the coarse fraction (Fig. 8b and c), suggesting a primary association with high-temperature combustion sources. During February to May, when East Asian outflow is strongest, anthro-Fe<sub>sol</sub>% in this group tended to be lower than the overall mean, consistent with a substantial contribution from East Asia-derived solid-fuel combustion, for which anthro-Fe<sub>sol</sub>% at emission is not necessarily high. In contrast, during June–August, particularly in September when the influence of Asian outflow weakened, combusted anthro-Fe often showed anthro-Fe<sub>sol</sub>% values higher than the mean for samples above the boundary separating non-combusted and combusted anthro-Fe. This pattern likely contributed to the enhanced influence of anthro-Fe in TSP during this period (Fig. 7c). One plausible seasonal source is heavy-oil combustion from ship traffic along the major shipping route linking East Asia and North America. A previous modeling study estimated that approximately 40 % of d-Fe in North Pacific aerosols was derived from ship emissions (Ito, 2013), and ship emissions are known to contain highly soluble Fe at emission (Fe<sub>sol</sub>% <inline-formula><mml:math id="M312" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 30 %; Schroth et al., 2009; Oakes et al., 2012). Thus, ship-related anthro-Fe may efficiently enhance Fe<sub>sol</sub>% in June–August. However, because d-Fe concentrations in North Pacific aerosols were lower in June–August than in other seasons (Fig. 7b and d), the annual contribution of ship-related anthro-Fe to total d-Fe deposition is likely limited.</p>

      <fig id="F8" specific-use="star"><label>Figure 8</label><caption><p id="d2e3681">Inverse relationships between T-Fe, mineral-Fe, and anthro-Fe and their respective Fe solubilities in <bold>(a)</bold> TSP, <bold>(b)</bold> coarse aerosol particles, and <bold>(c)</bold> fine aerosol particles collected in the North Pacific. Brown dashed lines indicate the power-law fits for mineral-Fe<sub>sol</sub>%, whereas black dashed lines denote the boundaries separating combusted and non-combusted anthro-Fe.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f08.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS3.SSS3">
  <label>4.3.3</label><title>The impact of chemical alterations on Fe<sub>sol</sub>% in the North Pacific aerosols</title>
      <p id="d2e3726">The mean Fe<sub>sol</sub>%, mineral-Fe<sub>sol</sub>%, and anthro-Fe<sub>sol</sub>% in North Pacific TSP were higher than those in East Asian aerosols collected during winter and spring, when Asian outflow is strongest (Table 2). This suggests that aerosols transported from East Asia undergo further chemical alteration during transport over the North Pacific. Size-resolved comparisons showed that both mineral-Fe<sub>sol</sub>% and anthro-Fe<sub>sol</sub>% increase in coarse aerosol particles during transport from Japan to the North Pacific, whereas no pronounced changes were observed in fine aerosol particles. A similar pattern was observed for Al<sub>sol</sub>%, an indicator of mineral-dust alteration. Al<sub>sol</sub>% in TSP and coarse aerosol particles was higher over the North Pacific than in Japan, whereas no pronounced difference was observed for fine aerosol particles between Japan and the North Pacific (Table 2). Although size-dependent differences in the mineralogical composition of source dust may potentially affect Fe solubility, differences in Fe<sub>sol</sub>% appear to be minimal for freshly emitted mineral dust (Shi et al., 2011a). Additional input of anthro-Fe from ship-derived heavy-oil combustion may provide highly soluble Fe to the marine atmosphere (Sedwick et al., 2007). However, such emissions are expected to affect mainly fine aerosol particles and therefore cannot fully explain the preferential increase in solubility observed in coarse aerosol particles. Thus, the concurrent increases in mineral-Fe<sub>sol</sub>% and Al<sub>sol</sub>% in coarse aerosol particles suggest that mineral dust undergoes further chemical alteration during transport through the marine atmosphere. In contrast, the absence of substantial changes in solubility in fine aerosol particles between East Asia and the North Pacific suggests that their alteration pathway differs from that of coarse aerosol particles. Given that fine aerosol particles generally have larger specific surface areas and are therefore expected to be more reactive than coarse aerosol particles, the pronounced increases in Fe<sub>sol</sub>% and Al<sub>sol</sub>% specifically in coarse aerosol particles are particularly notable and require further explanation.</p>
      <p id="d2e3839">Focusing first on fine aerosol particles, the similarity in Fe<sub>sol</sub>% between East Asia and the North Pacific suggests that substantial Fe solubilization in this size fraction had already occurred during the early stages of transport within East Asia, rather than during subsequent long-range transport over the North Pacific (Table 2). Such rapid Fe dissolution was likely promoted by strongly acidic conditions during transport from China to Japan. This interpretation is consistent with kinetic models showing rapid initial Fe dissolution followed by an approach to a plateau (Shi et al., 2011b). It is also consistent with previous applications of such models, which indicate that Fe dissolution in fine aerosol particles over the Sea of Japan and the North Pacific is already close to this plateau stage (Shi et al., 2011b, 2015; Maters et al., 2016; Sakata et al., 2022, 2025). Thus, additional acidification during subsequent marine transport would not be expected to produce a large further increase in Fe<sub>sol</sub>%. However, aerosol particles likely underwent cloud processing during marine transport. In the absence of organic complexation, such processing would favor ferrihydrite precipitation under moderately acidic conditions, where inorganic Fe solubility is low, approximately pH <inline-formula><mml:math id="M330" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 4.0–6.0 (Pye et al., 2020). The persistence of high Fe<sub>sol</sub>% during marine transport therefore implies that dissolved Fe is stabilized against removal. Complexation with organic ligands is a plausible mechanism, as strong Fe-binding ligands can keep Fe soluble after dissolution. Supporting this idea, Wu et al. (2023) showed that the Fe<sub>sol</sub>% of fine aerosol particles collected on Matsu Island remained high for 10 d in seawater amended with deferoxamine, whereas it decreased to below 1 % without deferoxamine. This finding suggests that strong organic ligands can prevent the decrease in Fe solubility and maintain dissolved Fe over extended periods. Consistent with this interpretation, previous studies have reported or suggested organic ligands capable of stabilizing Fe(II) and/or Fe(III) in marine and coastal rainwater. Microorganisms in cloud water have also been suggested to produce siderophores, a class of strong Fe-binding ligands (Kieber et al., 2003; Willey et al., 2008; Cheize et al., 2012; Vinatier et al., 2016). Fe(III)-HULIS complexes have also been detected in fine aerosol particles over the North Pacific (Sakata et al., 2022; Kurisu et al., 2024). Because these Fe-organic complexes can remain soluble over a wide pH range, organic ligands present in cloud water may help preserve d-Fe during cloud processing and suppress the decrease in Fe solubility that would otherwise occur in the absence of strong organic ligands.</p>
      <p id="d2e3885">By contrast, aerosol acidification is unlikely to be the main reason for elevated Fe<sub>sol</sub>% in coarse aerosol particles over the North Pacific, because previous modeling studies have suggested that calcite buffering remains effective during transport, and charge-balance calculations likewise indicate that coarse aerosol particles over the North Pacific do not contain sufficient acidity to exhaust the buffering capacity of calcite (Meskhidze et al., 2005; Ito and Feng, 2010; Fairlie et al., 2010; Sakata et al., 2022). In the case of coarse aerosol particles, organic ligands may have contributed not only to the stabilization of Fe that had already been released into the dissolved fraction but also to further Fe dissolution from aerosol particles, because a larger fraction of low-solubility mineral Fe likely remained. Indeed, several coarse aerosol samples in this study were plotted in area (ii) of the [d-Fe] <inline-formula><mml:math id="M334" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al]–EF<sub>T-Fe</sub> diagram, where d-Fe is interpreted to be supplied mainly by ligand-promoted dissolution of mineral dust, and these samples showed a high mean Fe<sub>sol</sub>% of 39.9 <inline-formula><mml:math id="M337" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 22.4 %. Experimental results from Wu et al. (2023) support this interpretation, showing that the Fe<sub>sol</sub>% of coarse aerosol particles from Matsu Island increased from a few percent to about 10 % in the presence of a strong Fe-binding ligand under seawater pH conditions. These results indicate that coarse aerosol particles retain a pool of Fe that can undergo further ligand-promoted dissolution. This interpretation is also consistent with the inter-laboratory comparison of Tang et al. (2025), which showed that, under the stronger leaching conditions of the Berger method, the increase in Fe<sub>sol</sub>% relative to ultrapure water extraction was larger than that in Al<sub>sol</sub>%. Such preferential enhancement of Fe relative to Al dissolution can increase [d-Fe] <inline-formula><mml:math id="M341" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratios. Although the number of such samples was limited, the coexistence of high Fe<sub>sol</sub>% and high [d-Fe] <inline-formula><mml:math id="M343" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratios suggest that organic ligands in the marine atmosphere can enhance Fe dissolution from coarse aerosol particles during transport. Nevertheless, more direct observational evidence is needed to constrain the importance of this process over the North Pacific.</p>

<table-wrap id="T2" orientation="landscape"><label>Table 2</label><caption><p id="d2e3984">Annual and December–May means of Fe<sub>sol</sub>, mineral-Fe<sub>sol</sub>, anthro-Fe<sub>sol</sub>, and <inline-formula><mml:math id="M347" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in total suspended particles (TSP), coarse aerosol particles, and fine aerosol particles collected in East Asia and the North Pacific. Values are given as mean <inline-formula><mml:math id="M348" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> standard deviation, with the number of samples (<inline-formula><mml:math id="M349" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>) shown in parentheses. Italicized values denote means calculated from 10 or fewer samples (<inline-formula><mml:math id="M350" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula>) and should be interpreted with caution because of their greater uncertainty.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right" colsep="1"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right" colsep="1"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="center"/>
     <oasis:thead>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="1">Variable</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="1">Period</oasis:entry>

         <oasis:entry rowsep="1" namest="col3" nameend="col4" align="center" colsep="1">TSP </oasis:entry>

         <oasis:entry rowsep="1" namest="col5" nameend="col6" align="center" colsep="1">Coarse aerosol particles </oasis:entry>

         <oasis:entry rowsep="1" namest="col7" nameend="col8" align="center">Fine aerosol particles </oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col3">East Asia</oasis:entry>

         <oasis:entry colname="col4">North Pacific</oasis:entry>

         <oasis:entry colname="col5">East Asia</oasis:entry>

         <oasis:entry colname="col6">North Pacific</oasis:entry>

         <oasis:entry colname="col7">East Asia</oasis:entry>

         <oasis:entry colname="col8">North Pacific</oasis:entry>

       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>

         <oasis:entry colname="col1">Fe<sub>sol</sub>%</oasis:entry>

         <oasis:entry colname="col2">Annual</oasis:entry>

         <oasis:entry colname="col3">3.5 <inline-formula><mml:math id="M352" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.2 (<inline-formula><mml:math id="M353" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M354" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 139)</oasis:entry>

         <oasis:entry colname="col4">13.9 <inline-formula><mml:math id="M355" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 14.4 (<inline-formula><mml:math id="M356" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M357" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 155)</oasis:entry>

         <oasis:entry colname="col5">1.0 <inline-formula><mml:math id="M358" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.0 (<inline-formula><mml:math id="M359" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M360" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 110)</oasis:entry>

         <oasis:entry colname="col6">9.2 <inline-formula><mml:math id="M361" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 12.8 (<inline-formula><mml:math id="M362" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M363" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 31)</oasis:entry>

         <oasis:entry colname="col7">21.0 <inline-formula><mml:math id="M364" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 23.6 (<inline-formula><mml:math id="M365" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M366" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 181)</oasis:entry>

         <oasis:entry colname="col8">24.3 <inline-formula><mml:math id="M367" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 24.9 (<inline-formula><mml:math id="M368" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M369" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 47)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2">Dec–May</oasis:entry>

         <oasis:entry colname="col3">2.8 <inline-formula><mml:math id="M370" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.7 (<inline-formula><mml:math id="M371" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M372" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 91)</oasis:entry>

         <oasis:entry colname="col4">10.5 <inline-formula><mml:math id="M373" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6.5 (<inline-formula><mml:math id="M374" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M375" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 73)</oasis:entry>

         <oasis:entry colname="col5">0.8 <inline-formula><mml:math id="M376" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7 (<inline-formula><mml:math id="M377" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M378" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 57)</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M379" display="inline"><mml:mrow><mml:mn mathvariant="italic">6.0</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>±</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="italic">4.6</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M380" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>N</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>=</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="italic">10</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">16.3 <inline-formula><mml:math id="M381" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 19.3 (<inline-formula><mml:math id="M382" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M383" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 86)</oasis:entry>

         <oasis:entry colname="col8">13.1 <inline-formula><mml:math id="M384" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 16.4 (<inline-formula><mml:math id="M385" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M386" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 20)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="1">Mineral-Fe<sub>sol</sub>%</oasis:entry>

         <oasis:entry colname="col2">Annual</oasis:entry>

         <oasis:entry colname="col3">4.7 <inline-formula><mml:math id="M388" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.5 (<inline-formula><mml:math id="M389" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M390" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 137)</oasis:entry>

         <oasis:entry colname="col4">16.3 <inline-formula><mml:math id="M391" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 16.6 (<inline-formula><mml:math id="M392" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M393" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 155)</oasis:entry>

         <oasis:entry colname="col5">2.3 <inline-formula><mml:math id="M394" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.9 (<inline-formula><mml:math id="M395" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M396" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 110)</oasis:entry>

         <oasis:entry colname="col6">8.9 <inline-formula><mml:math id="M397" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 11.0 (<inline-formula><mml:math id="M398" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M399" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 31)</oasis:entry>

         <oasis:entry colname="col7">27.9 <inline-formula><mml:math id="M400" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 28.0 (<inline-formula><mml:math id="M401" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M402" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 181)</oasis:entry>

         <oasis:entry colname="col8">28.5 <inline-formula><mml:math id="M403" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 28.7 (<inline-formula><mml:math id="M404" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M405" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 47)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col2">Dec–May</oasis:entry>

         <oasis:entry colname="col3">3.8 <inline-formula><mml:math id="M406" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.2 (<inline-formula><mml:math id="M407" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M408" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 91)</oasis:entry>

         <oasis:entry colname="col4">13.4 <inline-formula><mml:math id="M409" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10.7 (<inline-formula><mml:math id="M410" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M411" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 73)</oasis:entry>

         <oasis:entry colname="col5">2.8 <inline-formula><mml:math id="M412" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.7 (<inline-formula><mml:math id="M413" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M414" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 57)</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M415" display="inline"><mml:mrow><mml:mn mathvariant="italic">4.8</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>±</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="italic">10.0</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M416" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>N</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>=</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="italic">10</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">22.5 <inline-formula><mml:math id="M417" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 23.4 (<inline-formula><mml:math id="M418" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M419" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 86)</oasis:entry>

         <oasis:entry colname="col8">15.2 <inline-formula><mml:math id="M420" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 18.1 (<inline-formula><mml:math id="M421" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M422" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 20)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1">Anthro-Fe<sub>sol</sub>%</oasis:entry>

         <oasis:entry colname="col2">Annual</oasis:entry>

         <oasis:entry colname="col3">1.7 <inline-formula><mml:math id="M424" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.1 (<inline-formula><mml:math id="M425" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M426" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 91)</oasis:entry>

         <oasis:entry colname="col4">12.1 <inline-formula><mml:math id="M427" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 21.8 (<inline-formula><mml:math id="M428" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M429" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 69)</oasis:entry>

         <oasis:entry colname="col5">0.1 <inline-formula><mml:math id="M430" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 (<inline-formula><mml:math id="M431" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M432" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 45)</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M433" display="inline"><mml:mrow><mml:mn mathvariant="italic">11.3</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>±</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="italic">30.2</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M434" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>N</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>=</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="italic">10</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">16.0 <inline-formula><mml:math id="M435" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 22.4 (<inline-formula><mml:math id="M436" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M437" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 56)</oasis:entry>

         <oasis:entry colname="col8">26.2 <inline-formula><mml:math id="M438" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 32.0 (<inline-formula><mml:math id="M439" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M440" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 23)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2">Dec–May</oasis:entry>

         <oasis:entry colname="col3">1.0 <inline-formula><mml:math id="M441" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.0 (<inline-formula><mml:math id="M442" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M443" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 81)</oasis:entry>

         <oasis:entry colname="col4">5.4 <inline-formula><mml:math id="M444" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8.9 (<inline-formula><mml:math id="M445" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M446" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 44)</oasis:entry>

         <oasis:entry colname="col5">0.1 <inline-formula><mml:math id="M447" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 (<inline-formula><mml:math id="M448" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M449" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 21)</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M450" display="inline"><mml:mrow><mml:mn mathvariant="italic">0.9</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>±</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="italic">3.0</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M451" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>N</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>=</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="italic">3</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">12.3 <inline-formula><mml:math id="M452" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 20.1 (<inline-formula><mml:math id="M453" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M454" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 181)</oasis:entry>

         <oasis:entry colname="col8"><inline-formula><mml:math id="M455" display="inline"><mml:mrow><mml:mn mathvariant="italic">17.4</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>±</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="italic">27.5</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M456" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>N</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>=</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="italic">8</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1">Al<sub>sol</sub>%</oasis:entry>

         <oasis:entry colname="col2">Annual</oasis:entry>

         <oasis:entry colname="col3">2.9 <inline-formula><mml:math id="M458" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.4 (<inline-formula><mml:math id="M459" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M460" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 139)</oasis:entry>

         <oasis:entry colname="col4">10.5 <inline-formula><mml:math id="M461" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9.3 (<inline-formula><mml:math id="M462" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M463" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 155)</oasis:entry>

         <oasis:entry colname="col5">2.2 <inline-formula><mml:math id="M464" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.5 (<inline-formula><mml:math id="M465" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M466" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 110)</oasis:entry>

         <oasis:entry colname="col6">11.8 <inline-formula><mml:math id="M467" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 16.2 (<inline-formula><mml:math id="M468" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M469" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 31)</oasis:entry>

         <oasis:entry colname="col7">16.3 <inline-formula><mml:math id="M470" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 15.0 (<inline-formula><mml:math id="M471" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M472" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 181)</oasis:entry>

         <oasis:entry colname="col8">20.2 <inline-formula><mml:math id="M473" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 17.0 (<inline-formula><mml:math id="M474" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M475" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 47)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2">Dec–May</oasis:entry>

         <oasis:entry colname="col3">2.5 <inline-formula><mml:math id="M476" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.6 (<inline-formula><mml:math id="M477" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M478" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 91)</oasis:entry>

         <oasis:entry colname="col4">8.5 <inline-formula><mml:math id="M479" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.1 (<inline-formula><mml:math id="M480" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M481" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 73)</oasis:entry>

         <oasis:entry colname="col5">1.5 <inline-formula><mml:math id="M482" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.8 (<inline-formula><mml:math id="M483" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M484" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 57)</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M485" display="inline"><mml:mrow><mml:mn mathvariant="italic">11.4</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>±</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="italic">15.3</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M486" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>N</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>=</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="italic">10</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">13.2 <inline-formula><mml:math id="M487" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 11.7 (<inline-formula><mml:math id="M488" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M489" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 86)</oasis:entry>

         <oasis:entry colname="col8">13.5 <inline-formula><mml:math id="M490" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13.1 (<inline-formula><mml:math id="M491" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M492" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 20)</oasis:entry>

       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
</sec>
<sec id="Ch1.S4.SS4">
  <label>4.4</label><title>The Atlantic aerosols</title>
<sec id="Ch1.S4.SS4.SSS1">
  <label>4.4.1</label><title>Spatial and monthly trend of T-Fe and d-Fe concentrations </title>
      <p id="d2e5447">The T-Fe and T-Al concentrations in the Atlantic TSPs ranged from 0.2 to 5650.0 ng m<sup>−3</sup> and from 0.8 to 7485.0 ng m<sup>−3</sup>, respectively. The high concentration of T-Fe was mainly found in the coastal region of the Saharan Desert extending to 20–30° W between 10–20° N (Fig. 9a). T-Fe concentration in the Atlantic TSPs was correlated with T-Al concentration and the slope of its regression line closely matched T-Fe <inline-formula><mml:math id="M495" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratio of mineral dust (<inline-formula><mml:math id="M496" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>: 0.60, Fig. S5a). Indeed, the mean value of EF<sub>T-Fe</sub> was 1.5 <inline-formula><mml:math id="M498" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.7, indicating that mineral dust is the most dominant source of T-Fe in the Atlantic TSPs.</p>
      <p id="d2e5505">Concentrations of d-Fe and d-Al ranged from <inline-formula><mml:math id="M499" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.1 to 212.7 ng m<sup>−3</sup> and from <inline-formula><mml:math id="M501" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.1 to 336.6 ng m<sup>−3,</sup> respectively. In Atlantic TSP, d-Fe concentration was correlated with d-Al concentration, suggesting that the dissolved fractions of these metals were controlled by similar processes (Fig. S5b). In contrast to the spatial distribution of T-Fe, the highest d-Fe concentrations were not observed in the coastal region near the Sahara Desert, but mainly between 20–30° W and 10–20° N (Fig. 9b). This result suggests that, unlike North Pacific aerosols, d-Fe and d-Al concentrations in Atlantic aerosols were not controlled simply by mineral dust loading, as also reflected by the weak correlations of d-Fe with T-Fe and d-Al with T-Al (Fig. S5c and d). The relatively low d-Fe concentrations in the coastal Saharan region likely reflect the dominance of freshly emitted mineral dust with low Fe<sub>sol</sub>%. In contrast, the higher d-Fe concentrations observed around 20–30° W may indicate that mineral dust became more soluble during atmospheric transport through chemical alteration. Indeed, many samples were plotted in area (i), suggesting that mineral dust was solubilized through proton-promoted dissolution during atmospheric transport (Fig. S4b). Atlantic aerosols showed a relatively large number of samples in area (v), where the influence of fly ash derived from high-temperature combustion is generally expected to be significant, compared with the other oceanic regions (Fig. S4b). Considering that Saharan dust often exhibits [d-Fe] <inline-formula><mml:math id="M504" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratios below 0.10, the samples plotted in area (v) likely reflect the contribution of Saharan dust with low [d-Fe] <inline-formula><mml:math id="M505" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratios, rather than fly ash derived from high-temperature combustion. This interpretation is consistent with the near absence of samples in the area characterized by high-temperature combustion-derived EF<sub>T-Fe</sub> and anthro-Fe with high [d-Fe] <inline-formula><mml:math id="M507" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratios. By contrast, aerosols with high EF<sub>T-Fe</sub> were mainly plotted in area (iii), indicating that anthro-Fe over the Atlantic was likely present mainly as insoluble Fe.</p>

      <fig id="F9" specific-use="star"><label>Figure 9</label><caption><p id="d2e5599">Spatial distributions of <bold>(a)</bold> T-Fe concentration, <bold>(b)</bold> d-Fe concentration, <bold>(c)</bold> Fe<sub>sol</sub>%, and <bold>(d)</bold> <inline-formula><mml:math id="M510" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in the Atlantic aerosols. The figure was described using Ocean Data View (Schlitzer, 2025).</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f09.png"/>

          </fig>

      <p id="d2e5642">Unfortunately, Atlantic TSP samples collected from February to April are not available in this dataset. However, shipboard observations showed that T-Fe and T-Al concentrations were clearly higher in December–February than in June–August (Fig. 10a). Considering the spatial variability in the sampling locations, the high concentrations observed in December–February likely mainly reflect the influence of the region offshore of the Sahara Desert. Indeed, similar seasonal variations in T-Fe concentrations have also been reported from ground-based observations at Cape Verde, located offshore of the Sahara Desert (Carpenter et al., 2010; Fomba et al., 2013; Patey et al., 2015). In contrast, satellite observations of DAOD over the same latitudinal region indicate a June–August peak, which is also consistent with the seasonal variability of dust deposition fluxes recorded by sediment traps in seawater (Yu et al., 2019; van der Does et al., 2021). This discrepancy is most likely explained by seasonal differences in the transport altitude of Saharan dust. During June–August, the northward shift of the Intertropical Convergence Zone (ITCZ) leads to the convergence of moist air from the south and dry air from the north between 15  and 22° N, forming the Saharan Air Layer (SAL), which lifts mineral dust to altitudes of 5–7 km and transports it westward over the Atlantic Ocean (Adams et al., 2012; Muhs, 2013). In December to May, mineral dust is transported mainly in the lower troposphere and is therefore readily captured by shipboard and ground-based observations. As a result, DAOD and wet deposition to the ocean are enhanced in June–August, whereas the signal in near-surface observations becomes weaker (van der Does et al., 2021). Therefore, in the Atlantic Ocean, particularly in regions offshore of the Sahara, it may be difficult to comprehensively understand aerosol Fe supply processes based solely on shipboard and ground-based observations.</p>

      <fig id="F10" specific-use="star"><label>Figure 10</label><caption><p id="d2e5647">Monthly variations of <bold>(a)</bold> T-Fe and T-Al concentrations, <bold>(b)</bold> d-Fe and d-Al concentrations, <bold>(c)</bold> Fe<sub>sol</sub>%, mineral-Fe<sub>sol</sub>%, and anthro-Fe<sub>sol</sub>%, and <bold>(d)</bold> <inline-formula><mml:math id="M514" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>mineral-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M515" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in the Atlantic aerosols.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f10.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS4.SSS2">
  <label>4.4.2</label><title>The impact of anthro-Fe on Fe<sub>sol</sub>%</title>
      <p id="d2e5736">The annual mean Fe<sub>sol</sub>% of Atlantic TSPs was 6.2 <inline-formula><mml:math id="M518" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6.8 % (range: 0.1 %–50.8 %), and Fe<sub>sol</sub>% tended to be higher in June–August (Fig. 10c). High Fe<sub>sol</sub>% values (<inline-formula><mml:math id="M521" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 10 %) were predominantly observed in the coastal regions of Europe and North America (Fig. 9c). Previous studies have reported negative Fe isotope signatures attributable to combustion-derived anthro-Fe in these regions (Conway et al., 2019). However, comparison of Fig. 9c and d shows that the locations of high Fe<sub>sol</sub>% do not necessarily coincide with those of elevated <inline-formula><mml:math id="M523" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, suggesting that combustion-derived anthro-Fe is not a primary driver of the spatial variability in Fe<sub>sol</sub>% over the Atlantic.</p>
      <p id="d2e5810">This interpretation is further supported by the source apportionment results for anthro-Fe. Most anthro-Fe in Atlantic aerosol samples was distributed below the boundary line separating non-combusted and combusted anthro-Fe, with a mean anthro-Fe<sub>sol</sub>% of 1.0 <inline-formula><mml:math id="M526" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.7 % (Fig. 11a). This indicates that anthro-Fe in Atlantic aerosols was dominated primarily by non-combustion-derived, low-solubility Fe. In contrast, samples influenced by relatively soluble combustion-derived anthro-Fe, represented by those plotted above the boundary line (mean anthro-Fe<sub>sol</sub>%: 14.5 <inline-formula><mml:math id="M528" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 22.2 %), were less common than samples influenced by non-combustion-derived anthro-Fe (Fig. 11a). A similar pattern was observed in both coarse and fine aerosol particles (Fig. 11b and c). These results suggest that anthro-Fe contributed little to the direct increase in d-Fe or to the enhancement of bulk Fe<sub>sol</sub>%. Therefore, the seasonal and spatial variability of Fe<sub>sol</sub>% in Atlantic aerosols was more likely controlled by the aging state of mineral dust than by anthro-Fe input.</p>

      <fig id="F11" specific-use="star"><label>Figure 11</label><caption><p id="d2e5866">The inverse relationship of T-Fe, mineral-Fe, and anthro-Fe with their respective concentrations in <bold>(a)</bold> TSP, <bold>(b)</bold> coarse aerosol particles, and <bold>(c)</bold> fine aerosol particles collected in the Atlantic. Brown dashed lines indicate the power-law fits for mineral-Fe<sub>sol</sub>%, whereas black dashed lines denote the boundaries separating combusted and non-combusted anthro-Fe.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f11.png"/>

          </fig>


</sec>
<sec id="Ch1.S4.SS4.SSS3">
  <label>4.4.3</label><title>The impact of chemical alteration on Fe<sub>sol</sub>%</title>
      <p id="d2e5913">The monthly average Fe<sub>sol</sub>% of Atlantic aerosols tended to be higher in June–August than in other seasons (Fig. 10c). The same trend was found in the latitude band most affected by the Sahara Desert (Equator to 30° N). The East Asian region shows comparable seasonal variability in Fe<sub>sol</sub>% (Fig. 4a–c), which has been attributed primarily to the temperature dependence of aerosol pH (Tao and Murphy, 2019b; Zhang et al., 2023; Yang and Weber, 2022). In contrast, the Sahara-affected latitude band (Equator to 30° N) experiences relatively minor annual temperature effects, suggesting that other factors contribute to the observed seasonal variability of Fe<sub>sol</sub>%.</p>
      <p id="d2e5943">A likely explanation is the seasonal difference in the transport altitude and atmospheric processing of Saharan dust. In December–February, mineral dust is transported mainly below 3 km. Because there are no heavily polluted regions between the Sahara Desert and the Atlantic Ocean, the dust is not strongly aged by atmospheric pollutants such as sulfate and nitrate (Fitzgerald et al., 2015). Furthermore, relatively low precipitation in December–February likely suppresses wet deposition and chemical alteration in cloud water. Consequently, Atlantic aerosol samples collected near the surface in December–February exhibited higher Fe concentrations but lower Fe<sub>sol</sub>%. During June–August, by contrast, mineral dust is predominantly transported above 3 km, where precipitation is higher. In particular, the increase in precipitation from August to October (Varela-Lopes and Molion, 2014) likely promotes the incorporation of mineral dust into cloud water, where aqueous-phase reactions driven by proton-promoted and ligand-promoted dissolution may enhance Fe<sub>sol</sub>%. However, under the moderately acidic conditions of Atlantic cloud water (pH <inline-formula><mml:math id="M538" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 4.0; Shah et al., 2020), Fe dissolution is not expected to be as substantial as in more acidic regions, even in the presence of organic ligands (Bibi et al., 2011; Paris et al., 2011; Paris and Desboeufs, 2013; Bray et al., 2015). Observations using aerosol time-of-flight mass spectrometry also confirmed that mineral dust over the Atlantic undergoes chemical alteration by oxalate in cloud water (Fitzgerald et al., 2015). Thus, June–August cloud-water processing likely enhances Fe<sub>sol</sub>% in Atlantic aerosols, but not to the extent observed in the North Pacific, where aerosol acidity is often much stronger, as reflected by the lower mean Fe<sub>sol</sub>% of Atlantic aerosols (5.9 %) than of North Pacific aerosols (15.1 %).</p>

      <fig id="F12" specific-use="star"><label>Figure 12</label><caption><p id="d2e5991">Spatial distribution of <bold>(a)</bold> T-Fe concentration, <bold>(b)</bold> d-Fe concentration, <bold>(c)</bold> Fe<sub>sol</sub>%, and <bold>(d)</bold> <inline-formula><mml:math id="M542" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in the South Pacific aerosols. The figure was described using Ocean Data View (Schlitzer, 2025).</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/13505/2026/acp-26-13505-2026-f12.png"/>

          </fig>

</sec>
</sec>
<sec id="Ch1.S4.SS5">
  <label>4.5</label><title>The South Pacific Ocean</title>
      <p id="d2e6043">The T-Fe and T-Al concentrations in South Pacific TSPs ranged from 0.1 to 129.8 ng m<sup>−3</sup> and 0.2 to 207.2 ng m<sup>−3</sup>, respectively, with the highest values observed in coastal regions (Fig. 12a). T-Fe was strongly correlated with T-Al (slope <inline-formula><mml:math id="M545" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.92), and the mean EF<sub>T-Fe</sub> was 1.9 <inline-formula><mml:math id="M547" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.4 (range: 0.1–7.6). The EF<sub>T-Fe</sub> in the South Pacific TSPs was slightly higher than in North Pacific and Atlantic TSPs but still close to unity. EF<sub>T-Fe</sub> tended to be elevated in the marine area southwest of Australia, especially around Heard Island (Fig. S6), likely reflecting the influence of volcanic bedrock on the island (Perron et al., 2021). Overall, however, T-Fe in South Pacific TSPs was derived mainly from mineral dust.</p>
      <p id="d2e6112">The concentrations of d-Fe and d-Al ranged from <inline-formula><mml:math id="M550" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.1 to 8.3 ng m<sup>−3</sup> and <inline-formula><mml:math id="M552" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.1 to 12.6 ng m<sup>−3</sup>, respectively, and showed a strong correlation (<inline-formula><mml:math id="M554" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.77</mml:mn></mml:mrow></mml:math></inline-formula>). Fe<sub>sol</sub>% ranged from <inline-formula><mml:math id="M556" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.1 % to 100 % (mean: 8.5 <inline-formula><mml:math id="M557" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>  12.5 %); excluding one sample with Fe<sub>sol</sub>% of 100 %, the maximum was 41.9 % and the mean was 7.3 <inline-formula><mml:math id="M559" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6.4 %. The mean [d-Fe] <inline-formula><mml:math id="M560" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio in South Pacific TSPs was 0.73 <inline-formula><mml:math id="M561" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.30, higher than those in North Pacific and Atlantic TSPs (0.39 <inline-formula><mml:math id="M562" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.29 and 0.25 <inline-formula><mml:math id="M563" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.48, respectively). High <inline-formula><mml:math id="M564" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values, characterized by elevated [d-Fe] <inline-formula><mml:math id="M565" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al], were mainly detected near Heard Island, where EF<sub>T-Fe</sub> was also high (Fig. S5). Given the basaltic volcanic rocks on Heard Island, this enrichment is more plausibly explained by volcanic source composition than by enhanced anthropogenic input (Perron et al., 2021).</p>
      <p id="d2e6261">TSP samples with Fe<sub>sol</sub>% exceeding 10 % were mainly observed along the Australian coast (Fig. 12c). Previous studies reported that elevated Fe<sub>sol</sub>% on the southeastern coast reflects anthro-Fe from urban areas together with aerosol acidification driven by anthropogenic SO<sub>2</sub> and NO<sub><italic>x</italic></sub> (Perron et al., 2020a). Consistent with this interpretation, our [d-Fe] <inline-formula><mml:math id="M571" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] analysis suggests that up to <inline-formula><mml:math id="M572" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 % of d-Fe in this region was derived from anthro-Fe. In northern and northeastern Australia, high Fe<sub>sol</sub>% has also been linked to biomass burning (Perron et al., 2020a). However, previous studies suggest that Fe associated with biomass burning mainly reflects resuspended dry soil rather than direct Fe emission (Andreae et al., 2001; Kurisu and Takahashi, 2019), and observations at Gun Point indicate that the elevated Fe<sub>sol</sub>% is driven not by direct d-Fe emission but by chemical interactions between Fe and organic matter emitted during fires (Winton et al., 2016). Consistent with this, TSP samples from northeastern Australia showed [d-Fe] <inline-formula><mml:math id="M575" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratios above 1.0 despite EF<sub>T-Fe</sub> values below 2.0 (Fig. S4), a pattern consistent with ligand-promoted dissolution of mineral dust. High <inline-formula><mml:math id="M577" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values were also observed in southeastern Australia (Fig. 12d), where volcanic rocks with high T-Fe <inline-formula><mml:math id="M578" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> T-Al ratios have been reported. This suggests that the elevated [d-Fe] <inline-formula><mml:math id="M579" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio in this region may likewise reflect source-composition effects rather than anthropogenic input, although further investigation is needed.</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Implications</title>
      <p id="d2e6385">The factors controlling Fe<sub>sol</sub>% in aerosol particles were investigated by compiling data for total and dissolved Fe and Al in aerosol particles. An inverse relationship between total Fe and Fe<sub>sol</sub>% was observed, as has been reported in previous studies (Sholkovitz et al., 2009; Mahowald et al., 2018). When similar plots were constructed separately for mineral-Fe and anthro-Fe, inverse relationships between concentration and solubility were found for both components. The inverse relationship for mineral-Fe is likely explained by chemical alteration during atmospheric transport, because freshly emitted or unaged mineral particles generally have low Fe<sub>sol</sub>%. In contrast, the anthro-Fe results indicated more diverse behavior. In samples with comparable anthro-Fe and mineral-Fe concentrations, two major groups were identified: one in which anthro-Fe<sub>sol</sub>% was lower than mineral-Fe<sub>sol</sub>%, and another in which anthro-Fe<sub>sol</sub>% was comparable to mineral-Fe<sub>sol</sub>%. The former group was mainly found in coarse aerosol particles collected in East Asia and showed extremely low anthro-Fe<sub>sol</sub>% (<inline-formula><mml:math id="M588" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 0.1 %), suggesting contributions from brake-pad wear from vehicles and related sources. The latter group was mainly found in fine aerosol particles and showed a high average anthro-Fe<sub>sol</sub>% of 22.2 <inline-formula><mml:math id="M590" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 24.0 %. Although anthro-Fe in fine particles is generally associated with high-temperature combustion processes, only a limited number of samples had anthro-Fe<sub>sol</sub>% higher than that reported for highly soluble emissions such as heavy oil combustion (<inline-formula><mml:math id="M592" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 37.0 %). This suggests that a part of the anthro-Fe emitted with initially low solubility from solid fuel combustion, including coal combustion and the steel industry, was solubilized during atmospheric transport. Similar inverse relationships between concentrations and solubilities for mineral-Fe and anthro-Fe were also observed in marine aerosol particles. Therefore, inverse-correlation plots for mineral-Fe and anthro-Fe may provide a useful approach for evaluating source-dependent variations in Fe<sub>sol</sub>% and for distinguishing anthro-Fe derived from high-temperature combustion from that derived from non-high-temperature combustion sources.</p>
      <p id="d2e6510">This study also estimated <inline-formula><mml:math id="M594" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in marine aerosol particles based on the [d-Fe] <inline-formula><mml:math id="M595" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio. As a result, the contribution of anthro-Fe to d-Fe in the marine TSP samples was not large (North Pacific: 6.1 <inline-formula><mml:math id="M596" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10.4, Atlantic: 5.1 <inline-formula><mml:math id="M597" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9.7 %). Although high <inline-formula><mml:math id="M598" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> was occasionally found in North Pacific TSPs influenced by ship emissions, <inline-formula><mml:math id="M599" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in the open ocean was lower than coastal regions. Complementing our findings, Fe isotope analysis of d-Fe in marine aerosols consistently indicates large and small anthropogenic contributions to d-Fe in coastal and in the open oceans, respectively (Labatut et al., 2014; Conway et al., 2019; Kurisu et al., 2021, 2024). In contrast to these observational results, modeling studies have indicated substantial anthropogenic contributions to d-Fe, with <inline-formula><mml:math id="M600" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> exceeding 20 % (Scanza et al., 2018; Hamilton et al., 2019; Rathod et al., 2020, 2024; Ito et al., 2021; Ito and Miyakawa, 2023). The discrepancy in <inline-formula><mml:math id="M601" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> between models and observations may be partly explained by the lower mineral-Fe<sub>sol</sub>% represented in the models compared with values derived from field observations. Representative model calculations generally predict mineral-Fesol% of less than 10 % for fine aerosol particles over the North Pacific. In contrast, mineral-Fe<sub>sol</sub>% in fine aerosol particles frequently exceeded 10 % in this study, with mean values of 28.5 <inline-formula><mml:math id="M604" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 28.7 % in the North Pacific and 11.3 <inline-formula><mml:math id="M605" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 16.7 % in the Atlantic. Thus, underestimation of mineral-Fe<sub>sol</sub>% in fine particles may lead to an underestimation of mineral-derived d-Fe and, consequently, an overestimation of the relative contribution of anthro-Fe to total d-Fe. Incorporating a size-dependent scheme capable of representing higher mineral-Fe<sub>sol</sub>% in fine particles may therefore improve the representation of atmospheric Fe supply to the surface ocean and its source apportionment in Earth system models.</p>
      <p id="d2e6641">To better understand the sources of d-Fe in marine aerosols and their chemical alteration processes, observational studies, focusing on the [d-Fe] <inline-formula><mml:math id="M608" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] ratio and Fe isotope ratios, are essential. These studies help us grasp the factors influencing <inline-formula><mml:math id="M609" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M610" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>mineral-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, mineral-Fe<sub>sol</sub>%, and anthro-Fe<sub>sol</sub>% variability. While representative values for mineral dust are established for both [d-Fe] <inline-formula><mml:math id="M613" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] and Fe isotope ratios, large uncertainties persist regarding representative values for anthro-Fe and the variability among different emission sources. Constructing a robust database of [d-Fe] <inline-formula><mml:math id="M614" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] and Fe isotope ratios for individual anthropogenic emission sources (e.g., coal combustion, steel industry, biomass burning, and non-combusted anthro-Fe) is crucial because the representative values of [d-Fe] <inline-formula><mml:math id="M615" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> [d-Al] and Fe isotope ratios for anthro-Fe affect the calculation results of <inline-formula><mml:math id="M616" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>mineral-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M617" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mtext>anthro-dFe</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>.</p>
</sec>

      
      </body>
    <back><notes notes-type="codedataavailability"><title>Code and data availability</title>

      <p id="d2e6739">The data set is available at: <ext-link xlink:href="https://doi.org/10.5281/zenodo.22703287" ext-link-type="DOI">10.5281/zenodo.22703287</ext-link> (Sakata et al., 2026).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d2e6745">The supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-26-13505-2026-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-26-13505-2026-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e6754">KS and YT designed this study. KS and MK compiled dataset using this study. KS developed the model and performed the simulations. KS prepared the manuscript with contributions from all co-authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e6760">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e6766">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. The authors bear the ultimate responsibility for providing appropriate place names. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d2e6772">This article is part of the special issue “RUSTED: Reducing Uncertainty in Soluble aerosol Trace Element Deposition (AMT/ACP/AR/BG inter-journal SI)”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e6778">The International GEOTRACES program is possible in part thanks to the support from the U.S. National Science Foundation (grant OCE-2140395) to the Scientific Committee on Oceanic Research (SCOR). This paper also contributes to the science plan of the Surface Ocean-Lower Atmosphere Study (SOLAS), which is partially supported by the U.S. National Science Foundation (grant OCE-1840868) via the Scientific Committee on Oceanic Research (SCOR).</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e6784">Kohei Sakata acknowledges funding support from Cooperative Research Program of the Institute of Nature and Environmental Technology, Kanazawa University (proposal no. 19002). Minako Kurisu acknowledges funding support from JSPS KAKENHI (grant nos. 21K17886 and 24K20927). Yoshio Takahashi also acknowledges funding support from JSPS KAKENHI (grant nos. 26H00438 and 26K21720).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e6791">This paper was edited by Mingjin Tang and reviewed by Clifton Buck and one anonymous referee.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>Adams, A. M., Prospero, J. M., and Zhang, C.: CALIPSO-derived three-dimensional structure of aerosol over the Atlantic basin and adjacent continents, J. Climate, 25, 6862–6879, <ext-link xlink:href="https://doi.org/10.1175/JCLI-D-11-00672.1" ext-link-type="DOI">10.1175/JCLI-D-11-00672.1</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>Andreae, M. O., Fischer, A. H., Freitas, S. R., Grégoire, J. M., Hoor, H. P., Kormann, R., Krejci, R., Lange, L., Lelieveld, J., Lindinger, W., Longo, K., Peters, W., de Reus, M., Scheeren, B., Silva, M. A. F., Ström, J., van Velthoven, P. F. J., and Williams, J.: Transport of biomass burning smoke to the upper troposphere by deep convection in the equatorial region, Geophys. Res. Lett., 28, 951–954, <ext-link xlink:href="https://doi.org/10.1029/2000GL012391" ext-link-type="DOI">10.1029/2000GL012391</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>Baker, A. R. and Croot, P. L.: Atmospheric and marine controls on aerosol iron solubility in seawater, Mar. Chem., 120, 4–13, <ext-link xlink:href="https://doi.org/10.1016/j.marchem.2008.09.003" ext-link-type="DOI">10.1016/j.marchem.2008.09.003</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>Baker, A. R., French, M., and Linge, K. L.: Trends in aerosol nutrient solubility along a west–east transect of the Saharan dust plume, Geophys. Res. Lett., 33, L07805, <ext-link xlink:href="https://doi.org/10.1029/2005GL024764" ext-link-type="DOI">10.1029/2005GL024764</ext-link>, 2006a.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>Baker, A. R., Jickells, T. D., Witt, M., and Linge, K. L.: Trends in the solubility of iron, aluminium, manganese and phosphorus in aerosol collected over the Atlantic Ocean, Mar. Chem., 98, 43–58, <ext-link xlink:href="https://doi.org/10.1016/j.marchem.2005.06.004" ext-link-type="DOI">10.1016/j.marchem.2005.06.004</ext-link>, 2006b.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>Baker, A. R., Adams, C., Bell, T. G., Jickells, T. D., and Ganzeveld, L.: Estimation of atmospheric nutrient inputs to the Atlantic Ocean from 50° N to 50° S based on large-scale field sampling: Iron and other dust-associated elements, Global Biogeochem. Cy., 27, 755–767, <ext-link xlink:href="https://doi.org/10.1002/gbc.20062" ext-link-type="DOI">10.1002/gbc.20062</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>Baker, A. R., Li, M., and Chance, R.: Trace metal fractional solubility in size-segregated aerosols from the tropical eastern Atlantic Ocean, Global Biogeochem. Cy., 34, e2019GB006510, <ext-link xlink:href="https://doi.org/10.1029/2019GB006510" ext-link-type="DOI">10.1029/2019GB006510</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>Baker, A. R., Kanakidou, M., Nenes, A., Myriokefalitakis, S., Croot, P. L., Duce, R. A., Gao, Y., Guieu, C., Ito, A., Jickells, T. D., Mahowald, N. M., Middag, R., Perron, M. M. G., Sarin, M. M., Shelley, R., and Turner, D. R.: Changing atmospheric acidity as a modulator of nutrient deposition and ocean biogeochemistry, Sci. Adv., 7, eabd8800, <ext-link xlink:href="https://doi.org/10.1126/sciadv.abd8800" ext-link-type="DOI">10.1126/sciadv.abd8800</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>Bibi, I., Singh, B., and Silvester, E.: Dissolution of illite in saline–acidic solutions at 25 °C, Geochim. Cosmochim. Ac., 75, 3237–3249, <ext-link xlink:href="https://doi.org/10.1016/j.gca.2011.03.022" ext-link-type="DOI">10.1016/j.gca.2011.03.022</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>Boyd, P. W., Jickells, T., Law, C. S., Blain, S., Boyle, E. A., and Buesseler, K. O.: Mesoscale iron enrichment experiments 1993–2005: Synthesis, and future directions, Science, 315, 612–617, <ext-link xlink:href="https://doi.org/10.1126/science.1131669" ext-link-type="DOI">10.1126/science.1131669</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>Bray, A. W., Oelkers, E. H., Bonneville, S., Wolff-Boenisch, D., Potts, N. J., Fones, G., and Benning, L. G.: The effect of pH, grain size, and organic ligands on biotite weathering rates, Geochim. Cosmochim. Ac., 164, 127–145, <ext-link xlink:href="https://doi.org/10.1016/j.gca.2015.04.048" ext-link-type="DOI">10.1016/j.gca.2015.04.048</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>Buck, C. S. and Paytan, A.: Evaluation of commonly used filter substates for the measurement of aerosol trace element solubility, Limnol. Oceanogr. Meth., 10, 790–806, <ext-link xlink:href="https://doi.org/10.4319/lom.2012.10.790" ext-link-type="DOI">10.4319/lom.2012.10.790</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>Buck, C. S., Landing, W. M., Resing, J. A., and Lebon, G. T.: Aerosol iron and aluminum solubility in the northwest Pacific Ocean: Results from the 2002 IOC cruise, Geochem. Geophy. Geosy., 7, Q04M07, <ext-link xlink:href="https://doi.org/10.1029/2005GC000977" ext-link-type="DOI">10.1029/2005GC000977</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>Buck, C. S., Landing, W. M., Resing, J. A., and Measures, C. I.: The solubility and deposition of aerosol Fe and other trace elements in the North Atlantic Ocean: Observations from the A16N CLIVAR/CO2 repeat hydrography section, Mar. Chem., 120, 57–70, <ext-link xlink:href="https://doi.org/10.1016/j.marchem.2008.08.003" ext-link-type="DOI">10.1016/j.marchem.2008.08.003</ext-link>, 2010a.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>Buck, C. S., Landing, W. M., and Resing, J. A.: Particle size and aerosol iron solubility: A high-resolution analysis of Atlantic aerosols, Mar. Chem., 120, 14–24, <ext-link xlink:href="https://doi.org/10.1016/j.marchem.2008.11.002" ext-link-type="DOI">10.1016/j.marchem.2008.11.002</ext-link>, 2010b.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>Buck, C. S., Landing, W. M., and Resing, J. A.: Pacific Ocean aerosols: Deposition and solubility of iron, aluminum, and other trace elements, Mar. Chem., 157, 117–130, <ext-link xlink:href="https://doi.org/10.1016/j.marchem.2013.09.005" ext-link-type="DOI">10.1016/j.marchem.2013.09.005</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>Buck, C. S., Aguilar-Islas, A., Marsay, C., Kadko, D., and Landing, W. M.: Trace element concentrations, elemental ratios, and enrichment factors observed in aerosol samples collected during the US GEOTRACES eastern Pacific Ocean transect (GP16), Chem. Geol., 511, 212–224, <ext-link xlink:href="https://doi.org/10.1016/j.chemgeo.2019.01.002" ext-link-type="DOI">10.1016/j.chemgeo.2019.01.002</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>Carpenter, L. J., Fleming, Z. L., Read, K. A., Lee, J. D., Moller, S. J., Hopkins, J. R., Purvis, R. M., Lewis, A. C., Müller, K., Heinold, B., Herrmann, H., Fomba, K. W., van Pinxteren, D., Müller, C., Tegen, I., Wiedensohler, A., Müller, T., Niedermeier, N., Achterberg, E. P., Patey, M. D., Kozlova, E. A., Manning, A. J., and Wallace, D. W. R.: Seasonal characteristics of tropical marine boundary layer air measured at the Cape Verde Atmospheric Observatory, J. Atmos. Chem., 67, 87–140, <ext-link xlink:href="https://doi.org/10.1007/s10874-011-9206-1" ext-link-type="DOI">10.1007/s10874-011-9206-1</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>Chance, R., Jickells, T. D., and Baker, A. R.: Atmospheric trace metal concentrations, solubility and deposition fluxes in remote marine air over the south-east Atlantic, Mar. Chem., 177, 45–56, <ext-link xlink:href="https://doi.org/10.1016/j.marchem.2015.06.028" ext-link-type="DOI">10.1016/j.marchem.2015.06.028</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation>Chang, C. Y., Wang, C. F., Mui, D. T., and Chiang, H. L.: Application of methods (sequential extraction procedures and high-pressure digestion method) to fly ash particles to determine the element constituents: A case study for BCR-176, J. Hazard. Mater., 163, 578–587, <ext-link xlink:href="https://doi.org/10.1016/j.jhazmat.2008.07.039" ext-link-type="DOI">10.1016/j.jhazmat.2008.07.039</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation>Chao, T. T. and Sanzolone, R. F.: Decomposition techniques, J. Geochem. Explor., 44, 65–106, <ext-link xlink:href="https://doi.org/10.1016/0375-6742(92)90048-D" ext-link-type="DOI">10.1016/0375-6742(92)90048-D</ext-link>, 1992.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation>Charlson, R. J., Lovelock, J. E., Andreae, M. O., and Warren, S. G.: Oceanic phytoplankton, atmospheric sulphur, cloud albedo and climate, Nature, 326, 655–661, <ext-link xlink:href="https://doi.org/10.1038/326655a0" ext-link-type="DOI">10.1038/326655a0</ext-link>, 1987.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation>Cheize, M., Sarthou, G., Croot, P. L., Bucciarelli, E., Baudoux, A. C., and Baker, A. R.: Iron organic speciation determination in rainwater using cathodic stripping voltammetry, Anal. Chim. Acta, 736, <ext-link xlink:href="https://doi.org/10.1016/j.aca.2012.05.011" ext-link-type="DOI">10.1016/j.aca.2012.05.011</ext-link>, 45–54, 2012.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation>Chen, Y. Z., Zhang, T. Y., Wang, Z. Y., Zhu, Z. M., Zhang, Y. F., Liu, M. Y., Wang, F., Ren, Y., Shi, G. L., Zhang, G. H., Wang, X. M., and Tang, M. J.: Sources of total and dissolved aerosol iron at Xi'an, Northwest China: implications for solubility of aerosol iron from different sources, J. Environ. Sci., 165, 29–37, <ext-link xlink:href="https://doi.org/10.1016/j.jes.2025.06.066" ext-link-type="DOI">10.1016/j.jes.2025.06.066</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><mixed-citation>Clough, R., Lohan, M. C., Ussher, S. J., Nimmo, M., and Worsfold, P. J.: Uncertainty associated with the leaching of aerosol filters for the determination of metals in aerosol particulate matter using collision/reaction cell ICP-MS detection, Talanta, 208, 120377, <ext-link xlink:href="https://doi.org/10.1016/j.talanta.2019.02.067" ext-link-type="DOI">10.1016/j.talanta.2019.02.067</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><mixed-citation>Conway, T. M., Hamiliton, D. S., Shelley, R. U., Aguilar-Islas, A. M., Landing, W. M., Mahowald, N. M., and John, S. G.: Tracing and constraining anthropogenic aerosol iron fluxes to the North Atlantic Ocean using iron isotopes, Nat. Commun., 10, 2628, <ext-link xlink:href="https://doi.org/10.1038/s41467-019-10457-w" ext-link-type="DOI">10.1038/s41467-019-10457-w</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><mixed-citation>Cui, W., Song, X., Su, Y., Chen, X., Wu, D., and Li, Q.: Soluble iron in source-based anthropogenic PM<sub>2.5</sub> predominantly from steel industry and residential combustion in China, Geophys. Res. Lett., 52, e2025GL118603, <ext-link xlink:href="https://doi.org/10.1029/2025GL118603" ext-link-type="DOI">10.1029/2025GL118603</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><mixed-citation>Desboeufs, K. V., Losno, R., and Colin, J. L.: Factors influencing aerosol solubility during cloud processes, Atmos. Environ., 35, 3529–3537, <ext-link xlink:href="https://doi.org/10.1016/S1352-2310(00)00472-6" ext-link-type="DOI">10.1016/S1352-2310(00)00472-6</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><mixed-citation>Desboeufs, K., Formenti, P., Torres-Sánchez, R., Schepanski, K., Chaboureau, J.-P., Andersen, H., Cermak, J., Feuerstein, S., Laurent, B., Klopper, D., Namwoonde, A., Cazaunau, M., Chevaillier, S., Feron, A., Mirande-Bret, C., Triquet, S., and Piketh, S. J.: Fractional solubility of iron in mineral dust aerosols over coastal Namibia: a link to marine biogenic emissions?, Atmos. Chem. Phys., 24, 1525–1541, <ext-link xlink:href="https://doi.org/10.5194/acp-24-1525-2024" ext-link-type="DOI">10.5194/acp-24-1525-2024</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><mixed-citation>Duvall, R. M., Majestic, B. J., Shafer, M. M., Chuang, P. Y., Simoneit, B. R. T., and Schauer, J. J.: The water-soluble fraction of carbon, sulfur, and crustal elements in Asian aerosols and Asian soils, Atmos. Environ., 42, 5872–5884, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2008.03.028" ext-link-type="DOI">10.1016/j.atmosenv.2008.03.028</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><mixed-citation>Fairlie, T. D., Jacob, D. J., Dibb, J. E., Alexander, B., Avery, M. A., van Donkelaar, A., and Zhang, L.: Impact of mineral dust on nitrate, sulfate, and ozone in transpacific Asian pollution plumes, Atmos. Chem. Phys., 10, 3999–4012, <ext-link xlink:href="https://doi.org/10.5194/acp-10-3999-2010" ext-link-type="DOI">10.5194/acp-10-3999-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><mixed-citation>Fitzgerald, E., Ault, A. P., Zauscher, M. D., Mayol-Bracero, O. L., and Prather, K. A.: Comparison of the mixing state of long-range transported Asian and African mineral dust, Atmos. Environ., 115, 19–25, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2015.04.031" ext-link-type="DOI">10.1016/j.atmosenv.2015.04.031</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><mixed-citation>Fomba, K. W., Müller, K., van Pinxteren, D., and Herrmann, H.: Aerosol size-resolved trace metal composition in remote northern tropical Atlantic marine environment: case study Cape Verde islands, Atmos. Chem. Phys., 13, 4801–4814, <ext-link xlink:href="https://doi.org/10.5194/acp-13-4801-2013" ext-link-type="DOI">10.5194/acp-13-4801-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><mixed-citation>Gitari, W. M., Fatoba, O. O., Petrik, L. F., and Vadapalli, V. R. K.: Leaching characteristics of selected south African fly ashes: Effect of pH on the release of major and trace species, J. Environ. Sci. Hlth. A, 44, 206–220, <ext-link xlink:href="https://doi.org/10.1080/10934520802539897" ext-link-type="DOI">10.1080/10934520802539897</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><mixed-citation>Guo, H., Sullivan, A. P., Campuzano-Jost, P., Schroder, J. C., Lopez-Hilfiker, F. D., Dibb, J. E., Jimenez, J. L., Thornton, J. A., Brown, S. S., Nenes, A., and Weber, R. J.: Fine particle pH and the partitioning of nitric acid during winter in the northeastern United States, J. Geophys. Res.-Atmos., 121, 10355–10376, <ext-link xlink:href="https://doi.org/10.1002/2016JD025311" ext-link-type="DOI">10.1002/2016JD025311</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><mixed-citation>Guo, H., Nenes, A., and Weber, R. J.: The underappreciated role of nonvolatile cations in aerosol ammonium-sulfate molar ratios, Atmos. Chem. Phys., 18, 17307–17323, <ext-link xlink:href="https://doi.org/10.5194/acp-18-17307-2018" ext-link-type="DOI">10.5194/acp-18-17307-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><mixed-citation>Halle, L. L., Palmqvist, A., Kampmann, K., Jensen, A., Hansen, T., and Khan, F. R.: Tire wear particle and leachate exposures from a pristine and road-worn tire to Hyalella azteca: Comparison of chemical content and biological effects, Aquat. Toxicol., 232, 105769, <ext-link xlink:href="https://doi.org/10.1016/j.aquatox.2021.105769" ext-link-type="DOI">10.1016/j.aquatox.2021.105769</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><mixed-citation>Hamilton, D. S., Scanza, R. A., Feng, Y., Guinness, J., Kok, J. F., Li, L., Liu, X., Rathod, S. D., Wan, J. S., Wu, M., and Mahowald, N. M.: Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0), Geosci. Model Dev., 12, 3835–3862, <ext-link xlink:href="https://doi.org/10.5194/gmd-12-3835-2019" ext-link-type="DOI">10.5194/gmd-12-3835-2019</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><mixed-citation>Harrison, R. M., Jones, A. M., Gietl, J., Yin, J., Green, and D. C.: Estimation of the contributions of brake dust, tire wear, and resuspension to nonexhaust traffic particles derived from atmospheric measurements, Environ. Sci. Technol.,  46, 6523–6529, <ext-link xlink:href="https://doi.org/10.1021/es300894r" ext-link-type="DOI">10.1021/es300894r</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><mixed-citation>Hsieh, C. C., You, C. F., and Ho, T. Y.: The solubility and deposition flux of East Asian aerosol metals in the East China Sea: The effects of aeolian transport processes, Mar. Chem., 253, 104268, <ext-link xlink:href="https://doi.org/10.1016/j.marchem.2023.104268" ext-link-type="DOI">10.1016/j.marchem.2023.104268</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><mixed-citation>Huang, S. J., Chang, C. Y., Mui, D. T., Chang, F. C., Lee, M. Y., and Wang, C. F.: Sequential extraction for evaluating the leaching behavior of selected elements in municipal solid waste incineration fly ash, J. Hazard. Mater., 149, 180–188, <ext-link xlink:href="https://doi.org/10.1016/j.jhazmat.2007.03.067" ext-link-type="DOI">10.1016/j.jhazmat.2007.03.067</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><mixed-citation>Ito, A.: Global modeling study of potentially bioavailable iron input from shipboard aerosol sources to the ocean, Global Biogeochem. Cy., 27, 1–10, <ext-link xlink:href="https://doi.org/10.1029/2012GB004378" ext-link-type="DOI">10.1029/2012GB004378</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><mixed-citation>Ito, A. and Feng, Y.: Role of dust alkalinity in acid mobilization of iron, Atmos. Chem. Phys., 10, 9237–9250, <ext-link xlink:href="https://doi.org/10.5194/acp-10-9237-2010" ext-link-type="DOI">10.5194/acp-10-9237-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><mixed-citation>Ito, A. and Miyakawa, T.: Aerosol iron from metal production as a secondary source of bioaccessible iron, Environ. Sci. Technol., 57, 4091–4100, <ext-link xlink:href="https://doi.org/10.1021/acs.est.2c06472" ext-link-type="DOI">10.1021/acs.est.2c06472</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><mixed-citation>Ito, A., Myriokefalitakis, S., Kanakidou, M., Mahowald, N. M., Scanza, R. A., Hamilton, D. S., Baker, A. R., Jickells, T. D., Sarin, M. M., Bikkina, S., Gao, Y., Shelley, R. U., Buck, C. S., Landing, W. M., Bowie, A. R., Perron, M. M. G., Guieu, C., Meskhidze, N., Johnson, M. S., Feng, Y., Kok, J. F., Nenes, A., and Duce, R. A.: Pyrogenic iron: The missing link to high iron solubility in aerosols, Sci. Adv., 5, eaau7671, <ext-link xlink:href="https://doi.org/10.1126/sciadv.aau7671" ext-link-type="DOI">10.1126/sciadv.aau7671</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><mixed-citation>Ito, A., Ye, Y., Baldo, C., and Shi, Z.: Ocean fertilization by pyrogenic aerosol iron, npj Clim. Atmos. Sci., 4, 30, <ext-link xlink:href="https://doi.org/10.1038/s41612-021-00185-8" ext-link-type="DOI">10.1038/s41612-021-00185-8</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><mixed-citation>Jickells, T. D., An, Z. S., Andersen, K. K., Baker, A. R., Bergametti, G., Brooks, N., Cao, J. J., Boyd, P. W., Duce, R. A., Hunter, K. A., Kawahata, H., Kubilay, N., LaRoche, J., Liss, P. S., Mahowald, N. M., Prospero, J. M., Ridgwell, and A. J., Tegen, I., and Torres, R.: Global iron connections between desert dust, ocean biogeochemistry, and climate, Science, 308, 67–71, <ext-link xlink:href="https://doi.org/10.1126/science.1105959" ext-link-type="DOI">10.1126/science.1105959</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><mixed-citation>Jin, X., Gruber, N., Frenzel, H., Doney, S. C., and McWilliams, J. C.: The impact on atmospheric CO<sub>2</sub> of iron fertilization induced changes in the ocean's biological pump, Biogeosciences, 5, 385–406, <ext-link xlink:href="https://doi.org/10.5194/bg-5-385-2008" ext-link-type="DOI">10.5194/bg-5-385-2008</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><mixed-citation>Journet, E., Desboeufs, K. V., Caquineau, S., and Colin, J. L.: Mineralogy as a critical factor of dust iron solubility, Geophys. Res. Lett., 35, L07805, <ext-link xlink:href="https://doi.org/10.1029/2007GL031589" ext-link-type="DOI">10.1029/2007GL031589</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><mixed-citation>Kajino, M., Hagino, H., Fujitani, Y., Morikawa, T., Fukui, T., Onishi, K., Okuda, T., Kajikawa, T., and Igarashi, Y.: Modeling transition metals in East Asia and Japan and its emission sources, GeoHealth, 4, e2020GH000259, <ext-link xlink:href="https://doi.org/10.1029/2020GH000259" ext-link-type="DOI">10.1029/2020GH000259</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><mixed-citation>Kanakidou, M., Myriokefalitakis, S., and Tsigaridis, K.: Aerosols in atmospheric chemistry and biogeochemical cycles of nutrients, Environ. Res. Lett., 13, 063004, <ext-link xlink:href="https://doi.org/10.1088/1748-9326/aabcdb" ext-link-type="DOI">10.1088/1748-9326/aabcdb</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib52"><label>52</label><mixed-citation>Kawai, K., Matsui, H., and Tobo, Y.: High potential of Asian dust to act as ice nucleating particles in mixed-phase clouds simulated with a global aerosol-climate model, J. Geophys. Res.-Atmos., 126, e2020JD034263, <ext-link xlink:href="https://doi.org/10.1029/2020JD034263" ext-link-type="DOI">10.1029/2020JD034263</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib53"><label>53</label><mixed-citation>Kieber, R. J., Willey, J. D., and Broooks Avery Jr., G.: Temporal variability of rainwater iron speciation at the Bermuda Atlantic Time Series Station, J. Geophys. Res.-Oceans, 108, 3277, <ext-link xlink:href="https://doi.org/10.1029/2001JC001031" ext-link-type="DOI">10.1029/2001JC001031</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bib54"><label>54</label><mixed-citation>Kim, A. G., Kazonich, G., and Dahlberg, M.: Relative solubility of cations in class F fly ash, Environ. Sci. Technol., 37, 4507–4511, <ext-link xlink:href="https://doi.org/10.1021/es0263691" ext-link-type="DOI">10.1021/es0263691</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bib55"><label>55</label><mixed-citation>Kodama, H. and Schnitzer, M.: Dissolution of chlorite minerals by fulvic acid, Can. J. Soil Sci., 53, 240–243, <ext-link xlink:href="https://doi.org/10.4141/cjss73-036" ext-link-type="DOI">10.4141/cjss73-036</ext-link>, 1973.</mixed-citation></ref>
      <ref id="bib1.bib56"><label>56</label><mixed-citation>Komonweeraket, K., Cetin, B., Aydilek, A. H., Benson, C. H., and Edil, T. B.: Effects of pH on the leaching mechanisms of elements from fly ash mixed soils, Fuel, 140, 788–802, <ext-link xlink:href="https://doi.org/10.1016/j.fuel.2014.09.068" ext-link-type="DOI">10.1016/j.fuel.2014.09.068</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib57"><label>57</label><mixed-citation>Krishnamurthy, A., Moore, J. K., Mahowald, N., Luo, C., Doney, S., Linday, K., and Zender, C. S.: Impacts of increasing anthropogenic soluble iron and nitrogen deposition on ocean biogeochemistry, Global Biogeochem. Cy., 23, GB3016, <ext-link xlink:href="https://doi.org/10.1029/2008GB003440" ext-link-type="DOI">10.1029/2008GB003440</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib58"><label>58</label><mixed-citation>Kurisu, M. and Takahashi, Y.: Testing iron stable isotope ratios as signature of biomass burning, Atmosphere, 10, 76, <ext-link xlink:href="https://doi.org/10.3390/atmos10020076" ext-link-type="DOI">10.3390/atmos10020076</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib59"><label>59</label><mixed-citation>Kurisu, M., Adachi, K., Sakata, K., and Takahashi, Y.: Stable isotope ratios of combustion iron produced by evaporation in a steel plant, ACS Earth Space Chem., 3, 588–598, <ext-link xlink:href="https://doi.org/10.1021/acsearthspacechem.8b00171" ext-link-type="DOI">10.1021/acsearthspacechem.8b00171</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib60"><label>60</label><mixed-citation>Kurisu, M., Sakata, K., Uematsu, M., Ito, A., and Takahashi, Y.: Contribution of combustion Fe in marine aerosols over the northwestern Pacific estimated by Fe stable isotope ratios, Atmos. Chem. Phys., 21, 16027–16050, <ext-link xlink:href="https://doi.org/10.5194/acp-21-16027-2021" ext-link-type="DOI">10.5194/acp-21-16027-2021</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib61"><label>61</label><mixed-citation>Kurisu, M., Sakata, K., Nishioka, J., Obata, H., Conway, T. M., Hunt, H. R., Sieber, M., Suzuki, K., Kashiwabara, T., Kubo, S., Takada, M., and Takahashi, Y.: Source and fate of atmospheric iron supplied to the subarctic North Pacific traced by stable iron isotope ratios, Geochim. Cosmochim. Ac., 378, 168–185, <ext-link xlink:href="https://doi.org/10.1016/j.gca.2024.06.009" ext-link-type="DOI">10.1016/j.gca.2024.06.009</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bib62"><label>62</label><mixed-citation>Kurisu, M., Zhu, C., Miyakawa, T., Ito, A., Suzuki, K., and Kashiwabara, T.: Identification of anthropogenic Fe originated from East Asia using Fe stable isotope ratios of aerosols collected on Fukue Island, Atmos. Environ., 373, 121893, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2026.121893" ext-link-type="DOI">10.1016/j.atmosenv.2026.121893</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bib63"><label>63</label><mixed-citation>Kurokawa, J. and Ohara, T.: Long-term historical trends in air pollutant emissions in Asia: Regional Emission inventory in ASia (REAS) version 3, Atmos. Chem. Phys., 20, 12761–12793, <ext-link xlink:href="https://doi.org/10.5194/acp-20-12761-2020" ext-link-type="DOI">10.5194/acp-20-12761-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib64"><label>64</label><mixed-citation>Labatut, M., Lacan, F., Pradoux, C., Chmeleff, J., Radic, A., Murray, J. W., Poitrasson, F., Johansen, A. M., and Thil, F.: Iron sources and dissolved-particulate interactions in the seawater of the Western Equatorial Pacific, iron isotope perspectives, Global Biogeochem. Cy., 28, 1044–1065, <ext-link xlink:href="https://doi.org/10.1002/2014GB004928" ext-link-type="DOI">10.1002/2014GB004928</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib65"><label>65</label><mixed-citation>Li, T., Wang, Y., Li, W. J., Chen, J. M., Wang, T., and Wang, W. X.: Concentrations and solubility of trace elements in fine particles at a mountain site, southern China: regional sources and cloud processing, Atmos. Chem. Phys., 15, 8987–9002, <ext-link xlink:href="https://doi.org/10.5194/acp-15-8987-2015" ext-link-type="DOI">10.5194/acp-15-8987-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib66"><label>66</label><mixed-citation>Li, W., Xu, L., Liu, X., Zhang, J., Lin, Y., Yao, X., Gao, H., Zhang, D., Chen, J., Wang, W., Harrison, R., Shao, L., Fu, P., Nenes, A., and Shi, Z.: Air pollution–aerosol interactions produce more bioavailable iron for ocean ecosystems, Sci. Adv., 3, e1601749, <ext-link xlink:href="https://doi.org/10.1126/sciadv.1601749" ext-link-type="DOI">10.1126/sciadv.1601749</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib67"><label>67</label><mixed-citation>Liu, X., Turner, J. R.., Hand, J. L., Schichtel, B. A., and Martin, R. V.: A global-scale mineral dust equation, J. Geophys. Res.-Atmos., 127, e2022JD036937, <ext-link xlink:href="https://doi.org/10.1029/2022JD036937" ext-link-type="DOI">10.1029/2022JD036937</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib68"><label>68</label><mixed-citation>Lowson, R. T., Comarmond, J., Rajaratnam, G., and Brown, P. L.: The kinetics of the dissolution of chlorite as a function of pH and at 25 °C, Geochim. Cosmochim. Ac., 69, 1687–1699, <ext-link xlink:href="https://doi.org/10.1016/j.gca.2004.09.028" ext-link-type="DOI">10.1016/j.gca.2004.09.028</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib69"><label>69</label><mixed-citation>Luo, C., Wang, W., Sheng, L., Zhou, Y., Hu, Z., Qu, W., Li, X., and Hai, S.: Influence of polluted dust on chlorophyll-a concentration and particulate organic carbon in the subarctic North Pacific Ocean based on satellite observation and the WRF-Chem simulation, Atmos. Res., 236, 104812, <ext-link xlink:href="https://doi.org/10.1016/j.atmosres.2019.104812" ext-link-type="DOI">10.1016/j.atmosres.2019.104812</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib70"><label>70</label><mixed-citation>Ma, Q., Cai, S., Wang, S., Zhao, B., Martin, R. V., Brauer, M., Cohen, A., Jiang, J., Zhou, W., Hao, J., Frostad, J., Forouzanfar, M. H., and Burnett, R. T.: Impacts of coal burning on ambient PM<sub>2.5</sub> pollution in China, Atmos. Chem. Phys., 17, 4477–4491, <ext-link xlink:href="https://doi.org/10.5194/acp-17-4477-2017" ext-link-type="DOI">10.5194/acp-17-4477-2017</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib71"><label>71</label><mixed-citation>Mahowald, N. M., Engelstaedter, S., Luo, C., Sealy, A., Artaxo, P., Benitez-Nelson, C., Bonnet, S., Chen, Y., Chuang, P. Y., Cohen, D. D., Dulac, F., Herut, B., Johansen, A. M., Kubilay, N., Losno, R., Maenhaut, W., Paytan, A., Prospero, J. M., Shank, L. M., and Siefert, R. L.: Atmospheric iron deposition: Global distribution, variability and human perturbations, Annu. Rev. Mar. Sci., 1, 245–278, <ext-link xlink:href="https://doi.org/10.1146/annurev.marine.010908.163727" ext-link-type="DOI">10.1146/annurev.marine.010908.163727</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib72"><label>72</label><mixed-citation>Mahowald, N. M., Hamilton, D. S., Mackey, K. R. M., Moore, J. K., Baker, A. R., Scanza, R. A., and Zhang, Y.: Aerosol trace metal leaching and impacts on marine microorganisms, Nat. Commun., 9, 1–15, <ext-link xlink:href="https://doi.org/10.1038/s41467-018-04970-7" ext-link-type="DOI">10.1038/s41467-018-04970-7</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib73"><label>73</label><mixed-citation>Marsay, C. M., Kadko, D., Landing, W. M., and Buck, C.: Bulk aerosol trace element concentrations and deposition fluxes during the U.S, GEOTRACES GP15 Pacific meridional transect, Global Biogeochem. Cy., 36, e2021GB007122, <ext-link xlink:href="https://doi.org/10.1029/2021GB007122" ext-link-type="DOI">10.1029/2021GB007122</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib74"><label>74</label><mixed-citation>Martin, J. H.: Glacial-interglacial CO<sub>2</sub> change: The iron hypothesis, Paleoceanography, 5, 1–13, <ext-link xlink:href="https://doi.org/10.1029/PA005i001p00001" ext-link-type="DOI">10.1029/PA005i001p00001</ext-link>, 1990.</mixed-citation></ref>
      <ref id="bib1.bib75"><label>75</label><mixed-citation>Martin, J. H. and Fitzwater, S. E.: Iron deficiency limits phytoplankton growth in the north-east Pacific subarctic, Nature, 331, 341–343, <ext-link xlink:href="https://doi.org/10.1038/331341a0" ext-link-type="DOI">10.1038/331341a0</ext-link>, 1988.</mixed-citation></ref>
      <ref id="bib1.bib76"><label>76</label><mixed-citation>Martin, J. H., Coale, K. H., Johnson, K. S., Fitzwater, S. E., Gordon, R. M., Tanner, S. J., Hunter, C. N., Elrod, V. A., Nowicki, J. L., Coley, T. L., Barber, R. T., Lindley, S., Watson, A. J., Van Scoy, K., Law, C. S., Liddicoat, M. I., Ling, R., Stanton, T., Stockel, J., Collins, C., Anderson, A., Bidigare, R., Ondrusek, M., Latasa, J., Millero, F. J., Lee, K., Yao, W., Zhang, J.-Z., Friederich, G., Sakamoto, C., Chavez, F., Buck, K., Kolber, Z., Greene, R., Falkowski, P., Chisholm, S. W., Hoge, F., and Tindale, N. W.: Testing the iron hypothesis in ecosystems of the equatorial Pacific Ocean, Nature, 371, 123–129, <ext-link xlink:href="https://doi.org/10.1038/371123a0" ext-link-type="DOI">10.1038/371123a0</ext-link>, 1994.</mixed-citation></ref>
      <ref id="bib1.bib77"><label>77</label><mixed-citation>Maters, E. C., Delmelle, P., and Bonneville, S.: Atmospheric processing of volcanic glass: Effects on iron solubility and redox speciation, Environ. Sci. Technol., 50, 5033–5040, <ext-link xlink:href="https://doi.org/10.1021/acs.est.5b06281" ext-link-type="DOI">10.1021/acs.est.5b06281</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib78"><label>78</label><mixed-citation>Meskhidze, N., Chameides, W. L., and Nenes, A.: Dust and pollution: A recipe for enhanced ocean fertilization?, J. Geophys. Res., 110, D03301, <ext-link xlink:href="https://doi.org/10.1029/2004JD005082" ext-link-type="DOI">10.1029/2004JD005082</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib79"><label>79</label><mixed-citation>Mitra, A. and Rimstidt, J. D.: Solubility and dissolution rate of silica in acid fluoride solutions, Geochim. Cosmochim. Ac., 73, 7045–7059, <ext-link xlink:href="https://doi.org/10.1016/j.gca.2009.08.027" ext-link-type="DOI">10.1016/j.gca.2009.08.027</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib80"><label>80</label><mixed-citation>Miyamoto, C., Sakata, K., Yamakawa, Y., and Takahashi, Y.: Determination of calcium and sulfate species in aerosols associated with the conversion of its species through reaction processes in the atmosphere and its influence on cloud condensation nuclei activation, Atmos. Environ., 223, 117193, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2019.117193" ext-link-type="DOI">10.1016/j.atmosenv.2019.117193</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib81"><label>81</label><mixed-citation>Morton, P. L., Landing, W. M., Hsu, S. C., Milne, A., Aguilar-Islas, A. M., and Baker, A. R.: Methods for the sampling and analysis of marine aerosols: results from the 2008 GEOTRACES aerosol intercalibration experiment, Limnol. Oceanogr. Meth., 11, 62–78, <ext-link xlink:href="https://doi.org/10.4319/lom.2013.11.62" ext-link-type="DOI">10.4319/lom.2013.11.62</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib82"><label>82</label><mixed-citation>Muhs, D. R.: The geologic records of dust in the Quaternary, Aeolian Res., 9, 3–48, <ext-link xlink:href="https://doi.org/10.1016/j.aeolia.2012.08.001" ext-link-type="DOI">10.1016/j.aeolia.2012.08.001</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib83"><label>83</label><mixed-citation>Oakes, M., Ingall, E. D., Lai, B., Shafer, M. M., Hays, M. D., Liu, Z. G., Russell, A. G., and Weber, R. J.: Iron solubility related to particle sulfur content in source emission and ambient fine particles, Environ. Sci. Technol., 46, 6637–6644, <ext-link xlink:href="https://doi.org/10.1021/es300701c" ext-link-type="DOI">10.1021/es300701c</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib84"><label>84</label><mixed-citation>Olgun, N., Duggen, S., Croot, P. L., Delmelle, P., Dietze, H., and Schacht, U.: Surface ocean iron fertilization: The role of airborne volcanic ash from subduction zone and hot spot volcanoes and related iron fluxes into the Pacific Ocean, Global Biogeochem. Cy., 36, GB4001, <ext-link xlink:href="https://doi.org/10.1029/2009GB003761" ext-link-type="DOI">10.1029/2009GB003761</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib85"><label>85</label><mixed-citation>Paris, R. and Desboeufs, K. V.: Effect of atmospheric organic complexation on iron-bearing dust solubility, Atmos. Chem. Phys., 13, 4895–4905, <ext-link xlink:href="https://doi.org/10.5194/acp-13-4895-2013" ext-link-type="DOI">10.5194/acp-13-4895-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib86"><label>86</label><mixed-citation>Paris, R., Desboeufs, K. V., and Journet, E.: Variability of dust iron solubility in atmospheric waters: Investigation of the role of oxalate organic complexation, Atmos. Environ., 45, 6510–6517, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2011.08.068" ext-link-type="DOI">10.1016/j.atmosenv.2011.08.068</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib87"><label>87</label><mixed-citation>Patey, M. D., Achterberg, E. P., Rijkenberg, M. J., and Pearce, R.: Aerosol time-series measurements over the tropical Northeast Atlantic Ocean: Dust sources, elemental composition and mineralogy, Mar. Chem., 174, 103–119, <ext-link xlink:href="https://doi.org/10.1016/j.marchem.2015.06.004" ext-link-type="DOI">10.1016/j.marchem.2015.06.004</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib88"><label>88</label><mixed-citation>Perron, M. M. G., Proemse, B. C., Strzelec, M., Gault-Ringold, M., Boyd, P. W., Rodriguez, E. S., Paull, B., and Bowie, A. R.: Origin, transport and deposition of aerosol iron to Australian coastal waters, Atmos. Environ., 228, 117432, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2020.117432" ext-link-type="DOI">10.1016/j.atmosenv.2020.117432</ext-link>, 2020a.</mixed-citation></ref>
      <ref id="bib1.bib89"><label>89</label><mixed-citation>Perron, M. M. G., Strzelec, M., Gault-Ringold, M., Proemse, B. C., Boyd, P. W., and Bowie, A. R.: Assessment of leaching protocols to determine the solubility of trace metals in aerosols, Talanta, 208, 120377, <ext-link xlink:href="https://doi.org/10.1016/j.talanta.2019.120377" ext-link-type="DOI">10.1016/j.talanta.2019.120377</ext-link>, 2020b.</mixed-citation></ref>
      <ref id="bib1.bib90"><label>90</label><mixed-citation>Perron, M. M. G., Proemse, B. C., Strzelec, M., Gault-Ringold, M., and Bowie, A. R.: Atmospheric inputs of volcanic iron around Heard and McDonald Islands, Southern ocean, Environ. Sci. Atmos., 1, 508, <ext-link xlink:href="https://doi.org/10.1039/D1EA00054C" ext-link-type="DOI">10.1039/D1EA00054C</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib91"><label>91</label><mixed-citation>Praharaj, T., Powell, M. A., Hart, B. R., and Tripathy, S.: Leachability of elements from sub-bituminous coal fly ash from India, Environ. Int., 27, 609–615, <ext-link xlink:href="https://doi.org/10.1016/S0160-4120(01)00118-0" ext-link-type="DOI">10.1016/S0160-4120(01)00118-0</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bib92"><label>92</label><mixed-citation>Pye, H. O. T., Nenes, A., Alexander, B., Ault, A. P., Barth, M. C., Clegg, S. L., Collett Jr., J. L., Fahey, K. M., Hennigan, C. J., Herrmann, H., Kanakidou, M., Kelly, J. T., Ku, I.-T., McNeill, V. F., Riemer, N., Schaefer, T., Shi, G., Tilgner, A., Walker, J. T., Wang, T., Weber, R., Xing, J., Zaveri, R. A., and Zuend, A.: The acidity of atmospheric particles and clouds, Atmos. Chem. Phys., 20, 4809–4888, <ext-link xlink:href="https://doi.org/10.5194/acp-20-4809-2020" ext-link-type="DOI">10.5194/acp-20-4809-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib93"><label>93</label><mixed-citation>Rathod, S. D., Hamilton, D. S., Mahowald, N. M., Klimont, Z., Vorbett, J. J., and Bond, T. C.: A mineralogy-based anthropogenic combustion-iron emission inventory, J. Geophys. Res.-Atmos., 125, e2019JD032114, <ext-link xlink:href="https://doi.org/10.1029/2019JD032114" ext-link-type="DOI">10.1029/2019JD032114</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib94"><label>94</label><mixed-citation>Rathod, S. D., Hamilton, D. S., Nino, L. L., Kreidenweis, S. M., Bian, Q., Mahowald, N. M., Alastuey, A., Querol, X., Paytan, A., Artaxo, P., Herut, B., Gaston, C., Prospero, J., Chellam, S., Hueglin, C., Varrica, D., Dongarra, G., Cohen, D. D., Smichowski, P., Gomez, D., Lambert, F., Barraza, F., Bergametti, G., Rodríguez, S., Gonzalez-Ramos, Y., Hand, J., Kyllönen, K., Hakola, H., Chuang, P. Y., Hopke, P. K., Harrison, R. M., Martin, R. V., Walsh, B., Weagle, C., Maenhaut, W., Morera-Gómez, Y., Chen, Y. C., Pierce, J. R., and Bond, T. C.: Constraining present-day anthropogenic total iron emission using model and observations, J. Geophys. Res.-Atmos., 129, e2023JD040332, <ext-link xlink:href="https://doi.org/10.1029/2023JD040332" ext-link-type="DOI">10.1029/2023JD040332</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bib95"><label>95</label><mixed-citation>Rudnick, R. L.  and Gao, S.: Composition of the continental crust, Treatise on Geochemistry, 3, 1–64, 2003.</mixed-citation></ref>
      <ref id="bib1.bib96"><label>96</label><mixed-citation>Sakata, K., Kurisu, M., Tanimoto, H., Sakaguchi, A., Uematsu, M., Miyamoto, C., and Takahashi, Y.: Custom-made PTFE filters for ultra-clean size-fractionated aerosol sampling for trace metals, Mar. Chem., 206, 100–108, <ext-link xlink:href="https://doi.org/10.1016/j.marchem.2018.09.009" ext-link-type="DOI">10.1016/j.marchem.2018.09.009</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib97"><label>97</label><mixed-citation>Sakata, K., Kurisu, M., Takeichi, Y., Sakaguchi, A., Tanimoto, H., Tamenori, Y., Matsuki, A., and Takahashi, Y.: Iron (Fe) speciation in size-fractionated aerosol particles in the Pacific Ocean: The role of organic complexation of Fe with humic-like substances in controlling Fe solubility, Atmos. Chem. Phys., 22, 9461–9482, <ext-link xlink:href="https://doi.org/10.5194/acp-22-9461-2022" ext-link-type="DOI">10.5194/acp-22-9461-2022</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib98"><label>98</label><mixed-citation>Sakata, K., Sakaguchi, A., Yamakawa, Y., Miyamoto, C., Kurisu, M., and Takahashi, Y.: Measurement report: Stoichiometry of dissolved iron and aluminum as an indicator of the factors controlling the fractional solubility of aerosol iron – results of the annual observations of size-fractionated aerosol particles in Japan, Atmos. Chem. Phys., 23, 9815–9836, <ext-link xlink:href="https://doi.org/10.5194/acp-23-9815-2023" ext-link-type="DOI">10.5194/acp-23-9815-2023</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bib99"><label>99</label><mixed-citation>Sakata, K., Takano, S., Matsuki, A., Takeichi, Y., Tanimoto, H., Sakaguchi, A., Kurisu, M., and Takahashi, Y.: Atmospheric chemistry in East Asia determines the iron solubility of aerosol particles supplied to the North Pacific Ocean, Atmos. Chem. Phys., 25, 11087–11107, <ext-link xlink:href="https://doi.org/10.5194/acp-25-11087-2025" ext-link-type="DOI">10.5194/acp-25-11087-2025</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bib100"><label>100</label><mixed-citation>Sakata, K., Kurisu, M., and Takahashi, Y.: Dataset for Assessment of Aerosol Iron Solubility using Global Dataset Part I [Dataset]. In Assessment of aerosol iron (Fe) solubility using global dataset, Part I: Mechanisms underlying the inverse relationship between Fe solubility and Fe concentration, Zenodo [data set], <ext-link xlink:href="https://doi.org/10.5281/zenodo.22703287" ext-link-type="DOI">10.5281/zenodo.22703287</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bib101"><label>101</label><mixed-citation>Scanza, R. A., Hamilton, D. S., Perez Garcia-Pando, C., Buck, C., Baker, A., and Mahowald, N. M.: Atmospheric processing of iron in mineral and combustion aerosols: development of an intermediate-complexity mechanism suitable for Earth system models, Atmos. Chem. Phys., 18, 14175–14196, <ext-link xlink:href="https://doi.org/10.5194/acp-18-14175-2018" ext-link-type="DOI">10.5194/acp-18-14175-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib102"><label>102</label><mixed-citation>Schlitzer, R.: Ocean Data View, <uri>https://odv.awi.de</uri> (last access: 19 September 2026), 2025.</mixed-citation></ref>
      <ref id="bib1.bib103"><label>103</label><mixed-citation>Schroth, A. W., Crusius, J., Sholkovitz, E. R., and Bostick, B. C.: Iron solubility driven by speciation in dust sources to the ocean, Nat. Geosci., 2, 337–340, <ext-link xlink:href="https://doi.org/10.1038/ngeo501" ext-link-type="DOI">10.1038/ngeo501</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib104"><label>104</label><mixed-citation>Sedwick, P. N., Sholkovitz, E. R., and Church, T. M.: Impact of anthropogenic combustion emissions on the fractional solubility of aerosol iron: Evidence from the Sargasso Sea, Geochem. Geophy. Geosy., 8, Q10Q06, <ext-link xlink:href="https://doi.org/10.1029/2007GC001586" ext-link-type="DOI">10.1029/2007GC001586</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib105"><label>105</label><mixed-citation>Seidel, A. and Zimmels, Y.: Mechanism and kinetics of aluminium and iron leaching from coal fly ash by sulfuric acid, Chem. Eng. Sci., 53, 3535–3852, <ext-link xlink:href="https://doi.org/10.1016/S0009-2509(98)00201-2" ext-link-type="DOI">10.1016/S0009-2509(98)00201-2</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bib106"><label>106</label><mixed-citation>Seo, H. and Kim, G.: Anthropogenic iron invasion into the ocean: Results from the East Sea (Japan Sea), Environ. Sci. Technol., 57, 10745–10753, <ext-link xlink:href="https://doi.org/10.1021/acs.est.3c01084" ext-link-type="DOI">10.1021/acs.est.3c01084</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bib107"><label>107</label><mixed-citation>Shah, V., Jacob, D. J., Moch, J. M., Wang, X., and Zhai, S.: Global modeling of cloud water acidity, precipitation acidity, and acid inputs to ecosystems, Atmos. Chem. Phys., 20, 12223–12245, <ext-link xlink:href="https://doi.org/10.5194/acp-20-12223-2020" ext-link-type="DOI">10.5194/acp-20-12223-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib108"><label>108</label><mixed-citation>Shelley, R. U., Landing, W. M., Ussher, S. J., Planquette, H., and Sarthou, G.: Regional trends in the fractional solubility of Fe and other metals from North Atlantic aerosols (GEOTRACES cruises GA01 and GA03) following a two-stage leach, Biogeosciences, 15, 2271–2288, <ext-link xlink:href="https://doi.org/10.5194/bg-15-2271-2018" ext-link-type="DOI">10.5194/bg-15-2271-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib109"><label>109</label><mixed-citation>Shi, Z. B., Woodhouse, M. T., Carslaw, K. S., Krom, M. D., Mann, G. W., Baker, A. R., Savov, I., Fones, G. R., Brooks, B., Drake, N., Jickells, T. D., and Benning, L. G.: Minor effect of physical size sorting on iron solubility of transported mineral dust, Atmos. Chem. Phys., 11, 8459–8469, <ext-link xlink:href="https://doi.org/10.5194/acp-11-8459-2011" ext-link-type="DOI">10.5194/acp-11-8459-2011</ext-link>, 2011a.</mixed-citation></ref>
      <ref id="bib1.bib110"><label>110</label><mixed-citation>Shi, Z., Bonneville, S., Krom, M. D., Carslaw, K. S., Jickells, T. D., Baker, A. R., and Benning, L. G.: Iron dissolution kinetics of mineral dust at low pH during simulated atmospheric processing, Atmos. Chem. Phys., 11, 995–1007, <ext-link xlink:href="https://doi.org/10.5194/acp-11-995-2011" ext-link-type="DOI">10.5194/acp-11-995-2011</ext-link>, 2011b.</mixed-citation></ref>
      <ref id="bib1.bib111"><label>111</label><mixed-citation>Shi, Z., Krom, M. D., Bonneville, S., and Benning, L. G.: Atmospheric processing outside clouds increases soluble iron in mineral dust, Environ. Sci. Technol., 49, 1472–1477, <ext-link xlink:href="https://doi.org/10.1021/es504623x" ext-link-type="DOI">10.1021/es504623x</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib112"><label>112</label><mixed-citation>Sholkovitz, E. R., Sedwick, P. N., and Church, T. M.: Influence of anthropogenic combustion emissions on the deposition of soluble aerosol iron to the ocean: Empirical estimates for island sites in th4e North Atlantic, Geochim. Cosmochim. Ac., 73, 3981–4003, 2009.</mixed-citation></ref>
      <ref id="bib1.bib113"><label>113</label><mixed-citation>Sholkovitz, E. R., Sedwick, P. N., Church, T. M., Baker, A. R., and Powell, C. F.: Fractional solubility of aerosol iron: Synthesis of a global-scale data set, Geochim. Cosmochim. Ac., 89, 173–189, <ext-link xlink:href="https://doi.org/10.1016/j.gca.2012.04.022" ext-link-type="DOI">10.1016/j.gca.2012.04.022</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib114"><label>114</label><mixed-citation>Shupert, L. A., Ebbs, S. D., Lawrence, J., Gibson, D. J., and Filip, P.: Dissolution of copper and iron from automotive brake pad wear debris enhances growth and accumulation by the invasive macrophyte Salvinia molesta Mitchell, Chemosphere, 92, 45–51, <ext-link xlink:href="https://doi.org/10.1016/j.chemosphere.2013.03.002" ext-link-type="DOI">10.1016/j.chemosphere.2013.03.002</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib115"><label>115</label><mixed-citation>Song, Q. and Osada, K.: Seasonal variation of aerosol acidity in Nagoya, Japan and factors affecting it, Atmos. Environ., 5, 100062, <ext-link xlink:href="https://doi.org/10.1016/j.aeaoa.2020.100062" ext-link-type="DOI">10.1016/j.aeaoa.2020.100062</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib116"><label>116</label><mixed-citation>Song, Q., Zhang, Z., Yu, H., Ginoux, P., and Shen, J.: Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability, Atmos. Chem. Phys., 21, 13369–13395, <ext-link xlink:href="https://doi.org/10.5194/acp-21-13369-2021" ext-link-type="DOI">10.5194/acp-21-13369-2021</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib117"><label>117</label><mixed-citation>Sullivan, R. C., Guazzotti, S. A., Sodeman, D. A., and Prather, K. A.: Direct observations of the atmospheric processing of Asian mineral dust, Atmos. Chem. Phys., 7, 1213–1236, <ext-link xlink:href="https://doi.org/10.5194/acp-7-1213-2007" ext-link-type="DOI">10.5194/acp-7-1213-2007</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib118"><label>118</label><mixed-citation>Takahashi, Y., Miyoshi, T., Higashi, M., Kamioka, H., and Kanai, Y.: Neutralization of calcite in mineral aerosols by acidic sulfur species collected in China and Japan studied by Ca K-edge X-ray absorption near-edge structure, Environ. Sci. Technol., 43, 6535–6540, <ext-link xlink:href="https://doi.org/10.1021/es9010256" ext-link-type="DOI">10.1021/es9010256</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib119"><label>119</label><mixed-citation>Takahashi, Y., Higashi, M., Furukawa, T., and Mitsunobu, S.: Change of iron species and iron solubility in Asian dust during the long-range transport from western China to Japan, Atmos. Chem. Phys., 11, 11237–11252, <ext-link xlink:href="https://doi.org/10.5194/acp-11-11237-2011" ext-link-type="DOI">10.5194/acp-11-11237-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib120"><label>120</label><mixed-citation>Takahashi, Y., Furukawa, T., Kanai, Y., Uematsu, M., Zheng, G., and Marcus, M. A.: Seasonal changes in Fe species and soluble Fe concentration in the atmosphere in the Northwest Pacific region based on the analysis of aerosols collected in Tsukuba, Japan, Atmos. Chem. Phys., 13, 7695–7710, <ext-link xlink:href="https://doi.org/10.5194/acp-13-7695-2013" ext-link-type="DOI">10.5194/acp-13-7695-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib121"><label>121</label><mixed-citation>Tang, M., Perron, M. M. G., Baker, A. R., Li, R., Bowie, A. R., Buck, C. S., Kumar, A., Shelley, R., Ussher, S. J., Clough, R., Meyerink, S., Panda, P. P., Townsend, A. T., and Wyatt, N.: Measurement of soluble aerosol trace elements: inter-laboratory comparison of eight leaching protocols, Atmos. Meas. Tech., 18, 6125–6141, <ext-link xlink:href="https://doi.org/10.5194/amt-18-6125-2025" ext-link-type="DOI">10.5194/amt-18-6125-2025</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bib122"><label>122</label><mixed-citation>Tao, Y. and Murphy, J. G.: The sensitivity of PM<sub>2.5</sub> acidity to meteorological parameters and chemical composition changes: 10-year records from six Canadian monitoring sites, Atmos. Chem. Phys., 19, 9309–9320, <ext-link xlink:href="https://doi.org/10.5194/acp-19-9309-2019" ext-link-type="DOI">10.5194/acp-19-9309-2019</ext-link>, 2019a.</mixed-citation></ref>
      <ref id="bib1.bib123"><label>123</label><mixed-citation>Tao, Y. and Murphy, J. G.: The mechanisms responsible for the interactions among oxalate, pH, and Fe dissolution in PM<sub>2.5</sub>, ACS Earth Space Chem., 3, 2259–2265, <ext-link xlink:href="https://doi.org/10.1021/acsearthspacechem.9b00172" ext-link-type="DOI">10.1021/acsearthspacechem.9b00172</ext-link>, 2019b.</mixed-citation></ref>
      <ref id="bib1.bib124"><label>124</label><mixed-citation>Taylor, S. R.: Abundance of chemical elements in the continental crust: a new table, Geochim. Cosmochim. Ac., 28, 1273–1285, <ext-link xlink:href="https://doi.org/10.1016/0016-7037(64)90129-2" ext-link-type="DOI">10.1016/0016-7037(64)90129-2</ext-link>, 1964.</mixed-citation></ref>
      <ref id="bib1.bib125"><label>125</label><mixed-citation>Taylor, S. R. and McLennan, S. M.: The geochemical evolution of the continental crust, Rev. Geophys., 33, 241–265, <ext-link xlink:href="https://doi.org/10.1029/95RG00262" ext-link-type="DOI">10.1029/95RG00262</ext-link>, 1995.</mixed-citation></ref>
      <ref id="bib1.bib126"><label>126</label><mixed-citation>Turekian, K. K. and Wedepohl, K. H.: Distribution of the elements in some major units of the Earth's crust, Geol. Soc. Am. Bull, 72, 175–192, <ext-link xlink:href="https://doi.org/10.1130/0016-7606(1961)72" ext-link-type="DOI">10.1130/0016-7606(1961)72</ext-link>[175:DOTEIS]2.0.CO,2, 1961.</mixed-citation></ref>
      <ref id="bib1.bib127"><label>127</label><mixed-citation>Uematsu, M., Duce, R. A., Prospero, J. M., Chen, L., Merrill, J. T., and McDonald, R. L.: Transport of mineral aerosol from Asia over the North Pacific ocean, J. Geophys. Res., 88, 5342–5352, <ext-link xlink:href="https://doi.org/10.1029/jc088ic09p05343" ext-link-type="DOI">10.1029/jc088ic09p05343</ext-link>, 1983.</mixed-citation></ref>
      <ref id="bib1.bib128"><label>128</label><mixed-citation>van der Does, M., Brummer, G. J. A., Korte, L. F., and Stuut, J. B. W.: Seasonality in Saharan dust across the Atlantic Ocean: From atmospheric transport to seafloor deposition, J. Geophys. Res.-Atmos., 126, e2021JD034614, <ext-link xlink:href="https://doi.org/10.1029/2021JD034614" ext-link-type="DOI">10.1029/2021JD034614</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib129"><label>129</label><mixed-citation>Varela-Lopes, G. E. and Molion, L. C. B.: Precipitation patterns in Cape Verde Islands: Santiago Island case study, Atmos. Clim. Sci., 4, 854–865, <ext-link xlink:href="https://doi.org/10.4236/acs.2014.45075" ext-link-type="DOI">10.4236/acs.2014.45075</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib130"><label>130</label><mixed-citation>Vinatier, V., Wirgot, N., Joly, M., Sancelme, M., Abrantes, M., Deguillaume, L., and Delort, A. M.: Sidreophore in cloud waters and potential impact on atmospheric chemistry: Production by microorganisms isolated at the Puy de Dôme station, Environ. Sci. Technol., 50, 9315–9323, <ext-link xlink:href="https://doi.org/10.1021/acs.est.6b02335" ext-link-type="DOI">10.1021/acs.est.6b02335</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib131"><label>131</label><mixed-citation>Wedepohl, K. H.: The composition of the continental crust.: Geochim. Cosmochim. Ac., 59, 1217–1232, <ext-link xlink:href="https://doi.org/10.1016/0016-7037(95)00038-2" ext-link-type="DOI">10.1016/0016-7037(95)00038-2</ext-link>, 1995. </mixed-citation></ref>
      <ref id="bib1.bib132"><label>132</label><mixed-citation>Willey, J. D., Kieber, R. J., Seation, P. J., and Miller, C.: Rainwater as a source of Fe(II)-stabilizing ligands to seawater, Limnol. Oceanogr., 53, 1678–1684, <ext-link xlink:href="https://doi.org/10.4319/lo.2008.53.4.1678" ext-link-type="DOI">10.4319/lo.2008.53.4.1678</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib133"><label>133</label><mixed-citation>Winton, V. H. L., Edwards, R., Bowie, A. R., Keywood, M., Williams, A. G., Chambers, S. D., Selleck, P. W., Desservettaz, M., Mallet, M. D., and Paton-Walsh, C.: Dry season aerosol iron solubility in tropical northern Australia, Atmos. Chem. Phys., 16, 12829–12848, <ext-link xlink:href="https://doi.org/10.5194/acp-16-12829-2016" ext-link-type="DOI">10.5194/acp-16-12829-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib134"><label>134</label><mixed-citation>Wu, H. Y., Hsieh, C. C., and Ho, T. Y.: Trace metal dissolution kinetics of East Asian size-fractionated aerosols in seawater: The effect of a model siderophore, Mar. Chem., 254, 104277, <ext-link xlink:href="https://doi.org/10.1016/j.marchem.2023.104277" ext-link-type="DOI">10.1016/j.marchem.2023.104277</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bib135"><label>135</label><mixed-citation>Yang, Y.  and Weber, R. J.: Ultrafiltration to characterize PM<sub>2.5</sub> water-soluble iron and its sources in an urban environment, Atmos. Environ., 286, 119246, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2022.119246" ext-link-type="DOI">10.1016/j.atmosenv.2022.119246</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib136"><label>136</label><mixed-citation>Yoon, J. E., Son, S., and Kim, I. N.: Capture of decline in spring phytoplankton biomass derived from COVID-19 lockdown effect in the Yellow Sea offshore waters, Mar. Pollut. Bull., 174, 113175, <ext-link xlink:href="https://doi.org/10.1016/j.marpolbul.2021.113175" ext-link-type="DOI">10.1016/j.marpolbul.2021.113175</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib137"><label>137</label><mixed-citation>Yu, H., Tan, Q., Chin, M., Remer, L. A., Kahn, R. A., Bian, H., Kim, D., Zhang, Z., Yuan, T., Omar, A. H., Winker, D. M., Levy, R., Kalashnikova, O., Crepeau, L., Capelle, V., and Chedin, A.: Estimates of African dust deposition along the trans-Atlantic transit using the decadelong record of aerosol measurements from CALIOP, MODIS, MISR, and IASI, J. Geophys. Res.-Atmos., 124, 7975–7996, <ext-link xlink:href="https://doi.org/10.1029/2019JD030574" ext-link-type="DOI">10.1029/2019JD030574</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib138"><label>138</label><mixed-citation>Zhang, H., Li, R., Huang, C., Li, X., Dong, S., Wang, F., Li, T., Chen, Y., Zhang, G., Ren, Y., Chen, Q., Huang, R., Chen, S., Xue, T., Wang, X., and Tang, M.: Seasonal variation of aerosol iron solubility in coarse and fine particles at an inland city in northwestern China, Atmos. Chem. Phys., 23, 3543–3559, <ext-link xlink:href="https://doi.org/10.5194/acp-23-3543-2023" ext-link-type="DOI">10.5194/acp-23-3543-2023</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bib139"><label>139</label><mixed-citation>Zhang, J., Zhou, X., Wang, Z., Yang, L., Wang, J., and Wang, W.: Trace elements in PM<sub>2.5</sub> in Shandong Province: Source identification and health risk assessment, Sci. Total Environ., 621, 558–577, <ext-link xlink:href="https://doi.org/10.1016/j.scitotenv.2017.11.292" ext-link-type="DOI">10.1016/j.scitotenv.2017.11.292</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib140"><label>140</label><mixed-citation>Zheng, G., Su, H., Wang, S., Andreae, M. O., Pöschl, U., and Cheng, Y.: Multiphase buffer theory explains contrasts in atmospheric aerosol acidity, Science, 369, 1374–1377, <ext-link xlink:href="https://doi.org/10.1126/science.aba3719" ext-link-type="DOI">10.1126/science.aba3719</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib141"><label>141</label><mixed-citation>Zhu, Q., Liu, Y., Shao, T., and Tang, Y.: Transport of Asian aerosols to the Pacific Ocean, Atmos. Res., 234, 104735, <ext-link xlink:href="https://doi.org/10.1016/j.atmosres.2019.104735" ext-link-type="DOI">10.1016/j.atmosres.2019.104735</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib142"><label>142</label><mixed-citation>Zhu, Y., Li, W., Wang, Y., Zhang, J., Liu, L., Xu, L., Xu, J., Shi, J., Shao, L., Fu, P., Zhang, D., and Shi, Z.: Sources and processes of iron aerosols in a megacity in Eastern China, Atmos. Chem. Phys., 22, 2191–2202, <ext-link xlink:href="https://doi.org/10.5194/acp-22-2191-2022" ext-link-type="DOI">10.5194/acp-22-2191-2022</ext-link>, 2022.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Assessment of aerosol iron (Fe) solubility using global dataset – Part 1: Mechanisms underlying the inverse relationship between Fe solubility and Fe concentration</article-title-html>
<abstract-html/>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
      
Adams, A. M., Prospero, J. M., and Zhang, C.: CALIPSO-derived three-dimensional structure of aerosol over the Atlantic basin and adjacent continents, J. Climate, 25, 6862–6879, <a href="https://doi.org/10.1175/JCLI-D-11-00672.1" target="_blank">https://doi.org/10.1175/JCLI-D-11-00672.1</a>, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
      Andreae, M. O., Fischer, A. H., Freitas, S. R., Grégoire, J. M., Hoor, H. P., Kormann, R., Krejci, R., Lange, L., Lelieveld, J., Lindinger, W., Longo, K., Peters, W., de Reus, M., Scheeren, B., Silva, M. A. F., Ström, J., van Velthoven, P. F. J., and Williams, J.: Transport of biomass burning smoke to the upper troposphere by deep convection in the equatorial region, Geophys. Res. Lett., 28, 951–954, <a href="https://doi.org/10.1029/2000GL012391" target="_blank">https://doi.org/10.1029/2000GL012391</a>, 2001.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
      Baker, A. R. and Croot, P. L.: Atmospheric and marine controls on aerosol iron solubility in seawater, Mar. Chem., 120, 4–13, <a href="https://doi.org/10.1016/j.marchem.2008.09.003" target="_blank">https://doi.org/10.1016/j.marchem.2008.09.003</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
      Baker, A. R., French, M., and Linge, K. L.: Trends in aerosol nutrient solubility along a west–east transect of the Saharan dust plume, Geophys. Res. Lett., 33, L07805, <a href="https://doi.org/10.1029/2005GL024764" target="_blank">https://doi.org/10.1029/2005GL024764</a>, 2006a.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
      Baker, A. R., Jickells, T. D., Witt, M., and Linge, K. L.: Trends in the solubility of iron, aluminium, manganese and phosphorus in aerosol collected over the Atlantic Ocean, Mar. Chem., 98, 43–58, <a href="https://doi.org/10.1016/j.marchem.2005.06.004" target="_blank">https://doi.org/10.1016/j.marchem.2005.06.004</a>, 2006b.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
      Baker, A. R., Adams, C., Bell, T. G., Jickells, T. D., and Ganzeveld, L.: Estimation of atmospheric nutrient inputs to the Atlantic Ocean from 50°&thinsp;N to 50°&thinsp;S based on large-scale field sampling: Iron and other dust-associated elements, Global Biogeochem. Cy., 27, 755–767, <a href="https://doi.org/10.1002/gbc.20062" target="_blank">https://doi.org/10.1002/gbc.20062</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
      Baker, A. R., Li, M., and Chance, R.: Trace metal fractional solubility in size-segregated aerosols from the tropical eastern Atlantic Ocean, Global Biogeochem. Cy., 34, e2019GB006510, <a href="https://doi.org/10.1029/2019GB006510" target="_blank">https://doi.org/10.1029/2019GB006510</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
      Baker, A. R., Kanakidou, M., Nenes, A., Myriokefalitakis, S., Croot, P. L., Duce, R. A., Gao, Y., Guieu, C., Ito, A., Jickells, T. D., Mahowald, N. M., Middag, R., Perron, M. M. G., Sarin, M. M., Shelley, R., and Turner, D. R.: Changing atmospheric acidity as a modulator of nutrient deposition and ocean biogeochemistry, Sci. Adv., 7, eabd8800, <a href="https://doi.org/10.1126/sciadv.abd8800" target="_blank">https://doi.org/10.1126/sciadv.abd8800</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
      Bibi, I., Singh, B., and Silvester, E.: Dissolution of illite in saline–acidic solutions at 25&thinsp;°C, Geochim. Cosmochim. Ac., 75, 3237–3249, <a href="https://doi.org/10.1016/j.gca.2011.03.022" target="_blank">https://doi.org/10.1016/j.gca.2011.03.022</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
      Boyd, P. W., Jickells, T., Law, C. S., Blain, S., Boyle, E. A., and Buesseler, K. O.: Mesoscale iron enrichment experiments 1993–2005: Synthesis, and future directions, Science, 315, 612–617, <a href="https://doi.org/10.1126/science.1131669" target="_blank">https://doi.org/10.1126/science.1131669</a>, 2007.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
      Bray, A. W., Oelkers, E. H., Bonneville, S., Wolff-Boenisch, D., Potts, N. J., Fones, G., and Benning, L. G.: The effect of pH, grain size, and organic ligands on biotite weathering rates, Geochim. Cosmochim. Ac., 164, 127–145, <a href="https://doi.org/10.1016/j.gca.2015.04.048" target="_blank">https://doi.org/10.1016/j.gca.2015.04.048</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
      Buck, C. S. and Paytan, A.: Evaluation of commonly used filter substates for the measurement of aerosol trace element solubility, Limnol. Oceanogr. Meth., 10, 790–806, <a href="https://doi.org/10.4319/lom.2012.10.790" target="_blank">https://doi.org/10.4319/lom.2012.10.790</a>, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
      Buck, C. S., Landing, W. M., Resing, J. A., and Lebon, G. T.: Aerosol iron and aluminum solubility in the northwest Pacific Ocean: Results from the 2002 IOC cruise, Geochem. Geophy. Geosy., 7, Q04M07, <a href="https://doi.org/10.1029/2005GC000977" target="_blank">https://doi.org/10.1029/2005GC000977</a>, 2006.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
      Buck, C. S., Landing, W. M., Resing, J. A., and Measures, C. I.: The solubility and deposition of aerosol Fe and other trace elements in the North Atlantic Ocean: Observations from the A16N CLIVAR/CO2 repeat hydrography section, Mar. Chem., 120, 57–70, <a href="https://doi.org/10.1016/j.marchem.2008.08.003" target="_blank">https://doi.org/10.1016/j.marchem.2008.08.003</a>, 2010a.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
      Buck, C. S., Landing, W. M., and Resing, J. A.: Particle size and aerosol iron solubility: A high-resolution analysis of Atlantic aerosols, Mar. Chem., 120, 14–24, <a href="https://doi.org/10.1016/j.marchem.2008.11.002" target="_blank">https://doi.org/10.1016/j.marchem.2008.11.002</a>, 2010b.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
      Buck, C. S., Landing, W. M., and Resing, J. A.: Pacific Ocean aerosols: Deposition and solubility of iron, aluminum, and other trace elements, Mar. Chem., 157, 117–130, <a href="https://doi.org/10.1016/j.marchem.2013.09.005" target="_blank">https://doi.org/10.1016/j.marchem.2013.09.005</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
      Buck, C. S., Aguilar-Islas, A., Marsay, C., Kadko, D., and Landing, W. M.: Trace element concentrations, elemental ratios, and enrichment factors observed in aerosol samples collected during the US GEOTRACES eastern Pacific Ocean transect (GP16), Chem. Geol., 511, 212–224, <a href="https://doi.org/10.1016/j.chemgeo.2019.01.002" target="_blank">https://doi.org/10.1016/j.chemgeo.2019.01.002</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
      
Carpenter, L. J., Fleming, Z. L., Read, K. A., Lee, J. D., Moller, S. J., Hopkins, J. R., Purvis, R. M., Lewis, A. C., Müller, K., Heinold, B., Herrmann, H., Fomba, K. W., van Pinxteren, D., Müller, C., Tegen, I., Wiedensohler, A., Müller, T., Niedermeier, N., Achterberg, E. P., Patey, M. D., Kozlova, E. A., Manning, A. J., and Wallace, D. W. R.: Seasonal characteristics of tropical marine boundary layer air measured at the Cape Verde Atmospheric Observatory, J. Atmos. Chem., 67, 87–140, <a href="https://doi.org/10.1007/s10874-011-9206-1" target="_blank">https://doi.org/10.1007/s10874-011-9206-1</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
      Chance, R., Jickells, T. D., and Baker, A. R.: Atmospheric trace metal concentrations, solubility and deposition fluxes in remote marine air over the south-east Atlantic, Mar. Chem., 177, 45–56, <a href="https://doi.org/10.1016/j.marchem.2015.06.028" target="_blank">https://doi.org/10.1016/j.marchem.2015.06.028</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
      Chang, C. Y., Wang, C. F., Mui, D. T., and Chiang, H. L.: Application of methods (sequential extraction procedures and high-pressure digestion method) to fly ash particles to determine the element constituents: A case study for BCR-176, J. Hazard. Mater., 163, 578–587, <a href="https://doi.org/10.1016/j.jhazmat.2008.07.039" target="_blank">https://doi.org/10.1016/j.jhazmat.2008.07.039</a>, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
      Chao, T. T. and Sanzolone, R. F.: Decomposition techniques, J. Geochem. Explor., 44, 65–106, <a href="https://doi.org/10.1016/0375-6742(92)90048-D" target="_blank">https://doi.org/10.1016/0375-6742(92)90048-D</a>, 1992.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
      Charlson, R. J., Lovelock, J. E., Andreae, M. O., and Warren, S. G.: Oceanic phytoplankton, atmospheric sulphur, cloud albedo and climate, Nature, 326, 655–661, <a href="https://doi.org/10.1038/326655a0" target="_blank">https://doi.org/10.1038/326655a0</a>, 1987.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
      Cheize, M., Sarthou, G., Croot, P. L., Bucciarelli, E., Baudoux, A. C., and Baker, A. R.: Iron organic speciation determination in rainwater using cathodic stripping voltammetry, Anal. Chim. Acta, 736, <a href="https://doi.org/10.1016/j.aca.2012.05.011" target="_blank">https://doi.org/10.1016/j.aca.2012.05.011</a>, 45–54, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
      Chen, Y. Z., Zhang, T. Y., Wang, Z. Y., Zhu, Z. M., Zhang, Y. F., Liu, M. Y., Wang, F., Ren, Y., Shi, G. L., Zhang, G. H., Wang, X. M., and Tang, M. J.: Sources of total and dissolved aerosol iron at Xi'an, Northwest China: implications for solubility of aerosol iron from different sources, J. Environ. Sci., 165, 29–37, <a href="https://doi.org/10.1016/j.jes.2025.06.066" target="_blank">https://doi.org/10.1016/j.jes.2025.06.066</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
      
Clough, R., Lohan, M. C., Ussher, S. J., Nimmo, M., and Worsfold, P. J.: Uncertainty associated with the leaching of aerosol filters for the determination of metals in aerosol particulate matter using collision/reaction cell ICP-MS detection, Talanta, 208, 120377, <a href="https://doi.org/10.1016/j.talanta.2019.02.067" target="_blank">https://doi.org/10.1016/j.talanta.2019.02.067</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
      Conway, T. M., Hamiliton, D. S., Shelley, R. U., Aguilar-Islas, A. M., Landing, W. M., Mahowald, N. M., and John, S. G.: Tracing and constraining anthropogenic aerosol iron fluxes to the North Atlantic Ocean using iron isotopes, Nat. Commun., 10, 2628, <a href="https://doi.org/10.1038/s41467-019-10457-w" target="_blank">https://doi.org/10.1038/s41467-019-10457-w</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
      Cui, W., Song, X., Su, Y., Chen, X., Wu, D., and Li, Q.: Soluble iron in source-based anthropogenic PM<sub>2.5</sub> predominantly from steel industry and residential combustion in China, Geophys. Res. Lett., 52, e2025GL118603, <a href="https://doi.org/10.1029/2025GL118603" target="_blank">https://doi.org/10.1029/2025GL118603</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
      Desboeufs, K. V., Losno, R., and Colin, J. L.: Factors influencing aerosol solubility during cloud processes, Atmos. Environ., 35, 3529–3537, <a href="https://doi.org/10.1016/S1352-2310(00)00472-6" target="_blank">https://doi.org/10.1016/S1352-2310(00)00472-6</a>, 2001.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
      Desboeufs, K., Formenti, P., Torres-Sánchez, R., Schepanski, K., Chaboureau, J.-P., Andersen, H., Cermak, J., Feuerstein, S., Laurent, B., Klopper, D., Namwoonde, A., Cazaunau, M., Chevaillier, S., Feron, A., Mirande-Bret, C., Triquet, S., and Piketh, S. J.: Fractional solubility of iron in mineral dust aerosols over coastal Namibia: a link to marine biogenic emissions?, Atmos. Chem. Phys., 24, 1525–1541, <a href="https://doi.org/10.5194/acp-24-1525-2024" target="_blank">https://doi.org/10.5194/acp-24-1525-2024</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
      Duvall, R. M., Majestic, B. J., Shafer, M. M., Chuang, P. Y., Simoneit, B. R. T., and Schauer, J. J.: The water-soluble fraction of carbon, sulfur, and crustal elements in Asian aerosols and Asian soils, Atmos. Environ., 42, 5872–5884, <a href="https://doi.org/10.1016/j.atmosenv.2008.03.028" target="_blank">https://doi.org/10.1016/j.atmosenv.2008.03.028</a>, 2008.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
      Fairlie, T. D., Jacob, D. J., Dibb, J. E., Alexander, B., Avery, M. A., van Donkelaar, A., and Zhang, L.: Impact of mineral dust on nitrate, sulfate, and ozone in transpacific Asian pollution plumes, Atmos. Chem. Phys., 10, 3999–4012, <a href="https://doi.org/10.5194/acp-10-3999-2010" target="_blank">https://doi.org/10.5194/acp-10-3999-2010</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
      Fitzgerald, E., Ault, A. P., Zauscher, M. D., Mayol-Bracero, O. L., and Prather, K. A.: Comparison of the mixing state of long-range transported Asian and African mineral dust, Atmos. Environ., 115, 19–25, <a href="https://doi.org/10.1016/j.atmosenv.2015.04.031" target="_blank">https://doi.org/10.1016/j.atmosenv.2015.04.031</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
      Fomba, K. W., Müller, K., van Pinxteren, D., and Herrmann, H.: Aerosol size-resolved trace metal composition in remote northern tropical Atlantic marine environment: case study Cape Verde islands, Atmos. Chem. Phys., 13, 4801–4814, <a href="https://doi.org/10.5194/acp-13-4801-2013" target="_blank">https://doi.org/10.5194/acp-13-4801-2013</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
      Gitari, W. M., Fatoba, O. O., Petrik, L. F., and Vadapalli, V. R. K.: Leaching characteristics of selected south African fly ashes: Effect of pH on the release of major and trace species, J. Environ. Sci. Hlth. A, 44, 206–220, <a href="https://doi.org/10.1080/10934520802539897" target="_blank">https://doi.org/10.1080/10934520802539897</a>, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
      Guo, H., Sullivan, A. P., Campuzano-Jost, P., Schroder, J. C., Lopez-Hilfiker, F. D., Dibb, J. E., Jimenez, J. L., Thornton, J. A., Brown, S. S., Nenes, A., and Weber, R. J.: Fine particle pH and the partitioning of nitric acid during winter in the northeastern United States, J. Geophys. Res.-Atmos., 121, 10355–10376, <a href="https://doi.org/10.1002/2016JD025311" target="_blank">https://doi.org/10.1002/2016JD025311</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
      Guo, H., Nenes, A., and Weber, R. J.: The underappreciated role of nonvolatile cations in aerosol ammonium-sulfate molar ratios, Atmos. Chem. Phys., 18, 17307–17323, <a href="https://doi.org/10.5194/acp-18-17307-2018" target="_blank">https://doi.org/10.5194/acp-18-17307-2018</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
      Halle, L. L., Palmqvist, A., Kampmann, K., Jensen, A., Hansen, T., and Khan, F. R.: Tire wear particle and leachate exposures from a pristine and road-worn tire to Hyalella azteca: Comparison of chemical content and biological effects, Aquat. Toxicol., 232, 105769, <a href="https://doi.org/10.1016/j.aquatox.2021.105769" target="_blank">https://doi.org/10.1016/j.aquatox.2021.105769</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
      Hamilton, D. S., Scanza, R. A., Feng, Y., Guinness, J., Kok, J. F., Li, L., Liu, X., Rathod, S. D., Wan, J. S., Wu, M., and Mahowald, N. M.: Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0), Geosci. Model Dev., 12, 3835–3862, <a href="https://doi.org/10.5194/gmd-12-3835-2019" target="_blank">https://doi.org/10.5194/gmd-12-3835-2019</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
      Harrison, R. M., Jones, A. M., Gietl, J., Yin, J., Green, and D. C.: Estimation of the contributions of brake dust, tire wear, and resuspension to nonexhaust traffic particles derived from atmospheric measurements, Environ. Sci. Technol.,  46, 6523–6529, <a href="https://doi.org/10.1021/es300894r" target="_blank">https://doi.org/10.1021/es300894r</a>, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
      Hsieh, C. C., You, C. F., and Ho, T. Y.: The solubility and deposition flux of East Asian aerosol metals in the East China Sea: The effects of aeolian transport processes, Mar. Chem., 253, 104268, <a href="https://doi.org/10.1016/j.marchem.2023.104268" target="_blank">https://doi.org/10.1016/j.marchem.2023.104268</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
      Huang, S. J., Chang, C. Y., Mui, D. T., Chang, F. C., Lee, M. Y., and Wang, C. F.: Sequential extraction for evaluating the leaching behavior of selected elements in municipal solid waste incineration fly ash, J. Hazard. Mater., 149, 180–188, <a href="https://doi.org/10.1016/j.jhazmat.2007.03.067" target="_blank">https://doi.org/10.1016/j.jhazmat.2007.03.067</a>, 2007.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation>
      Ito, A.: Global modeling study of potentially bioavailable iron input from shipboard aerosol sources to the ocean, Global Biogeochem. Cy., 27, 1–10, <a href="https://doi.org/10.1029/2012GB004378" target="_blank">https://doi.org/10.1029/2012GB004378</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation>
       Ito, A. and Feng, Y.: Role of dust alkalinity in acid mobilization of iron, Atmos. Chem. Phys., 10, 9237–9250, <a href="https://doi.org/10.5194/acp-10-9237-2010" target="_blank">https://doi.org/10.5194/acp-10-9237-2010</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation>
      Ito, A. and Miyakawa, T.: Aerosol iron from metal production as a secondary source of bioaccessible iron, Environ. Sci. Technol., 57, 4091–4100, <a href="https://doi.org/10.1021/acs.est.2c06472" target="_blank">https://doi.org/10.1021/acs.est.2c06472</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>45</label><mixed-citation>
      Ito, A., Myriokefalitakis, S., Kanakidou, M., Mahowald, N. M., Scanza, R. A., Hamilton, D. S., Baker, A. R., Jickells, T. D., Sarin, M. M., Bikkina, S., Gao, Y., Shelley, R. U., Buck, C. S., Landing, W. M., Bowie, A. R., Perron, M. M. G., Guieu, C., Meskhidze, N., Johnson, M. S., Feng, Y., Kok, J. F., Nenes, A., and Duce, R. A.: Pyrogenic iron: The missing link to high iron solubility in aerosols, Sci. Adv., 5, eaau7671, <a href="https://doi.org/10.1126/sciadv.aau7671" target="_blank">https://doi.org/10.1126/sciadv.aau7671</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>46</label><mixed-citation>
      Ito, A., Ye, Y., Baldo, C., and Shi, Z.: Ocean fertilization by pyrogenic aerosol iron, npj Clim. Atmos. Sci., 4, 30, <a href="https://doi.org/10.1038/s41612-021-00185-8" target="_blank">https://doi.org/10.1038/s41612-021-00185-8</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>47</label><mixed-citation>
      Jickells, T. D., An, Z. S., Andersen, K. K., Baker, A. R., Bergametti, G., Brooks, N., Cao, J. J., Boyd, P. W., Duce, R. A., Hunter, K. A., Kawahata, H., Kubilay, N., LaRoche, J., Liss, P. S., Mahowald, N. M., Prospero, J. M., Ridgwell, and A. J., Tegen, I., and Torres, R.: Global iron connections between desert dust, ocean biogeochemistry, and climate, Science, 308, 67–71, <a href="https://doi.org/10.1126/science.1105959" target="_blank">https://doi.org/10.1126/science.1105959</a>, 2005.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>48</label><mixed-citation>
      Jin, X., Gruber, N., Frenzel, H., Doney, S. C., and McWilliams, J. C.: The impact on atmospheric CO<sub>2</sub> of iron fertilization induced changes in the ocean's biological pump, Biogeosciences, 5, 385–406, <a href="https://doi.org/10.5194/bg-5-385-2008" target="_blank">https://doi.org/10.5194/bg-5-385-2008</a>, 2008.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>49</label><mixed-citation>
      Journet, E., Desboeufs, K. V., Caquineau, S., and Colin, J. L.: Mineralogy as a critical factor of dust iron solubility, Geophys. Res. Lett., 35, L07805, <a href="https://doi.org/10.1029/2007GL031589" target="_blank">https://doi.org/10.1029/2007GL031589</a>, 2008.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>50</label><mixed-citation>
      Kajino, M., Hagino, H., Fujitani, Y., Morikawa, T., Fukui, T., Onishi, K., Okuda, T., Kajikawa, T., and Igarashi, Y.: Modeling transition metals in East Asia and Japan and its emission sources, GeoHealth, 4, e2020GH000259, <a href="https://doi.org/10.1029/2020GH000259" target="_blank">https://doi.org/10.1029/2020GH000259</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>51</label><mixed-citation>
      Kanakidou, M., Myriokefalitakis, S., and Tsigaridis, K.: Aerosols in atmospheric chemistry and biogeochemical cycles of nutrients, Environ. Res. Lett., 13, 063004, <a href="https://doi.org/10.1088/1748-9326/aabcdb" target="_blank">https://doi.org/10.1088/1748-9326/aabcdb</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>52</label><mixed-citation>
      Kawai, K., Matsui, H., and Tobo, Y.: High potential of Asian dust to act as ice nucleating particles in mixed-phase clouds simulated with a global aerosol-climate model, J. Geophys. Res.-Atmos., 126, e2020JD034263, <a href="https://doi.org/10.1029/2020JD034263" target="_blank">https://doi.org/10.1029/2020JD034263</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>53</label><mixed-citation>
      Kieber, R. J., Willey, J. D., and Broooks Avery Jr., G.: Temporal variability of rainwater iron speciation at the Bermuda Atlantic Time Series Station, J. Geophys. Res.-Oceans, 108, 3277, <a href="https://doi.org/10.1029/2001JC001031" target="_blank">https://doi.org/10.1029/2001JC001031</a>, 2003.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>54</label><mixed-citation>
      Kim, A. G., Kazonich, G., and Dahlberg, M.: Relative solubility of cations in class F fly ash, Environ. Sci. Technol., 37, 4507–4511, <a href="https://doi.org/10.1021/es0263691" target="_blank">https://doi.org/10.1021/es0263691</a>, 2003.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>55</label><mixed-citation>
      Kodama, H. and Schnitzer, M.: Dissolution of chlorite minerals by fulvic acid, Can. J. Soil Sci., 53, 240–243, <a href="https://doi.org/10.4141/cjss73-036" target="_blank">https://doi.org/10.4141/cjss73-036</a>, 1973.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>56</label><mixed-citation>
      Komonweeraket, K., Cetin, B., Aydilek, A. H., Benson, C. H., and Edil, T. B.: Effects of pH on the leaching mechanisms of elements from fly ash mixed soils, Fuel, 140, 788–802, <a href="https://doi.org/10.1016/j.fuel.2014.09.068" target="_blank">https://doi.org/10.1016/j.fuel.2014.09.068</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>57</label><mixed-citation>
      Krishnamurthy, A., Moore, J. K., Mahowald, N., Luo, C., Doney, S., Linday, K., and Zender, C. S.: Impacts of increasing anthropogenic soluble iron and nitrogen deposition on ocean biogeochemistry, Global Biogeochem. Cy., 23, GB3016, <a href="https://doi.org/10.1029/2008GB003440" target="_blank">https://doi.org/10.1029/2008GB003440</a>, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>58</label><mixed-citation>
      Kurisu, M. and Takahashi, Y.: Testing iron stable isotope ratios as signature of biomass burning, Atmosphere, 10, 76, <a href="https://doi.org/10.3390/atmos10020076" target="_blank">https://doi.org/10.3390/atmos10020076</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>59</label><mixed-citation>
      Kurisu, M., Adachi, K., Sakata, K., and Takahashi, Y.: Stable isotope ratios of combustion iron produced by evaporation in a steel plant, ACS Earth Space Chem., 3, 588–598, <a href="https://doi.org/10.1021/acsearthspacechem.8b00171" target="_blank">https://doi.org/10.1021/acsearthspacechem.8b00171</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>60</label><mixed-citation>
      Kurisu, M., Sakata, K., Uematsu, M., Ito, A., and Takahashi, Y.: Contribution of combustion Fe in marine aerosols over the northwestern Pacific estimated by Fe stable isotope ratios, Atmos. Chem. Phys., 21, 16027–16050, <a href="https://doi.org/10.5194/acp-21-16027-2021" target="_blank">https://doi.org/10.5194/acp-21-16027-2021</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>61</label><mixed-citation>
      Kurisu, M., Sakata, K., Nishioka, J., Obata, H., Conway, T. M., Hunt, H. R., Sieber, M., Suzuki, K., Kashiwabara, T., Kubo, S., Takada, M., and Takahashi, Y.: Source and fate of atmospheric iron supplied to the subarctic North Pacific traced by stable iron isotope ratios, Geochim. Cosmochim. Ac., 378, 168–185, <a href="https://doi.org/10.1016/j.gca.2024.06.009" target="_blank">https://doi.org/10.1016/j.gca.2024.06.009</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>62</label><mixed-citation>
      Kurisu, M., Zhu, C., Miyakawa, T., Ito, A., Suzuki, K., and Kashiwabara, T.: Identification of anthropogenic Fe originated from East Asia using Fe stable isotope ratios of aerosols collected on Fukue Island, Atmos. Environ., 373, 121893, <a href="https://doi.org/10.1016/j.atmosenv.2026.121893" target="_blank">https://doi.org/10.1016/j.atmosenv.2026.121893</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>63</label><mixed-citation>
      
Kurokawa, J. and Ohara, T.: Long-term historical trends in air pollutant emissions in Asia: Regional Emission inventory in ASia (REAS) version 3, Atmos. Chem. Phys., 20, 12761–12793, <a href="https://doi.org/10.5194/acp-20-12761-2020" target="_blank">https://doi.org/10.5194/acp-20-12761-2020</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>64</label><mixed-citation>
      Labatut, M., Lacan, F., Pradoux, C., Chmeleff, J., Radic, A., Murray, J. W., Poitrasson, F., Johansen, A. M., and Thil, F.: Iron sources and dissolved-particulate interactions in the seawater of the Western Equatorial Pacific, iron isotope perspectives, Global Biogeochem. Cy., 28, 1044–1065, <a href="https://doi.org/10.1002/2014GB004928" target="_blank">https://doi.org/10.1002/2014GB004928</a>, 2014.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>65</label><mixed-citation>
      Li, T., Wang, Y., Li, W. J., Chen, J. M., Wang, T., and Wang, W. X.: Concentrations and solubility of trace elements in fine particles at a mountain site, southern China: regional sources and cloud processing, Atmos. Chem. Phys., 15, 8987–9002, <a href="https://doi.org/10.5194/acp-15-8987-2015" target="_blank">https://doi.org/10.5194/acp-15-8987-2015</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>66</label><mixed-citation>
      Li, W., Xu, L., Liu, X., Zhang, J., Lin, Y., Yao, X., Gao, H., Zhang, D., Chen, J., Wang, W., Harrison, R., Shao, L., Fu, P., Nenes, A., and Shi, Z.: Air pollution–aerosol interactions produce more bioavailable iron for ocean ecosystems, Sci. Adv., 3, e1601749, <a href="https://doi.org/10.1126/sciadv.1601749" target="_blank">https://doi.org/10.1126/sciadv.1601749</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>67</label><mixed-citation>
      
Liu, X., Turner, J. R.., Hand, J. L., Schichtel, B. A., and Martin, R. V.: A global-scale mineral dust equation, J. Geophys. Res.-Atmos., 127, e2022JD036937, <a href="https://doi.org/10.1029/2022JD036937" target="_blank">https://doi.org/10.1029/2022JD036937</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>68</label><mixed-citation>
      Lowson, R. T., Comarmond, J., Rajaratnam, G., and Brown, P. L.: The kinetics of the dissolution of chlorite as a function of pH and at 25&thinsp;°C, Geochim. Cosmochim. Ac., 69, 1687–1699, <a href="https://doi.org/10.1016/j.gca.2004.09.028" target="_blank">https://doi.org/10.1016/j.gca.2004.09.028</a>, 2005.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>69</label><mixed-citation>
      Luo, C., Wang, W., Sheng, L., Zhou, Y., Hu, Z., Qu, W., Li, X., and Hai, S.: Influence of polluted dust on chlorophyll-a concentration and particulate organic carbon in the subarctic North Pacific Ocean based on satellite observation and the WRF-Chem simulation, Atmos. Res., 236, 104812, <a href="https://doi.org/10.1016/j.atmosres.2019.104812" target="_blank">https://doi.org/10.1016/j.atmosres.2019.104812</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>70</label><mixed-citation>
      Ma, Q., Cai, S., Wang, S., Zhao, B., Martin, R. V., Brauer, M., Cohen, A., Jiang, J., Zhou, W., Hao, J., Frostad, J., Forouzanfar, M. H., and Burnett, R. T.: Impacts of coal burning on ambient PM<sub>2.5</sub> pollution in China, Atmos. Chem. Phys., 17, 4477–4491, <a href="https://doi.org/10.5194/acp-17-4477-2017" target="_blank">https://doi.org/10.5194/acp-17-4477-2017</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>71</label><mixed-citation>
      Mahowald, N. M., Engelstaedter, S., Luo, C., Sealy, A., Artaxo, P., Benitez-Nelson, C., Bonnet, S., Chen, Y., Chuang, P. Y., Cohen, D. D., Dulac, F., Herut, B., Johansen, A. M., Kubilay, N., Losno, R., Maenhaut, W., Paytan, A., Prospero, J. M., Shank, L. M., and Siefert, R. L.: Atmospheric iron deposition: Global distribution, variability and human perturbations, Annu. Rev. Mar. Sci., 1, 245–278, <a href="https://doi.org/10.1146/annurev.marine.010908.163727" target="_blank">https://doi.org/10.1146/annurev.marine.010908.163727</a>, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>72</label><mixed-citation>
      Mahowald, N. M., Hamilton, D. S., Mackey, K. R. M., Moore, J. K., Baker, A. R., Scanza, R. A., and Zhang, Y.: Aerosol trace metal leaching and impacts on marine microorganisms, Nat. Commun., 9, 1–15, <a href="https://doi.org/10.1038/s41467-018-04970-7" target="_blank">https://doi.org/10.1038/s41467-018-04970-7</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>73</label><mixed-citation>
      Marsay, C. M., Kadko, D., Landing, W. M., and Buck, C.: Bulk aerosol trace element concentrations and deposition fluxes during the U.S, GEOTRACES GP15 Pacific meridional transect, Global Biogeochem. Cy., 36, e2021GB007122, <a href="https://doi.org/10.1029/2021GB007122" target="_blank">https://doi.org/10.1029/2021GB007122</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>74</label><mixed-citation>
      Martin, J. H.: Glacial-interglacial CO<sub>2</sub> change: The iron hypothesis, Paleoceanography, 5, 1–13, <a href="https://doi.org/10.1029/PA005i001p00001" target="_blank">https://doi.org/10.1029/PA005i001p00001</a>, 1990.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>75</label><mixed-citation>
      Martin, J. H. and Fitzwater, S. E.: Iron deficiency limits phytoplankton growth in the north-east Pacific subarctic, Nature, 331, 341–343, <a href="https://doi.org/10.1038/331341a0" target="_blank">https://doi.org/10.1038/331341a0</a>, 1988.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>76</label><mixed-citation>
      Martin, J. H., Coale, K. H., Johnson, K. S., Fitzwater, S. E., Gordon, R. M., Tanner, S. J., Hunter, C. N., Elrod, V. A., Nowicki, J. L., Coley, T. L., Barber, R. T., Lindley, S., Watson, A. J., Van Scoy, K., Law, C. S., Liddicoat, M. I., Ling, R., Stanton, T., Stockel, J., Collins, C., Anderson, A., Bidigare, R., Ondrusek, M., Latasa, J., Millero, F. J., Lee, K., Yao, W., Zhang, J.-Z., Friederich, G., Sakamoto, C., Chavez, F., Buck, K., Kolber, Z., Greene, R., Falkowski, P., Chisholm, S. W., Hoge, F., and Tindale, N. W.: Testing the iron hypothesis in ecosystems of the equatorial Pacific Ocean, Nature, 371, 123–129, <a href="https://doi.org/10.1038/371123a0" target="_blank">https://doi.org/10.1038/371123a0</a>, 1994.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib77"><label>77</label><mixed-citation>
      Maters, E. C., Delmelle, P., and Bonneville, S.: Atmospheric processing of volcanic glass: Effects on iron solubility and redox speciation, Environ. Sci. Technol., 50, 5033–5040, <a href="https://doi.org/10.1021/acs.est.5b06281" target="_blank">https://doi.org/10.1021/acs.est.5b06281</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib78"><label>78</label><mixed-citation>
      Meskhidze, N., Chameides, W. L., and Nenes, A.: Dust and pollution: A recipe for enhanced ocean fertilization?, J. Geophys. Res., 110, D03301, <a href="https://doi.org/10.1029/2004JD005082" target="_blank">https://doi.org/10.1029/2004JD005082</a>, 2005.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib79"><label>79</label><mixed-citation>
      Mitra, A. and Rimstidt, J. D.: Solubility and dissolution rate of silica in acid fluoride solutions, Geochim. Cosmochim. Ac., 73, 7045–7059, <a href="https://doi.org/10.1016/j.gca.2009.08.027" target="_blank">https://doi.org/10.1016/j.gca.2009.08.027</a>, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib80"><label>80</label><mixed-citation>
      Miyamoto, C., Sakata, K., Yamakawa, Y., and Takahashi, Y.: Determination of calcium and sulfate species in aerosols associated with the conversion of its species through reaction processes in the atmosphere and its influence on cloud condensation nuclei activation, Atmos. Environ., 223, 117193, <a href="https://doi.org/10.1016/j.atmosenv.2019.117193" target="_blank">https://doi.org/10.1016/j.atmosenv.2019.117193</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib81"><label>81</label><mixed-citation>
      Morton, P. L., Landing, W. M., Hsu, S. C., Milne, A., Aguilar-Islas, A. M., and Baker, A. R.: Methods for the sampling and analysis of marine aerosols: results from the 2008 GEOTRACES aerosol intercalibration experiment, Limnol. Oceanogr. Meth., 11, 62–78, <a href="https://doi.org/10.4319/lom.2013.11.62" target="_blank">https://doi.org/10.4319/lom.2013.11.62</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib82"><label>82</label><mixed-citation>
      Muhs, D. R.: The geologic records of dust in the Quaternary, Aeolian Res., 9, 3–48, <a href="https://doi.org/10.1016/j.aeolia.2012.08.001" target="_blank">https://doi.org/10.1016/j.aeolia.2012.08.001</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib83"><label>83</label><mixed-citation>
      Oakes, M., Ingall, E. D., Lai, B., Shafer, M. M., Hays, M. D., Liu, Z. G., Russell, A. G., and Weber, R. J.: Iron solubility related to particle sulfur content in source emission and ambient fine particles, Environ. Sci. Technol., 46, 6637–6644, <a href="https://doi.org/10.1021/es300701c" target="_blank">https://doi.org/10.1021/es300701c</a>, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib84"><label>84</label><mixed-citation>
      Olgun, N., Duggen, S., Croot, P. L., Delmelle, P., Dietze, H., and Schacht, U.: Surface ocean iron fertilization: The role of airborne volcanic ash from subduction zone and hot spot volcanoes and related iron fluxes into the Pacific Ocean, Global Biogeochem. Cy., 36, GB4001, <a href="https://doi.org/10.1029/2009GB003761" target="_blank">https://doi.org/10.1029/2009GB003761</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib85"><label>85</label><mixed-citation>
      Paris, R. and Desboeufs, K. V.: Effect of atmospheric organic complexation on iron-bearing dust solubility, Atmos. Chem. Phys., 13, 4895–4905, <a href="https://doi.org/10.5194/acp-13-4895-2013" target="_blank">https://doi.org/10.5194/acp-13-4895-2013</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib86"><label>86</label><mixed-citation>
      Paris, R., Desboeufs, K. V., and Journet, E.: Variability of dust iron solubility in atmospheric waters: Investigation of the role of oxalate organic complexation, Atmos. Environ., 45, 6510–6517, <a href="https://doi.org/10.1016/j.atmosenv.2011.08.068" target="_blank">https://doi.org/10.1016/j.atmosenv.2011.08.068</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib87"><label>87</label><mixed-citation>
      Patey, M. D., Achterberg, E. P., Rijkenberg, M. J., and Pearce, R.: Aerosol time-series measurements over the tropical Northeast Atlantic Ocean: Dust sources, elemental composition and mineralogy, Mar. Chem., 174, 103–119, <a href="https://doi.org/10.1016/j.marchem.2015.06.004" target="_blank">https://doi.org/10.1016/j.marchem.2015.06.004</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib88"><label>88</label><mixed-citation>
      Perron, M. M. G., Proemse, B. C., Strzelec, M., Gault-Ringold, M., Boyd, P. W., Rodriguez, E. S., Paull, B., and Bowie, A. R.: Origin, transport and deposition of aerosol iron to Australian coastal waters, Atmos. Environ., 228, 117432, <a href="https://doi.org/10.1016/j.atmosenv.2020.117432" target="_blank">https://doi.org/10.1016/j.atmosenv.2020.117432</a>, 2020a.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib89"><label>89</label><mixed-citation>
      Perron, M. M. G., Strzelec, M., Gault-Ringold, M., Proemse, B. C., Boyd, P. W., and Bowie, A. R.: Assessment of leaching protocols to determine the solubility of trace metals in aerosols, Talanta, 208, 120377, <a href="https://doi.org/10.1016/j.talanta.2019.120377" target="_blank">https://doi.org/10.1016/j.talanta.2019.120377</a>, 2020b.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib90"><label>90</label><mixed-citation>
      Perron, M. M. G., Proemse, B. C., Strzelec, M., Gault-Ringold, M., and Bowie, A. R.: Atmospheric inputs of volcanic iron around Heard and McDonald Islands, Southern ocean, Environ. Sci. Atmos., 1, 508, <a href="https://doi.org/10.1039/D1EA00054C" target="_blank">https://doi.org/10.1039/D1EA00054C</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib91"><label>91</label><mixed-citation>
      Praharaj, T., Powell, M. A., Hart, B. R., and Tripathy, S.: Leachability of elements from sub-bituminous coal fly ash from India, Environ. Int., 27, 609–615, <a href="https://doi.org/10.1016/S0160-4120(01)00118-0" target="_blank">https://doi.org/10.1016/S0160-4120(01)00118-0</a>, 2002.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib92"><label>92</label><mixed-citation>
      
Pye, H. O. T., Nenes, A., Alexander, B., Ault, A. P., Barth, M. C., Clegg, S. L., Collett Jr., J. L., Fahey, K. M., Hennigan, C. J., Herrmann, H., Kanakidou, M., Kelly, J. T., Ku, I.-T., McNeill, V. F., Riemer, N., Schaefer, T., Shi, G., Tilgner, A., Walker, J. T., Wang, T., Weber, R., Xing, J., Zaveri, R. A., and Zuend, A.: The acidity of atmospheric particles and clouds, Atmos. Chem. Phys., 20, 4809–4888, <a href="https://doi.org/10.5194/acp-20-4809-2020" target="_blank">https://doi.org/10.5194/acp-20-4809-2020</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib93"><label>93</label><mixed-citation>
      Rathod, S. D., Hamilton, D. S., Mahowald, N. M., Klimont, Z., Vorbett, J. J., and Bond, T. C.: A mineralogy-based anthropogenic combustion-iron emission inventory, J. Geophys. Res.-Atmos., 125, e2019JD032114, <a href="https://doi.org/10.1029/2019JD032114" target="_blank">https://doi.org/10.1029/2019JD032114</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib94"><label>94</label><mixed-citation>
      Rathod, S. D., Hamilton, D. S., Nino, L. L., Kreidenweis, S. M., Bian, Q., Mahowald, N. M., Alastuey, A., Querol, X., Paytan, A., Artaxo, P., Herut, B., Gaston, C., Prospero, J., Chellam, S., Hueglin, C., Varrica, D., Dongarra, G., Cohen, D. D., Smichowski, P., Gomez, D., Lambert, F., Barraza, F., Bergametti, G., Rodríguez, S., Gonzalez-Ramos, Y., Hand, J., Kyllönen, K., Hakola, H., Chuang, P. Y., Hopke, P. K., Harrison, R. M., Martin, R. V., Walsh, B., Weagle, C., Maenhaut, W., Morera-Gómez, Y., Chen, Y. C., Pierce, J. R., and Bond, T. C.: Constraining present-day anthropogenic total iron emission using model and observations, J. Geophys. Res.-Atmos., 129, e2023JD040332, <a href="https://doi.org/10.1029/2023JD040332" target="_blank">https://doi.org/10.1029/2023JD040332</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib95"><label>95</label><mixed-citation>
      Rudnick, R. L.  and Gao, S.: Composition of the continental crust, Treatise on Geochemistry, 3, 1–64, 2003.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib96"><label>96</label><mixed-citation>
      Sakata, K., Kurisu, M., Tanimoto, H., Sakaguchi, A., Uematsu, M., Miyamoto, C., and Takahashi, Y.: Custom-made PTFE filters for ultra-clean size-fractionated aerosol sampling for trace metals, Mar. Chem., 206, 100–108, <a href="https://doi.org/10.1016/j.marchem.2018.09.009" target="_blank">https://doi.org/10.1016/j.marchem.2018.09.009</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib97"><label>97</label><mixed-citation>
      Sakata, K., Kurisu, M., Takeichi, Y., Sakaguchi, A., Tanimoto, H., Tamenori, Y., Matsuki, A., and Takahashi, Y.: Iron (Fe) speciation in size-fractionated aerosol particles in the Pacific Ocean: The role of organic complexation of Fe with humic-like substances in controlling Fe solubility, Atmos. Chem. Phys., 22, 9461–9482, <a href="https://doi.org/10.5194/acp-22-9461-2022" target="_blank">https://doi.org/10.5194/acp-22-9461-2022</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib98"><label>98</label><mixed-citation>
      Sakata, K., Sakaguchi, A., Yamakawa, Y., Miyamoto, C., Kurisu, M., and Takahashi, Y.: Measurement report: Stoichiometry of dissolved iron and aluminum as an indicator of the factors controlling the fractional solubility of aerosol iron – results of the annual observations of size-fractionated aerosol particles in Japan, Atmos. Chem. Phys., 23, 9815–9836, <a href="https://doi.org/10.5194/acp-23-9815-2023" target="_blank">https://doi.org/10.5194/acp-23-9815-2023</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib99"><label>99</label><mixed-citation>
      Sakata, K., Takano, S., Matsuki, A., Takeichi, Y., Tanimoto, H., Sakaguchi, A., Kurisu, M., and Takahashi, Y.: Atmospheric chemistry in East Asia determines the iron solubility of aerosol particles supplied to the North Pacific Ocean, Atmos. Chem. Phys., 25, 11087–11107, <a href="https://doi.org/10.5194/acp-25-11087-2025" target="_blank">https://doi.org/10.5194/acp-25-11087-2025</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib100"><label>100</label><mixed-citation>
      
Sakata, K., Kurisu, M., and Takahashi, Y.: Dataset for Assessment of Aerosol Iron Solubility using Global Dataset Part I [Dataset]. In Assessment of aerosol iron (Fe) solubility using global dataset, Part I: Mechanisms underlying the inverse relationship between Fe solubility and Fe concentration, Zenodo [data set], <a href="https://doi.org/10.5281/zenodo.22703287" target="_blank">https://doi.org/10.5281/zenodo.22703287</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib101"><label>101</label><mixed-citation>
      Scanza, R. A., Hamilton, D. S., Perez Garcia-Pando, C., Buck, C., Baker, A., and Mahowald, N. M.: Atmospheric processing of iron in mineral and combustion aerosols: development of an intermediate-complexity mechanism suitable for Earth system models, Atmos. Chem. Phys., 18, 14175–14196, <a href="https://doi.org/10.5194/acp-18-14175-2018" target="_blank">https://doi.org/10.5194/acp-18-14175-2018</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib102"><label>102</label><mixed-citation>
      Schlitzer, R.: Ocean Data View, <a href="https://odv.awi.de" target="_blank"/> (last access: 19 September 2026), 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib103"><label>103</label><mixed-citation>
      Schroth, A. W., Crusius, J., Sholkovitz, E. R., and Bostick, B. C.: Iron solubility driven by speciation in dust sources to the ocean, Nat. Geosci., 2, 337–340, <a href="https://doi.org/10.1038/ngeo501" target="_blank">https://doi.org/10.1038/ngeo501</a>, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib104"><label>104</label><mixed-citation>
      Sedwick, P. N., Sholkovitz, E. R., and Church, T. M.: Impact of anthropogenic combustion emissions on the fractional solubility of aerosol iron: Evidence from the Sargasso Sea, Geochem. Geophy. Geosy., 8, Q10Q06, <a href="https://doi.org/10.1029/2007GC001586" target="_blank">https://doi.org/10.1029/2007GC001586</a>, 2007.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib105"><label>105</label><mixed-citation>
      Seidel, A. and Zimmels, Y.: Mechanism and kinetics of aluminium and iron leaching from coal fly ash by sulfuric acid, Chem. Eng. Sci., 53, 3535–3852, <a href="https://doi.org/10.1016/S0009-2509(98)00201-2" target="_blank">https://doi.org/10.1016/S0009-2509(98)00201-2</a>, 1998.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib106"><label>106</label><mixed-citation>
      Seo, H. and Kim, G.: Anthropogenic iron invasion into the ocean: Results from the East Sea (Japan Sea), Environ. Sci. Technol., 57, 10745–10753, <a href="https://doi.org/10.1021/acs.est.3c01084" target="_blank">https://doi.org/10.1021/acs.est.3c01084</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib107"><label>107</label><mixed-citation>
      
Shah, V., Jacob, D. J., Moch, J. M., Wang, X., and Zhai, S.: Global modeling of cloud water acidity, precipitation acidity, and acid inputs to ecosystems, Atmos. Chem. Phys., 20, 12223–12245, <a href="https://doi.org/10.5194/acp-20-12223-2020" target="_blank">https://doi.org/10.5194/acp-20-12223-2020</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib108"><label>108</label><mixed-citation>
      Shelley, R. U., Landing, W. M., Ussher, S. J., Planquette, H., and Sarthou, G.: Regional trends in the fractional solubility of Fe and other metals from North Atlantic aerosols (GEOTRACES cruises GA01 and GA03) following a two-stage leach, Biogeosciences, 15, 2271–2288, <a href="https://doi.org/10.5194/bg-15-2271-2018" target="_blank">https://doi.org/10.5194/bg-15-2271-2018</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib109"><label>109</label><mixed-citation>
       Shi, Z. B., Woodhouse, M. T., Carslaw, K. S., Krom, M. D., Mann, G. W., Baker, A. R., Savov, I., Fones, G. R., Brooks, B., Drake, N., Jickells, T. D., and Benning, L. G.: Minor effect of physical size sorting on iron solubility of transported mineral dust, Atmos. Chem. Phys., 11, 8459–8469, <a href="https://doi.org/10.5194/acp-11-8459-2011" target="_blank">https://doi.org/10.5194/acp-11-8459-2011</a>, 2011a.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib110"><label>110</label><mixed-citation>
       Shi, Z., Bonneville, S., Krom, M. D., Carslaw, K. S., Jickells, T. D., Baker, A. R., and Benning, L. G.: Iron dissolution kinetics of mineral dust at low pH during simulated atmospheric processing, Atmos. Chem. Phys., 11, 995–1007, <a href="https://doi.org/10.5194/acp-11-995-2011" target="_blank">https://doi.org/10.5194/acp-11-995-2011</a>, 2011b.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib111"><label>111</label><mixed-citation>
      
Shi, Z., Krom, M. D., Bonneville, S., and Benning, L. G.: Atmospheric processing outside clouds increases soluble iron in mineral dust, Environ. Sci. Technol., 49, 1472–1477, <a href="https://doi.org/10.1021/es504623x" target="_blank">https://doi.org/10.1021/es504623x</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib112"><label>112</label><mixed-citation>
      Sholkovitz, E. R., Sedwick, P. N., and Church, T. M.: Influence of anthropogenic combustion emissions on the deposition of soluble aerosol iron to the ocean: Empirical estimates for island sites in th4e North Atlantic, Geochim. Cosmochim. Ac., 73, 3981–4003, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib113"><label>113</label><mixed-citation>
      Sholkovitz, E. R., Sedwick, P. N., Church, T. M., Baker, A. R., and Powell, C. F.: Fractional solubility of aerosol iron: Synthesis of a global-scale data set, Geochim. Cosmochim. Ac., 89, 173–189, <a href="https://doi.org/10.1016/j.gca.2012.04.022" target="_blank">https://doi.org/10.1016/j.gca.2012.04.022</a>, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib114"><label>114</label><mixed-citation>
      
Shupert, L. A., Ebbs, S. D., Lawrence, J., Gibson, D. J., and Filip, P.: Dissolution of copper and iron from automotive brake pad wear debris enhances growth and accumulation by the invasive macrophyte Salvinia molesta Mitchell, Chemosphere, 92, 45–51, <a href="https://doi.org/10.1016/j.chemosphere.2013.03.002" target="_blank">https://doi.org/10.1016/j.chemosphere.2013.03.002</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib115"><label>115</label><mixed-citation>
      Song, Q. and Osada, K.: Seasonal variation of aerosol acidity in Nagoya, Japan and factors affecting it, Atmos. Environ., 5, 100062, <a href="https://doi.org/10.1016/j.aeaoa.2020.100062" target="_blank">https://doi.org/10.1016/j.aeaoa.2020.100062</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib116"><label>116</label><mixed-citation>
      Song, Q., Zhang, Z., Yu, H., Ginoux, P., and Shen, J.: Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability, Atmos. Chem. Phys., 21, 13369–13395, <a href="https://doi.org/10.5194/acp-21-13369-2021" target="_blank">https://doi.org/10.5194/acp-21-13369-2021</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib117"><label>117</label><mixed-citation>
      Sullivan, R. C., Guazzotti, S. A., Sodeman, D. A., and Prather, K. A.: Direct observations of the atmospheric processing of Asian mineral dust, Atmos. Chem. Phys., 7, 1213–1236, <a href="https://doi.org/10.5194/acp-7-1213-2007" target="_blank">https://doi.org/10.5194/acp-7-1213-2007</a>, 2007.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib118"><label>118</label><mixed-citation>
      Takahashi, Y., Miyoshi, T., Higashi, M., Kamioka, H., and Kanai, Y.: Neutralization of calcite in mineral aerosols by acidic sulfur species collected in China and Japan studied by Ca K-edge X-ray absorption near-edge structure, Environ. Sci. Technol., 43, 6535–6540, <a href="https://doi.org/10.1021/es9010256" target="_blank">https://doi.org/10.1021/es9010256</a>, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib119"><label>119</label><mixed-citation>
      Takahashi, Y., Higashi, M., Furukawa, T., and Mitsunobu, S.: Change of iron species and iron solubility in Asian dust during the long-range transport from western China to Japan, Atmos. Chem. Phys., 11, 11237–11252, <a href="https://doi.org/10.5194/acp-11-11237-2011" target="_blank">https://doi.org/10.5194/acp-11-11237-2011</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib120"><label>120</label><mixed-citation>
      Takahashi, Y., Furukawa, T., Kanai, Y., Uematsu, M., Zheng, G., and Marcus, M. A.: Seasonal changes in Fe species and soluble Fe concentration in the atmosphere in the Northwest Pacific region based on the analysis of aerosols collected in Tsukuba, Japan, Atmos. Chem. Phys., 13, 7695–7710, <a href="https://doi.org/10.5194/acp-13-7695-2013" target="_blank">https://doi.org/10.5194/acp-13-7695-2013</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib121"><label>121</label><mixed-citation>
      Tang, M., Perron, M. M. G., Baker, A. R., Li, R., Bowie, A. R., Buck, C. S., Kumar, A., Shelley, R., Ussher, S. J., Clough, R., Meyerink, S., Panda, P. P., Townsend, A. T., and Wyatt, N.: Measurement of soluble aerosol trace elements: inter-laboratory comparison of eight leaching protocols, Atmos. Meas. Tech., 18, 6125–6141, <a href="https://doi.org/10.5194/amt-18-6125-2025" target="_blank">https://doi.org/10.5194/amt-18-6125-2025</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib122"><label>122</label><mixed-citation>
      Tao, Y. and Murphy, J. G.: The sensitivity of PM<sub>2.5</sub> acidity to meteorological parameters and chemical composition changes: 10-year records from six Canadian monitoring sites, Atmos. Chem. Phys., 19, 9309–9320, <a href="https://doi.org/10.5194/acp-19-9309-2019" target="_blank">https://doi.org/10.5194/acp-19-9309-2019</a>, 2019a.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib123"><label>123</label><mixed-citation>
      Tao, Y. and Murphy, J. G.: The mechanisms responsible for the interactions among oxalate, pH, and Fe dissolution in PM<sub>2.5</sub>, ACS Earth Space Chem., 3, 2259–2265, <a href="https://doi.org/10.1021/acsearthspacechem.9b00172" target="_blank">https://doi.org/10.1021/acsearthspacechem.9b00172</a>, 2019b.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib124"><label>124</label><mixed-citation>
      Taylor, S. R.: Abundance of chemical elements in the continental crust: a new table, Geochim. Cosmochim. Ac., 28, 1273–1285, <a href="https://doi.org/10.1016/0016-7037(64)90129-2" target="_blank">https://doi.org/10.1016/0016-7037(64)90129-2</a>, 1964.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib125"><label>125</label><mixed-citation>
      Taylor, S. R. and McLennan, S. M.: The geochemical evolution of the continental crust, Rev. Geophys., 33, 241–265, <a href="https://doi.org/10.1029/95RG00262" target="_blank">https://doi.org/10.1029/95RG00262</a>, 1995.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib126"><label>126</label><mixed-citation>
      
Turekian, K. K. and Wedepohl, K. H.: Distribution of the elements in some major units of the Earth's crust, Geol. Soc. Am. Bull, 72, 175–192, <a href="https://doi.org/10.1130/0016-7606(1961)72" target="_blank">https://doi.org/10.1130/0016-7606(1961)72</a>[175:DOTEIS]2.0.CO,2, 1961.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib127"><label>127</label><mixed-citation>
      Uematsu, M., Duce, R. A., Prospero, J. M., Chen, L., Merrill, J. T., and McDonald, R. L.: Transport of mineral aerosol from Asia over the North Pacific ocean, J. Geophys. Res., 88, 5342–5352, <a href="https://doi.org/10.1029/jc088ic09p05343" target="_blank">https://doi.org/10.1029/jc088ic09p05343</a>, 1983.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib128"><label>128</label><mixed-citation>
      van der Does, M., Brummer, G. J. A., Korte, L. F., and Stuut, J. B. W.: Seasonality in Saharan dust across the Atlantic Ocean: From atmospheric transport to seafloor deposition, J. Geophys. Res.-Atmos., 126, e2021JD034614, <a href="https://doi.org/10.1029/2021JD034614" target="_blank">https://doi.org/10.1029/2021JD034614</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib129"><label>129</label><mixed-citation>
      Varela-Lopes, G. E. and Molion, L. C. B.: Precipitation patterns in Cape Verde Islands: Santiago Island case study, Atmos. Clim. Sci., 4, 854–865, <a href="https://doi.org/10.4236/acs.2014.45075" target="_blank">https://doi.org/10.4236/acs.2014.45075</a>, 2014.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib130"><label>130</label><mixed-citation>
      Vinatier, V., Wirgot, N., Joly, M., Sancelme, M., Abrantes, M., Deguillaume, L., and Delort, A. M.: Sidreophore in cloud waters and potential impact on atmospheric chemistry: Production by microorganisms isolated at the Puy de Dôme station, Environ. Sci. Technol., 50, 9315–9323, <a href="https://doi.org/10.1021/acs.est.6b02335" target="_blank">https://doi.org/10.1021/acs.est.6b02335</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib131"><label>131</label><mixed-citation>
      Wedepohl, K. H.: The composition of the continental crust.: Geochim. Cosmochim. Ac., 59, 1217–1232, <a href="https://doi.org/10.1016/0016-7037(95)00038-2" target="_blank">https://doi.org/10.1016/0016-7037(95)00038-2</a>, 1995.


    </mixed-citation></ref-html>
<ref-html id="bib1.bib132"><label>132</label><mixed-citation>
      Willey, J. D., Kieber, R. J., Seation, P. J., and Miller, C.: Rainwater as a source of Fe(II)-stabilizing ligands to seawater, Limnol. Oceanogr., 53, 1678–1684, <a href="https://doi.org/10.4319/lo.2008.53.4.1678" target="_blank">https://doi.org/10.4319/lo.2008.53.4.1678</a>, 2008.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib133"><label>133</label><mixed-citation>
      Winton, V. H. L., Edwards, R., Bowie, A. R., Keywood, M., Williams, A. G., Chambers, S. D., Selleck, P. W., Desservettaz, M., Mallet, M. D., and Paton-Walsh, C.: Dry season aerosol iron solubility in tropical northern Australia, Atmos. Chem. Phys., 16, 12829–12848, <a href="https://doi.org/10.5194/acp-16-12829-2016" target="_blank">https://doi.org/10.5194/acp-16-12829-2016</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib134"><label>134</label><mixed-citation>
      Wu, H. Y., Hsieh, C. C., and Ho, T. Y.: Trace metal dissolution kinetics of East Asian size-fractionated aerosols in seawater: The effect of a model siderophore, Mar. Chem., 254, 104277, <a href="https://doi.org/10.1016/j.marchem.2023.104277" target="_blank">https://doi.org/10.1016/j.marchem.2023.104277</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib135"><label>135</label><mixed-citation>
      Yang, Y.  and Weber, R. J.: Ultrafiltration to characterize PM<sub>2.5</sub> water-soluble iron and its sources in an urban environment, Atmos. Environ., 286, 119246, <a href="https://doi.org/10.1016/j.atmosenv.2022.119246" target="_blank">https://doi.org/10.1016/j.atmosenv.2022.119246</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib136"><label>136</label><mixed-citation>
      Yoon, J. E., Son, S., and Kim, I. N.: Capture of decline in spring phytoplankton biomass derived from COVID-19 lockdown effect in the Yellow Sea offshore waters, Mar. Pollut. Bull., 174, 113175, <a href="https://doi.org/10.1016/j.marpolbul.2021.113175" target="_blank">https://doi.org/10.1016/j.marpolbul.2021.113175</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib137"><label>137</label><mixed-citation>
      Yu, H., Tan, Q., Chin, M., Remer, L. A., Kahn, R. A., Bian, H., Kim, D., Zhang, Z., Yuan, T., Omar, A. H., Winker, D. M., Levy, R., Kalashnikova, O., Crepeau, L., Capelle, V., and Chedin, A.: Estimates of African dust deposition along the trans-Atlantic transit using the decadelong record of aerosol measurements from CALIOP, MODIS, MISR, and IASI, J. Geophys. Res.-Atmos., 124, 7975–7996, <a href="https://doi.org/10.1029/2019JD030574" target="_blank">https://doi.org/10.1029/2019JD030574</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib138"><label>138</label><mixed-citation>
      Zhang, H., Li, R., Huang, C., Li, X., Dong, S., Wang, F., Li, T., Chen, Y., Zhang, G., Ren, Y., Chen, Q., Huang, R., Chen, S., Xue, T., Wang, X., and Tang, M.: Seasonal variation of aerosol iron solubility in coarse and fine particles at an inland city in northwestern China, Atmos. Chem. Phys., 23, 3543–3559, <a href="https://doi.org/10.5194/acp-23-3543-2023" target="_blank">https://doi.org/10.5194/acp-23-3543-2023</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib139"><label>139</label><mixed-citation>
      Zhang, J., Zhou, X., Wang, Z., Yang, L., Wang, J., and Wang, W.: Trace elements in PM<sub>2.5</sub> in Shandong Province: Source identification and health risk assessment, Sci. Total Environ., 621, 558–577, <a href="https://doi.org/10.1016/j.scitotenv.2017.11.292" target="_blank">https://doi.org/10.1016/j.scitotenv.2017.11.292</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib140"><label>140</label><mixed-citation>
      Zheng, G., Su, H., Wang, S., Andreae, M. O., Pöschl, U., and Cheng, Y.: Multiphase buffer theory explains contrasts in atmospheric aerosol acidity, Science, 369, 1374–1377, <a href="https://doi.org/10.1126/science.aba3719" target="_blank">https://doi.org/10.1126/science.aba3719</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib141"><label>141</label><mixed-citation>
      Zhu, Q., Liu, Y., Shao, T., and Tang, Y.: Transport of Asian aerosols to the Pacific Ocean, Atmos. Res., 234, 104735, <a href="https://doi.org/10.1016/j.atmosres.2019.104735" target="_blank">https://doi.org/10.1016/j.atmosres.2019.104735</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib142"><label>142</label><mixed-citation>
      Zhu, Y., Li, W., Wang, Y., Zhang, J., Liu, L., Xu, L., Xu, J., Shi, J., Shao, L., Fu, P., Zhang, D., and Shi, Z.: Sources and processes of iron aerosols in a megacity in Eastern China, Atmos. Chem. Phys., 22, 2191–2202, <a href="https://doi.org/10.5194/acp-22-2191-2022" target="_blank">https://doi.org/10.5194/acp-22-2191-2022</a>, 2022.

    </mixed-citation></ref-html>--></article>
