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  <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-24-3743-2024</article-id><title-group><article-title>Solar FTIR measurements of NO<inline-formula><mml:math id="M1" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> vertical distributions – Part 1: First observational evidence of a seasonal variation in the diurnal increasing rates of <?xmltex \hack{\break}?>stratospheric NO<inline-formula><mml:math id="M2" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO</article-title><alt-title>Solar FTIR measurements of NO<inline-formula><mml:math id="M3" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> vertical distributions</alt-title>
      </title-group><?xmltex \runningtitle{Solar FTIR measurements of NO${}_{{x}}$ vertical distributions}?><?xmltex \runningauthor{P. N\"{u}rnberg et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name><surname>Nürnberg</surname><given-names>Pinchas</given-names></name>
          <email>pinchas.nuernberg@kit.edu</email>
        <ext-link>https://orcid.org/0009-0002-0007-1143</ext-link></contrib>
        <contrib contrib-type="author" corresp="no">
          <name><surname>Rettinger</surname><given-names>Markus</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name><surname>Sussmann</surname><given-names>Ralf</given-names></name>
          <email>ralf.sussmann@kit.edu</email>
        <ext-link>https://orcid.org/0000-0002-1970-7538</ext-link></contrib>
        <aff id="aff1"><institution>Karlsruhe Institute of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Pinchas Nürnberg (pinchas.nuernberg@kit.edu) and Ralf Sussmann (ralf.sussmann@kit.edu)</corresp></author-notes><pub-date><day>26</day><month>March</month><year>2024</year></pub-date>
      
      <volume>24</volume>
      <issue>6</issue>
      <fpage>3743</fpage><lpage>3757</lpage>
      <history>
        <date date-type="received"><day>30</day><month>June</month><year>2023</year></date>
           <date date-type="rev-request"><day>30</day><month>August</month><year>2023</year></date>
           <date date-type="rev-recd"><day>23</day><month>November</month><year>2023</year></date>
           <date date-type="accepted"><day>19</day><month>January</month><year>2024</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2024 Pinchas Nürnberg et al.</copyright-statement>
        <copyright-year>2024</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/acp-24-3743-2024.html">This article is available from https://acp.copernicus.org/articles/acp-24-3743-2024.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/acp-24-3743-2024.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/acp-24-3743-2024.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e127">Observations of nitrogen dioxide (NO<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) and nitrogen oxide (NO) in the stratosphere are relevant to understand long-term changes and variabilities in stratospheric nitrogen oxide (NO<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>) and ozone (O<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>) concentrations. Due to the versatile role of NO<inline-formula><mml:math id="M7" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO in stratospheric O<inline-formula><mml:math id="M8" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> photochemistry, they are important for recovery and build-up of O<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> holes in the stratosphere and therefore can indirectly affect human life. Thus, we present in this work the evaluation of NO<inline-formula><mml:math id="M10" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO stratospheric partial columns (<inline-formula><mml:math id="M11" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 16 km altitude) retrieved from ground-based Fourier-transform infrared (FTIR) measurements of over 25 years at Zugspitze (47.42° N, 10.98° E; 2964 m a.s.l.) and 18 years at Garmisch (47.47° N, 11.06° E; 745 m a.s.l.), Germany. The obtained stratospheric columns are only weakly influenced by tropospheric pollution and show only a very small bias of 2.5 <inline-formula><mml:math id="M12" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 % when comparing NO<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> above Zugspitze and Garmisch. Stratospheric columns of both NO<inline-formula><mml:math id="M14" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO show a diurnal increase that depends on local solar time (LST). We quantified this behavior by calculating diurnal increasing rates. Here, we find mean values for the NO<inline-formula><mml:math id="M15" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rate of (0.89 <inline-formula><mml:math id="M16" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.14) <inline-formula><mml:math id="M17" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> and (0.94 <inline-formula><mml:math id="M19" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.14) <inline-formula><mml:math id="M20" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at Zugspitze and Garmisch, respectively. The mean NO morning diurnal increasing rate above Zugspitze is found to be (1.42 <inline-formula><mml:math id="M24" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.12) <inline-formula><mml:math id="M25" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Regarding the seasonal dependency of these increasing rates, for the first time, we were able to experimentally detect a significant seasonal variation in both NO<inline-formula><mml:math id="M29" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates and NO morning diurnal increasing rates with a maximum of (1.13 <inline-formula><mml:math id="M30" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04) <inline-formula><mml:math id="M31" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M33" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M34" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for NO<inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and (1.76 <inline-formula><mml:math id="M36" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.25) <inline-formula><mml:math id="M37" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M38" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for NO in September and a minimum of (0.71 <inline-formula><mml:math id="M41" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.18) <inline-formula><mml:math id="M42" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in December for NO<inline-formula><mml:math id="M46" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and a minimum of (1.18 <inline-formula><mml:math id="M47" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.41) <inline-formula><mml:math id="M48" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M50" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in November for NO. This similar behavior may be explained by the interconnection of both species in stratospheric photochemistry. The outcome of this work is a retrieval and analysis strategy of FTIR data for NO<inline-formula><mml:math id="M52" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> stratospheric columns, which can help to further validate photochemical models or improve satellite validations. The first use of this data set is shown in the companion paper (Nürnberg et al., 2023) wherein experiment-based NO<inline-formula><mml:math id="M53" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> scaling factors describing the diurnal increase in the retrieved partial columns are extracted and recently published model-based scaling factors are validated.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>Bundesministerium für Bildung und Forschung</funding-source>
<award-id>01LK2001B</award-id>
</award-group>
</funding-group>
</article-meta>
  </front>
<body>
      

<?pagebreak page3744?><sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e601">Reactive nitrogen oxides (NO<inline-formula><mml:math id="M54" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>) as nitrogen monoxide (NO) and nitrogen dioxide (NO<inline-formula><mml:math id="M55" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) play a crucial role in atmospheric photochemistry both in the troposphere and in the stratosphere (Crutzen, 1970). In the tropospheric boundary layer, the NO<inline-formula><mml:math id="M56" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> origin is mainly anthropogenic from the combustion of fuels and the use of nitrogen-based fertilizers. To a lower extent, biomass burning and biological processes in soils contribute to NO<inline-formula><mml:math id="M57" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> production (Crutzen, 1979). In the upper troposphere near the tropopause, NO<inline-formula><mml:math id="M58" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> concentration is mainly controlled by lightning events and air traffic (Grewe et al., 2001). As a precursor to several harmful air pollutants, e.g., ozone (O<inline-formula><mml:math id="M59" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>) and nitric acid (HNO<inline-formula><mml:math id="M60" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>), the build-up of NO<inline-formula><mml:math id="M61" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> in the troposphere directly affects human health (World Health Organization Regional Office for Europe, 2003). In the stratosphere, NO<inline-formula><mml:math id="M62" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> is produced by the photolysis of nitrous oxide (N<inline-formula><mml:math id="M63" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O), which has been transported through the tropopause and is part of the biospheric nitrogen cycle (Johnston, 1992). As an important part of the O<inline-formula><mml:math id="M64" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>-destroying catalytic cycle, NO<inline-formula><mml:math id="M65" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> controls the abundance of O<inline-formula><mml:math id="M66" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the stratosphere (Murphy et al., 1993). Consequently, since the Montreal Protocol was passed in 1987 with the aim to protect the stratospheric O<inline-formula><mml:math id="M67" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> layer, the monitoring of both O<inline-formula><mml:math id="M68" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and NO<inline-formula><mml:math id="M69" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> had become the focus of attention of much research (Tripp, 1987).</p>
      <p id="d1e750">The global distributions of atmospheric NO<inline-formula><mml:math id="M70" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO have been monitored by satellite missions since 1967 in various operational modes (Godin-Beekmann, 2010; Rusch, 1973): NO<inline-formula><mml:math id="M71" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> data products are available from nadir-looking instruments like TROPOMI, GOME, and SCIAMACHY (Griffin et al., 2019; Richter and Burrows, 2002; Sierk et al., 2006); limb-viewing instruments like MIPAS and OSIRIS (Funke et al., 2005; Haley et al., 2004); and solar occultation measurements namely ACE-FTS and SAGE III/ISS (Fussen et al., 2005; Cisewski et al., 2014). The validation and correction of these data with ground-based measurements are still an ongoing process which has significantly reduced statistical and systematic errors between different satellite and ground-based measurements in the past few decades (Van Geffen et al., 2022; Verhoelst et al., 2021; Kerzenmacher et al., 2008; Wetzel et al., 2007; Brohede et al., 2007; Heue et al., 2005). However, when comparing data (satellite vs. ground) which are in general recorded during different times of the day, a major problem arises: there is a strong diurnal variation in stratospheric NO<inline-formula><mml:math id="M72" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> due to a complex photochemistry (Solomon et al., 1986), so biases arise just due to time mismatch.</p>
      <p id="d1e780">Facing this mismatch, a common method is the use of correction factors calculated from photochemical models to extrapolate retrieved data to the same time of the day. By now these models have a high accuracy, giving information about NO<inline-formula><mml:math id="M73" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> concentration that is dependent on altitude, latitude, and the time of the day (Dubé et al., 2020; Strode et al., 2022). However, to the best of the authors' knowledge, a reliable analysis of long-term observations of NO<inline-formula><mml:math id="M74" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> stratospheric partial columns and their diurnal variations, which could be used for validation of model data, does not exist. This is due to the lack of measurements able to record stratospheric NO<inline-formula><mml:math id="M75" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> as a function of the time of the day.</p>
      <p id="d1e810">For the ground-based observation of NO<inline-formula><mml:math id="M76" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>, several different measurement techniques are well established, such as microwave radiometers (MRs), zenith sky (ZS) and multi-axis (MAX) differential optical absorption spectroscopy (DOAS), and Fourier-transform infrared (FTIR) spectrometry. The MR technique is sensitive at high altitudes and offers the possibility to obtain NO<inline-formula><mml:math id="M77" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> columns independent of night- and daytime (Ricaud et al., 2004). ZS-DOAS or Système d'Analyse par Observations Zénithales (SAOZ) instruments are well established at many stations all over the globe and provide long-term information about trace gas columns (e.g., NO<inline-formula><mml:math id="M78" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) in the stratosphere (Platt and Stutz, 2008; Vandaele et al., 2005; Pommereau and Goutail, 1988; Solomon et al., 1987). However, these instruments have good sensitivity especially at high solar zenith angles (SZAs) near sunrise or sunset (Tack et al., 2015). To get information at lower SZAs, MAX-DOAS measurements are performed, providing information about tropospheric trace gas concentrations at different times of the day (Dimitropoulou et al., 2020; Hönninger et al., 2004). However, these measurements do not provide information about trace gas concentrations at the tropopause and in the lower stratosphere.</p>
      <p id="d1e841">Accurate information on NO<inline-formula><mml:math id="M79" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO columns is accessible via FTIR solar absorption spectrometry, which can cover the whole diurnal variation in NO<inline-formula><mml:math id="M80" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> (Fischer, 1993). Since the first ground-based FTIR measurements of NO<inline-formula><mml:math id="M81" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (Camy-Peyret et al., 1983) and NO (Hanst et al., 1982), some progress has been made in monitoring seasonal trends and diurnal variation in stratospheric and tropospheric NO<inline-formula><mml:math id="M82" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> (Zhou et al., 2021; Yin et al., 2019; Virolainen et al., 2014; Hendrick et al., 2012; Flaud et al., 1988; Rinsland et al., 1988). However, the majority of these studies investigated time periods covering only a few days up to several months. An examination of reliable long-term FTIR measurements with regard to stratospheric NO<inline-formula><mml:math id="M83" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> columns was done by Hendrick et al. (2012). Even though the NO<inline-formula><mml:math id="M84" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal variation is not discussed, the evaluation of 20 years of measurements above Jungfraujoch depicts a consistent picture of (1) the seasonal variability of stratospheric NO<inline-formula><mml:math id="M85" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> columns, which undergo a maximum in summer and a minimum in winter, and (2) a long-term trend which seems to show a slight decrease in stratospheric NO<inline-formula><mml:math id="M86" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> of the order of 3.6 % over 20 years from 1990–2010, before the study by Sussmann et al. (2005) had quantified the NO<inline-formula><mml:math id="M87" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal variation from ground-based FTIR measurements at Zugspitze. This study successfully showed that the stratospheric NO<inline-formula><mml:math id="M88" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal variation can be measured at a high-altitude site without the strong influence of tropospheric pollution events (Sussmann et al., 2005). However, due to the comparably short time period analyzed in this earlier study (2.5 years), a seasonal dependency could<?pagebreak page3745?> not be retrieved. A reliable long-term study from Zhou et al. (2021) analyzed NO tropospheric and stratospheric partial columns retrieved from FTIR measurements above Xianghe and Le Maïdo. This study comprises both the seasonal variability of stratospheric NO with a maximum in winter and a minimum in summer and the diurnal variation that is dependent on the local time (Zhou et al., 2021). However, a quantification regarding the seasonal dependence of the diurnal increase was not discussed.</p>
      <p id="d1e935">Therefore the goal of this work is (i) to analyze the full Zugspitze and Garmisch FTIR time series covering more than 25 years (1995–2022) and 18 years (2004–2022) of measurements, respectively, in order to derive the slope of the linear fit of NO<inline-formula><mml:math id="M89" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO stratospheric columns that depend on the local solar time (LST) – namely the diurnal increase – above our mid-latitude sites while eliminating the impact of tropospheric pollution or tropopause variabilities; (ii) to investigate whether a significant seasonal variation in the NO<inline-formula><mml:math id="M90" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increase can be inferred; and (iii) to perform a comparison with NO stratospheric columns to further validate the analysis method and the reliability of the obtained data. The measurement data set published along with this paper will be a solid basis for validating current and upcoming photochemistry model simulations and improving satellite validation.</p>
      <p id="d1e956">This paper is Part 1 of two companion papers dealing with the experimental description of the diurnal NO<inline-formula><mml:math id="M91" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> variability above Zugspitze by means of ground-based FTIR measurements. Our paper first discusses the stratospheric NO<inline-formula><mml:math id="M92" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> photochemistry and the consequences for the diurnal behavior of NO<inline-formula><mml:math id="M93" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO in Sect. 2. In Sect. 3 we describe the retrieval strategy for NO<inline-formula><mml:math id="M94" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO from solar FTIR measurements at Zugspitze and Garmisch. Section 4 focuses on the retrieval results, the separation of the retrieved columns into stratospheric and tropospheric contributions, and the introduction of a pollution filter for the obtained stratospheric columns. The calculation of NO<inline-formula><mml:math id="M95" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates and their seasonal variation is made in Sect. 5 followed by a comparison to NO morning diurnal increasing rates, validating the analysis method in Sect. 6. Section 7 gives the summary and conclusions.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><?xmltex \opttitle{Photochemistry of stratospheric NO${}_{{x}}$}?><title>Photochemistry of stratospheric NO<inline-formula><mml:math id="M96" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula></title>
      <p id="d1e1021">As the background for our FTIR data interpretation later, we present a short overview of the model understanding of NO<inline-formula><mml:math id="M97" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> stratospheric photochemistry. More details can be found in the literature (Crutzen, 1970; Crutzen, 1979; Coffey et al., 1981; Cariolle, 1983; Jaeglé et al., 1994; Lary, 1997; Cohen and Murphy, 2003; Brasseur and Solomon, 2005).</p>
      <p id="d1e1033">During daytime the main NO<inline-formula><mml:math id="M98" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> source is the photolysis of the reservoir species HNO<inline-formula><mml:math id="M99" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and N<inline-formula><mml:math id="M100" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M101" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:math></inline-formula>, see Reactions (R1) and (R2), resulting in a continuous increase in NO<inline-formula><mml:math id="M102" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> during the day.<?xmltex \hack{\newpage}?>

              <disp-formula specific-use="gather" content-type="numbered"><mml:math id="M103" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E1"><mml:mtd><mml:mtext>1</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mi mathvariant="normal">HNO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:mi>h</mml:mi><mml:mi mathvariant="italic">ν</mml:mi><mml:mo>→</mml:mo><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal">OH</mml:mi></mml:mrow></mml:mtd></mml:mlabeledtr><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 mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">5</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:mi>h</mml:mi><mml:mi mathvariant="italic">ν</mml:mi><mml:mo>→</mml:mo><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

          Both reactions take place on a timescale of minutes to hours between sunrise and sunset, and the kinetics depend on solar elevation.</p>
      <p id="d1e1157">The main NO source is the reaction of nitrous oxide (N<inline-formula><mml:math id="M104" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O) with excited oxygen (<inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mi mathvariant="normal">O</mml:mi><mml:msup><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:msup><mml:mi mathvariant="normal">D</mml:mi><mml:mo>)</mml:mo><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> resulting from the photolysis of O<inline-formula><mml:math id="M106" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> given in Reactions (R3) and (R4). This leads to a similar continuous increase in NO during the day as seen for NO<inline-formula><mml:math id="M107" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>.

              <disp-formula specific-use="gather" content-type="numbered reaction"><mml:math id="M108" display="block"><mml:mtable displaystyle="true"><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:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:mi>h</mml:mi><mml:mi mathvariant="italic">ν</mml:mi><mml:mo>→</mml:mo><mml:mi mathvariant="normal">O</mml:mi><mml:msup><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:msup><mml:mi mathvariant="normal">D</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E4"><mml:mtd><mml:mtext>4</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal">O</mml:mi><mml:msup><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:msup><mml:mi mathvariant="normal">D</mml:mi><mml:mo>)</mml:mo><mml:mo>→</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

          According to the model understanding, the reaction rate of Reactions (R1) to (R4) decreases after noon, leading to a lower NO<inline-formula><mml:math id="M109" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO increase in the afternoon than observed in the morning.</p>
      <p id="d1e1297">Additionally, both NO<inline-formula><mml:math id="M110" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> species are interconverted into each other on timescales of seconds within the O<inline-formula><mml:math id="M111" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>-destroying nitrogen catalytic cycle,

              <disp-formula specific-use="gather" content-type="numbered reaction"><mml:math id="M112" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E5"><mml:mtd><mml:mtext>5</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mi mathvariant="normal">NO</mml:mi><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>→</mml:mo><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E6"><mml:mtd><mml:mtext>6</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal">O</mml:mi><mml:mo>→</mml:mo><mml:mi mathvariant="normal">NO</mml:mi><mml:mo>+</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E7"><mml:mtd><mml:mtext>7</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mi mathvariant="normal">net</mml:mi><mml:mo>:</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">O</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>+</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>→</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

          and via the photolysis of NO<inline-formula><mml:math id="M113" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (Reaction R8), resulting in an equilibrium during daytime:
          <disp-formula id="Ch1.E8" content-type="numbered reaction"><label>8</label><mml:math id="M114" display="block"><mml:mrow><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>+</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi>h</mml:mi><mml:mi mathvariant="italic">ν</mml:mi><mml:mo>→</mml:mo><mml:mi mathvariant="normal">NO</mml:mi><mml:mo>+</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">O</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
        This equilibrium is reached very fast after sunrise and is nearly constant in the morning where the concentration increase in both species follows in a good approximation a linear behavior. In the afternoon, the equilibrium changes due to the strong solar elevation dependency of Reaction (R8) and due to the increasing abundance of O<inline-formula><mml:math id="M115" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> with daylight (Wang et al., 2020; Strode et al., 2022). Consequently, after noon, the NO increase slows down, whereas NO<inline-formula><mml:math id="M116" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> continues to increase with a similar rate. Between an SZA of 80–90° the trace gas concentrations are still influenced by the thermally driven reactions taking place at night, leading to a strong deviation from a linear behavior during very early morning.</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>FTIR measurement and retrieval strategy</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Measurement</title>
      <p id="d1e1496">All data of this study are retrieved from long-term ground-based FTIR solar absorption measurements at Zugspitze, Germany (47.42° N, 10.98° E; 2964 m a.s.l.) and Garmisch, Germany (47.47° N, 11.06° E; 745 m a.s.l.). The high-altitude observatory at Zugspitze is located in the German<?pagebreak page3746?> Alps and can be treated as a clean site without strong influences from pollution events in the boundary layer. The observatory at Garmisch is located in the direct vicinity of Zugspitze but is 2219 m below Zugspitze in the countryside and is influenced by urban pollution events from, e.g., Munich. The Bruker IFS 125HR spectrometers used have been operated continuously since 1995 at Zugspitze and since 2004 at Garmisch. They operate with an actively controlled solar tracker and liquid-nitrogen-cooled MCT (HgCdTe) and InSb detectors. The instrument and measurement details are described elsewhere in detail (Sussmann and Schäfer, 1997; Sussmann, 1999). The data set used for Zugspitze comprises all available measurements from 1995 to the present, namely 19 552 spectra on 2579 measurement days (7.58 measurements per measurement day on average) for the micro-window (MW) used for the NO<inline-formula><mml:math id="M117" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> retrieval and 7513 spectra on 2247 measurement days (3.34 measurements per measurement day on average) for the NO retrieval. The maximum optical path difference is 175 and 250 cm, respectively. The data set used for Garmisch comprises all available measurements from 2004 to the present, namely 15 801 spectra on 2114 measurement days (7.47 measurements per measurement day on average) for the MW used for the NO<inline-formula><mml:math id="M118" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> retrieval.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Retrieval strategy</title>
      <p id="d1e1525">In this paper, NO<inline-formula><mml:math id="M119" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO volume mixing ratio (VMR) profiles and column amounts are derived from measured spectra using version 9.6 of the retrieval code PROFFIT (Hase et al., 2004). The parameters used of the two described retrievals are summarized in detail in Table S1 in the Supplement. They are all optimized, leading to minimum values of the resulting spectral residuals (measured minus calculated) and physically meaningful vertical VMR profiles. The main quality selection criterion after a successful retrieval (<inline-formula><mml:math id="M120" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 20 iterations) was a ratio of the noise-to-signal ratio (NSR) to the degrees of freedom for signal (DOFSs) of <inline-formula><mml:math id="M121" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mi mathvariant="normal">NSR</mml:mi><mml:mi mathvariant="normal">DOFS</mml:mi></mml:mfrac></mml:mstyle></mml:math></inline-formula> <inline-formula><mml:math id="M122" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 0.125 for NO<inline-formula><mml:math id="M123" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and <inline-formula><mml:math id="M124" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 0.2 for NO. These settings have been determined by a tradeoff between data quality and data amount. The DOFS is a measure of the information content that can be attained on the vertical profile from the retrieval (Rodgers, 1998). Additionally, all spectra recorded at SZA <inline-formula><mml:math id="M125" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 80° were dropped because of the influence of the thermally driven reactions taking place at night, which can be dominant already near the terminator (SZA of 90°; see Sect. 2). However, these dropped data are available from the corresponding author upon request. The resulting mean calculated spectra for the NO<inline-formula><mml:math id="M126" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO retrievals, their spectral residuals, and the NSR are shown in Figs. S1a and b and S2, respectively. The NSR is 0.0694 % (NO<inline-formula><mml:math id="M127" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) and 0.1603 % (NO) at Zugspitze and 0.0631 % (NO<inline-formula><mml:math id="M128" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) at Garmisch.<?xmltex \hack{\newpage}?></p>
<sec id="Ch1.S3.SS2.SSS1">
  <label>3.2.1</label><?xmltex \opttitle{NO${}_{{2}}$}?><title>NO<inline-formula><mml:math id="M129" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula></title>
      <p id="d1e1630">For retrieval of NO<inline-formula><mml:math id="M130" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> above Zugspitze and above Garmisch, a prominent infrared absorption line first suggested for atmospheric retrievals by Camy-Peyret et al. (1983) was used, utilizing a spectral MW ranging from 2914.3 to 2914.85 cm<inline-formula><mml:math id="M131" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. This MW includes a strong absorption of CH<inline-formula><mml:math id="M132" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> at 2914.5 cm<inline-formula><mml:math id="M133" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, which is retrieved simultaneously. For both species (NO<inline-formula><mml:math id="M134" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and CH<inline-formula><mml:math id="M135" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>) we applied a simple first-derivative (<inline-formula><mml:math id="M136" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) smoothness constraint (Tikhonov, 1963). Vertical a priori profiles of the interfering species, H<inline-formula><mml:math id="M137" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O, O<inline-formula><mml:math id="M138" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, H<inline-formula><mml:math id="M139" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>CO, OCS, and C<inline-formula><mml:math id="M140" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>H<inline-formula><mml:math id="M141" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula>, were iteratively scaled within the retrieval. For NO<inline-formula><mml:math id="M142" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> one single averaged a priori profile was taken from the Whole Atmosphere Community Climate Model (WACCM) version 6 generated by NCAR (Lamarque et al., 2013). Daily profiles from the GGG2020 software (Laughner et al., 2022) were used for the interfering species. The spectroscopy for all species is taken from ATMOS version 20200512 (Brown et al., 1996).</p>
</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <label>3.2.2</label><title>NO</title>
      <p id="d1e1768">For retrieval of NO above Zugspitze, the prominent doublet located at 1900.075 cm<inline-formula><mml:math id="M143" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> was used, utilizing a spectral MW ranging from 1899.900 to 1900.100 cm<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. This MW was also used in previous studies (Zhou et al., 2021; Wiacek et al., 2006; Notholt et al., 1995). This MW includes an absorption line of CO<inline-formula><mml:math id="M145" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> at 1899.995 cm<inline-formula><mml:math id="M146" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, which is retrieved simultaneously. For both species (NO and CO<inline-formula><mml:math id="M147" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) we applied an <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> Tikhonov regularization. A vertical a priori profile of O<inline-formula><mml:math id="M149" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> was iteratively scaled within the retrieval. For the other interfering species, H<inline-formula><mml:math id="M150" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O and N<inline-formula><mml:math id="M151" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O, only a forward calculation was used along with a retrieval of the other species. For NO, one single averaged a priori profile was taken from the Whole Atmosphere Community Climate Model (WACCM) version 6 generated by NCAR (Lamarque et al., 2013). Daily profiles from the GGG2020 software were used for the interfering species (Laughner et al., 2022). The spectroscopy for all species is taken from HITRAN2020 (Gordon et al., 2022).</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><?xmltex \opttitle{NO${}_{{x}}$ vertical profiles and pollution filter}?><title>NO<inline-formula><mml:math id="M152" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> vertical profiles and pollution filter</title>
      <?pagebreak page3747?><p id="d1e1884">Following the retrieval strategy and the quality control described in Sect. 3, NO<inline-formula><mml:math id="M153" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> vertical profiles are derived above Zugspitze (NO<inline-formula><mml:math id="M154" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO) and above Garmisch (NO<inline-formula><mml:math id="M155" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) for each spectrum and are shown in Fig. S3a (Zugspitze) and b (Garmisch) for NO<inline-formula><mml:math id="M156" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and in Fig. S4a and b for NO (red lines). From the remaining 16 023 (Zugspitze, NO<inline-formula><mml:math id="M157" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>), 14 460 (Garmisch, NO<inline-formula><mml:math id="M158" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>), and 6213 (NO) spectra, mean DOFSs of 1.38, 1.49, and 2.14, respectively, are derived.<?xmltex \hack{\newpage}?></p>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Separation of the tropospheric and stratospheric column contributions</title>
      <p id="d1e1950">As mentioned in the Introduction, one main issue of this work is the reduction in error sources influencing the reliability of the interpreted data. To avoid the influence of NO<inline-formula><mml:math id="M159" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> variability in the troposphere and near the tropopause on the retrieved stratospheric NO<inline-formula><mml:math id="M160" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> columns, in this section we  describe the separation of the derived columns into two partial columns, even though the obtained DOFSs for the NO<inline-formula><mml:math id="M161" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> retrieval are only 1.38 (Zugspitze) and 1.49 (Garmisch) and not 2.0. The lower partial column covers the troposphere and the lower stratosphere up to 16 km. The upper partial column covers the middle and upper stratosphere above 16 km.</p>
<sec id="Ch1.S4.SS1.SSS1">
  <label>4.1.1</label><?xmltex \opttitle{NO${}_{{x}}$ partial column averaging kernels above Zugspitze and Garmisch}?><title>NO<inline-formula><mml:math id="M162" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> partial column averaging kernels above Zugspitze and Garmisch</title>
      <p id="d1e1997">Figure 1a depicts the retrieved number density (mean over all measured spectra) of NO<inline-formula><mml:math id="M163" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> as a function of altitude <inline-formula><mml:math id="M164" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> at Zugspitze (continuous gray line) and Garmisch (broken line) normalized to its maximum value in the stratosphere. Additionally, the partial column averaging kernels (PCKs; sum of the rows of the averaging kernel matrix over the respective altitude range of the partial column of interest) for both retrievals below (red line) and above (blue line) 16 km altitude are shown. For both stations, a nearly identical profile (gray) is obtained, confirming the retrieval method. The first local maximum extends over the lower troposphere up to 8 km altitude. This maximum reflects the mainly anthropogenic NO<inline-formula><mml:math id="M165" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> sources in the boundary layer. Although the measurements are performed on a high-altitude site (Zugspitze), the influence of anthropogenic NO<inline-formula><mml:math id="M166" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> sources from the boundary layer on the profile cannot be excluded. Another contribution certainly results from the a priori profiles (given the shape of the a priori profiles used as depicted in Fig. S3 (green line) along with the weak sensitivity of the PCK <inline-formula><mml:math id="M167" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 16 km (continuous red  line) for the 2.964–8 km range). Near the tropopause between 5 and 15 km another local maximum is visible. This accumulation is typical for mid-latitudes and can mainly be explained by  the influence of lightning in summer, the vertical transport of NO<inline-formula><mml:math id="M168" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> from surface emissions, and air traffic (Grewe et al., 2001). Above 16 km a large peak is apparent in the profiles with a maximum at <inline-formula><mml:math id="M169" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30 km. Here, the stratospheric NO<inline-formula><mml:math id="M170" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> photochemistry takes place, which is the focus of this work.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e2077">Retrieved partial column averaging kernels for below 16 km altitude (red lines) and above 16 km altitude (blue lines) of <bold>(a)</bold> NO<inline-formula><mml:math id="M171" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> measured at Zugspitze (continuous lines) and Garmisch (dotted lines) and <bold>(b)</bold> NO measured at Zugspitze, both depending on the altitude. Additionally, the respective normalized mean number density that depends on the altitude (gray lines) is shown. The green line indicates the splitting altitude of 16 km.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/24/3743/2024/acp-24-3743-2024-f01.png"/>

          </fig>

      <p id="d1e2101">Figure 1b depicts in the same manner the retrieved mean number density for NO normalized to its maximum value in the stratosphere against <inline-formula><mml:math id="M172" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> (gray line) and the PCK below (red line) and above (blue line) 16 km altitude. The NO profile (gray) shows analogous maxima as described above for NO<inline-formula><mml:math id="M173" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>. The lowest maximum results from anthropogenic emissions in the boundary layer; the maximum near the tropopause results from lightning events, vertical NO<inline-formula><mml:math id="M174" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> transport, and air traffic; and the maximum at 30 km altitude reflects NO<inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> photochemistry in the stratosphere.</p>
      <p id="d1e2147">To give a reason for the separation of the stratospheric columns from the lower ones, the PCKs for <inline-formula><mml:math id="M176" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 16 km (red lines) and <inline-formula><mml:math id="M177" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 16 km (blue lines) altitudes are depicted in Fig. 1a and b too.</p>
      <p id="d1e2164">The lower PCK of the NO<inline-formula><mml:math id="M178" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> retrieval at Zugspitze (continuous red line, Fig. 1a) shows a moderate sensitivity in the altitude region between 2.964 and 16 km with a maximum of 0.38 at 18 km. In contrast, the lower PCK of the NO<inline-formula><mml:math id="M179" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> retrieval at Garmisch (dotted red line, Fig. 1a) shows a strong sensitivity in the lower-altitude region with a maximum of 1.33 at 17 km. However, for both retrievals the sensitivity of the lower PCK at high altitudes of 30 km is very low with 0.18 and 0.35, respectively. Here, both stratospheric PCKs (blue line), which are very similar for the retrievals at Zugspitze (continuous line) and Garmisch (dotted line), show a high retrieval sensitivity of ca. 1 above 30 km and a comparably low sensitivity below 16 km.</p>
      <p id="d1e2185">For the NO retrieval at Zugspitze (Fig. 1b) a similar pattern is achieved. The sensitivity of the lower PCK (red line) is rather high above the tropopause with a maximum of 0.69 at 18 km, but it decreases strongly at higher altitudes (0.11 at 30 km). In comparison, the stratospheric PCK (blue line) as seen for NO<inline-formula><mml:math id="M180" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> shows a continuous high sensitivity to stratospheric variabilities with a value of <inline-formula><mml:math id="M181" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 above 30 km.</p>
      <p id="d1e2204">These findings make it reasonable to split up the obtained NO<inline-formula><mml:math id="M182" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO profiles into partial columns above and below 16 km altitude to avoid influences of variabilities near the tropopause and in the boundary layer on the stratospheric partial column, although the resulting DOFSs of the NO<inline-formula><mml:math id="M183" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> retrieval are only 1.38 (Zugspitze) and 1.49 (Garmisch).</p>
</sec>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Pollution filter</title>
      <p id="d1e2234">In a next step the obtained NO<inline-formula><mml:math id="M184" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> lower partial columns should be used to account for pollution events in the boundary layer, which also could affect the data retrieved for the stratospheric partial column and especially its diurnal variability. Figure S5a–d show the retrieved NO<inline-formula><mml:math id="M185" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> partial columns above Zugspitze (Fig. S5a–b) and above Garmisch (Fig. S5c–d) below (Fig. S5c) and above (Fig. S5d) 16 km altitude that depend on LST and partitioned into monthly data sets for the whole measurement period (blue to yellow symbols from January to December; see legend). To account for pollution events, the evidently visible positive outliers of the lower partial columns (Fig. S5c) are identified via the interquartile range (IQR). All dates on which the retrieved lower partial column is above 1.5 <inline-formula><mml:math id="M186" display="inline"><mml:mo>⋅</mml:mo></mml:math></inline-formula> IQR of the respective month are removed from the data set and, consequently, will not show up in the stratospheric column too. The resulting pollution-filtered NO<inline-formula><mml:math id="M187" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> partial columns are shown in Fig. 2 for the measurements at Zugspitze (Fig. 2a, b) and Garmisch (Fig. 2c, d) and are discussed in the next section. In the same manner we filtered the retrieved NO data set (see Fig. S6a, b, raw data,<?pagebreak page3748?> and Fig. S6c, d, pollution filtered) to account for tropospheric pollution events.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e2273">Retrieved pollution-filtered NO<inline-formula><mml:math id="M188" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> partial columns for every month below <bold>(a)</bold> and above <bold>(b)</bold> 16 km altitude measured at Zugspitze and below <bold>(c)</bold> and above <bold>(d)</bold> 16 km altitude measured at Garmisch that depend on the local solar time (blue to yellow symbols from January to December; see legend).</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/24/3743/2024/acp-24-3743-2024-f02.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><?xmltex \opttitle{NO${}_{{2}}$ partial columns above Zugspitze and Garmisch}?><title>NO<inline-formula><mml:math id="M189" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> partial columns above Zugspitze and Garmisch</title>
      <p id="d1e2322">In Fig. 2, the pollution-filtered NO<inline-formula><mml:math id="M190" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> partial columns below (Fig. 2c) and above (Fig. 2b) 16 km altitude measured at Zugspitze (top row) and Garmisch (bottom row) are shown. In comparison to the uncorrected data, the monthly data sets for both NO<inline-formula><mml:math id="M191" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> partial columns are smooth. In the troposphere and near the tropopause (lower partial column, Fig. 2a and c), the NO<inline-formula><mml:math id="M192" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> concentration does not show a diurnal variation that is dependent on the LST. This behavior agrees with the literature and underlines the weak influence of photochemistry in the lower atmosphere (Li et al., 2021). Comparing the lower partial column above Zugspitze (Fig. 2a) and Garmisch (Fig. 2c), the difference in altitude (2219 m) of both observatories is directly visible. Due to the influence of anthropogenic emissions in the boundary layer, the lower partial column measured at Garmisch shows 7–10 times higher values than that measured at Zugspitze; see also Fig. S7a.</p>
      <p id="d1e2352">Contrary to this, both stratospheric partial columns (<inline-formula><mml:math id="M193" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 16 km) above Zugspitze (Fig. 2b) and Garmisch (Fig. 2d) have very similar values; see also Fig. S7b for a direct comparison. Due to the vicinity of both observatories (ca. 10 km), it is to be expected that the stratospheric partial columns are practically identical. However, the question is whether the data retrievals can reflect this expectation because of the extremely differing station altitudes, with tropospheric NO<inline-formula><mml:math id="M194" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> potentially impacting the Garmisch stratospheric retrievals more than in the Zugspitze case. When quantitatively comparing both time series, the mean bias of both partial columns over the whole period between 2004 and 2022 can be found to be only 2.5 %. The standard error of the bias is lower (2<inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>/</mml:mo><mml:mo>√</mml:mo><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M196" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.28 %), indicating that the 2.5 % difference between the stratospheric NO<inline-formula><mml:math id="M197" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> partial columns measured at Zugspitze and Garmisch is small but significant. However, the very low mean bias between both data sets validates the retrieval method used and confirms the data evaluation up to this point. Additionally, both stratospheric partial columns show a strong diurnal variation with LST. Here, the discussed diurnal increase from sunrise to sunset is well pronounced  for every month. The influence of the stratospheric NO<inline-formula><mml:math id="M198" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> seasonal cycle can be seen when comparing the different months (blue to yellow symbols from January to December; see legend). The NO<inline-formula><mml:math id="M199" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> concentration in summer (greenish symbols) is <inline-formula><mml:math id="M200" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3.5 times higher than in wintertime (blueish and yellowish symbols), which can be seen clearly when comparing summer and winter months in Fig. 3. This is in good agreement with long-term literature data from Jungfraujoch, which is a high-altitude site at mid-latitudes (Hendrick et al., 2012).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e2433">Retrieved pollution-filtered NO<inline-formula><mml:math id="M201" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> stratospheric columns (<inline-formula><mml:math id="M202" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 16 km) above Zugspitze (empty red symbols) and Garmisch (filled blue symbols) for every month that depend on the local solar time and linear fit over the whole data range (dashed black and dotted lines for Zugspitze and Garmisch, respectively).</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/24/3743/2024/acp-24-3743-2024-f03.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><?xmltex \opttitle{NO${}_{{2}}$ diurnal increasing rate}?><title>NO<inline-formula><mml:math id="M203" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rate</title>
      <p id="d1e2478">In this section we use the pollution-filtered NO<inline-formula><mml:math id="M204" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> stratospheric partial columns measured at Zugspitze and Garmisch to calculate diurnal increasing rates that depend on the month. The latter quantitatively describes the seasonal variation in diurnal stratospheric NO<inline-formula><mml:math id="M205" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> concentrations. For validation of the observed behavior and the retrieval method used, we furthermore correlate the  NO<inline-formula><mml:math id="M206" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates obtained from both observatories (Zugspitze and Garmisch).</p>
<sec id="Ch1.S5.SS1">
  <label>5.1</label><?xmltex \opttitle{Calculation of monthly NO${}_{{2}}$ diurnal increasing rates}?><title>Calculation of monthly NO<inline-formula><mml:math id="M207" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates</title>
      <?pagebreak page3750?><p id="d1e2525">Figure 3 shows the NO<inline-formula><mml:math id="M208" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> stratospheric partial columns measured at Zugspitze (empty red symbols) and Garmisch (filled blue symbols) for every month, showing their dependance on the LST. As discussed before, the data of both observatories are very similar when comparing data of the same time of the day. Note that especially in winter, the data range measured at Garmisch is smaller due to the combination of low solar altitude angle and the location of the observatory in the valley, leading to a higher uncertainty in the resulting data in the winter compared to Zugspitze.</p>
      <p id="d1e2537">Within our observational data scatter, we cannot confirm from Fig. 3 any non-linear behavior of the NO<inline-formula><mml:math id="M209" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increase after noon as forecasted by some models (Dubé et al., 2020; McLinden et al., 2000). Instead, the measured NO<inline-formula><mml:math id="M210" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> column appears to increase linearly over the whole day for every time of the year. One reason for this deviation can be the altitude dependence of the non-linearity of the NO<inline-formula><mml:math id="M211" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> concentration discussed by Dubé et al. (2021), which cannot be addressed with the NO<inline-formula><mml:math id="M212" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> column data available in this work. However, we decided to extract NO<inline-formula><mml:math id="M213" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates from the observed data by the determination of the slope of a linear fit over the whole day for every month at Zugspitze (dashed black  lines) and Garmisch (dotted black lines). A similar method for the determination of NO<inline-formula><mml:math id="M214" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates was applied in earlier work (Sussmann et al., 2005; Li et al., 2021).</p>
      <p id="d1e2595">The results of the linear fits that depend on the month are shown in Fig. 4a for the measurements at Zugspitze (empty red symbols) and Garmisch (filled blue symbols). The calculated mean values are also indicated in the figure and are (0.89 <inline-formula><mml:math id="M215" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.14) <inline-formula><mml:math id="M216" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M217" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> and (0.94 <inline-formula><mml:math id="M218" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.14) <inline-formula><mml:math id="M219" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M220" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M221" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M222" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for Zugspitze and Garmisch, respectively. The errors are 2 times the standard error of the mean (2<inline-formula><mml:math id="M223" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>/</mml:mo><mml:mo>√</mml:mo><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo>)</mml:mo><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>; i.e., the mean values agree perfectly within error bars. Both increasing rates also agree within error bars with the value of (1.02 <inline-formula><mml:math id="M224" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.12) <inline-formula><mml:math id="M225" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M226" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M227" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M228" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> obtained in our earlier work for Zugspitze (Sussmann et al., 2005), where a smaller data set (only 2 years) and a simpler retrieval approach had been utilized (using a total column retrieval with a 0 a priori below 10 km altitude instead of a full profile retrieval). Furthermore, Li et al. (2021) published for an even smaller time span (only 1 week in October 2018) a value of (1.34 <inline-formula><mml:math id="M229" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.24) <inline-formula><mml:math id="M230" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M231" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M232" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M233" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for the NO<inline-formula><mml:math id="M234" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rate above Table Mountain, California (34.38° N). This value roughly agrees with the values measured in this work for October, which are (0.92 <inline-formula><mml:math id="M235" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04) <inline-formula><mml:math id="M236" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M237" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> and (1.01 <inline-formula><mml:math id="M238" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.05) <inline-formula><mml:math id="M239" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M240" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M241" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M242" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for Zugspitze and Garmisch, respectively. Here, the even smaller database but also the differing latitude (<inline-formula><mml:math id="M243" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 13°) could explain the difference.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e2875">NO<inline-formula><mml:math id="M244" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates measured at Zugspitze and Garmisch. The error bars are <inline-formula><mml:math id="M245" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>2<inline-formula><mml:math id="M246" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> (standard deviation) from the linear fit. <bold>(a)</bold> Data for Zugspitze (empty red symbols) and Garmisch (filled blue symbols) that depend on the month. The lines are visual guides only. <bold>(b)</bold> Scatterplot of the data measured at Garmisch against the data measured at Zugspitze (black data points). Additionally, the linear regression with <inline-formula><mml:math id="M247" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>- and <inline-formula><mml:math id="M248" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula>-error weighting using the method of York et al. (2004) (continuous line red) and without weighting (dotted red  line) is shown. The <inline-formula><mml:math id="M249" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> line is given in black.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/24/3743/2024/acp-24-3743-2024-f04.png"/>

        </fig>

      <p id="d1e2940">Besides the discussion of averaged NO<inline-formula><mml:math id="M250" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates and single monthly values, in Fig. 4a a clear seasonal variability of the diurnal increasing rate obtained at Zugspitze and at Garmisch is visible. As reflected by the small error bars of the calculated monthly mean values in Fig. 4a, for both observatories  a seasonal cycle with a maximum of (1.13 <inline-formula><mml:math id="M251" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04) <inline-formula><mml:math id="M252" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M253" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M254" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M255" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in September and a minimum of (0.71 <inline-formula><mml:math id="M256" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.18) <inline-formula><mml:math id="M257" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M258" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M259" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M260" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in December can be shown experimentally for the first time. For the quantitative validation of this new finding we directly correlate the obtained monthly NO<inline-formula><mml:math id="M261" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates measured at Zugspitze and Garmisch in the next section, expecting both to have the same origin in stratospheric photochemistry and to therefore be correlated.</p>
<sec id="Ch1.S5.SS1.SSS1">
  <label>5.1.1</label><title>Correlation analysis of extracted diurnal increasing rates</title>
      <p id="d1e3064">Figure 4b shows the scatterplot of monthly NO<inline-formula><mml:math id="M262" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates measured at Garmisch against the ones measured at Zugspitze. The error bars are <inline-formula><mml:math id="M263" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>2<inline-formula><mml:math id="M264" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> (standard deviation) from the linear fit. The continuous red  line is the linear regression with <inline-formula><mml:math id="M265" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>- and <inline-formula><mml:math id="M266" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula>-error weighting using the method by York et al. (2004). With the assumption that <inline-formula><mml:math id="M267" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M268" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> errors are not correlated, the regression analysis results in the values given in Table 1. Additionally, the regression without error weighting is shown (dotted red line). While the correlation coefficient <inline-formula><mml:math id="M269" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> is independent of the errors, the <inline-formula><mml:math id="M270" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value strongly depends on the error. If the <inline-formula><mml:math id="M271" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value exceeds the critical <inline-formula><mml:math id="M272" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value <inline-formula><mml:math id="M273" display="inline"><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mi mathvariant="normal">crit</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (95 % <inline-formula><mml:math id="M274" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 2.23), a significant correlation within 95 % confidence is given. In this case, with a high correlation coefficient <inline-formula><mml:math id="M275" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M276" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.7899 and with a <inline-formula><mml:math id="M277" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value of 3.96 and 3.37 with and without error weighting, respectively, it is very likely that the data are correlated. This result confirms that the seasonal variation shown in the NO<inline-formula><mml:math id="M278" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates is a real effect, which probably originates from the stratospheric photochemistry at mid-latitudes.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e3199">Results of Garmisch–Zugspitze diurnal increasing rate correlation analysis. The correlation coefficient <inline-formula><mml:math id="M279" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M280" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, and the calculated <inline-formula><mml:math id="M281" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> values from the linear regression with <inline-formula><mml:math id="M282" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>- and <inline-formula><mml:math id="M283" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula>-error weighting and without. Significant correlation is achieved if the <inline-formula><mml:math id="M284" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value exceeds the critical <inline-formula><mml:math id="M285" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value <inline-formula><mml:math id="M286" display="inline"><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mi mathvariant="normal">crit</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for the given confidence level.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Correlation</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M287" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M288" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M289" display="inline"><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mi mathvariant="normal">crit</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">Significant correlation</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">coefficient <inline-formula><mml:math id="M290" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">(95 %)</oasis:entry>
         <oasis:entry colname="col6">within 95 % confidence?</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">With <inline-formula><mml:math id="M291" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>- and <inline-formula><mml:math id="M292" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula>-error weighting</oasis:entry>
         <oasis:entry colname="col2">0.7899</oasis:entry>
         <oasis:entry colname="col3">0.6239</oasis:entry>
         <oasis:entry colname="col4">3.96</oasis:entry>
         <oasis:entry colname="col5">2.23</oasis:entry>
         <oasis:entry colname="col6">yes</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">No weighting</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">3.37</oasis:entry>
         <oasis:entry colname="col5">2.23</oasis:entry>
         <oasis:entry colname="col6">yes</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><?xmltex \gdef\@currentlabel{1}?></table-wrap>

</sec>
</sec>
</sec>
<sec id="Ch1.S6">
  <label>6</label><title>NO increasing rate</title>
      <p id="d1e3427">In this section we  analyze the retrieved NO stratospheric columns above Zugspitze. This analysis is motivated by the question of whether the observed seasonal dependence of the NO<inline-formula><mml:math id="M293" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rate originates from stratospheric photochemistry and consequently can be seen in the NO data too.</p>
<sec id="Ch1.S6.SS1">
  <label>6.1</label><title>Calculation of monthly NO morning diurnal increasing rate</title>
      <p id="d1e3446">Figure 5 shows the stratospheric NO partial columns measured at Zugspitze (empty yellow symbols) as a function of the LST for every month. Unlike what is observed for NO<inline-formula><mml:math id="M294" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, the non-linear behavior of the diurnal increase in NO is well pronounced, particularly in summertime (middle row), where after local solar noon, the slope of the diurnal increase decreases significantly. As described in Sect. 2, this behavior can be attributed on the one hand to the strong solar elevation dependency of Reaction (R8). On the other hand, the increasing abundance of O<inline-formula><mml:math id="M295" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> with daytime influences the kinetics of Reaction (R7). Both effects lead to a change in the chemical equilibrium between NO<inline-formula><mml:math id="M296" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO after local solar noon and explain the different afternoon behavior of both trace gases.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e3478">Retrieved pollution-filtered NO stratospheric columns (<inline-formula><mml:math id="M297" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 16 km) above Zugspitze (yellow symbols) for every month that depend on the local solar time and linear fit before local solar noon (dashed black line).</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/24/3743/2024/acp-24-3743-2024-f05.png"/>

        </fig>

      <?pagebreak page3751?><p id="d1e3494">For the quantification of the diurnal increase in the NO stratospheric partial column and a good comparability to NO<inline-formula><mml:math id="M298" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, here we only make a monthly linear fit before noon (Fig. 5, dashed black line) to extract a NO morning diurnal increasing rate for every month.</p>
      <p id="d1e3507">The results of the linear fits that depend on the month are shown in Fig. 6 (empty yellow symbols) together with the NO<inline-formula><mml:math id="M299" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates measured at Zugspitze (empty red symbols). It can be seen that the NO morning diurnal increasing rate shows a similar seasonal variation to the NO<inline-formula><mml:math id="M300" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rate with a maximum of (1.76 <inline-formula><mml:math id="M301" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.25) <inline-formula><mml:math id="M302" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M303" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M304" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M305" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in September and a minimum of (1.18 <inline-formula><mml:math id="M306" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.41) <inline-formula><mml:math id="M307" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M308" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M309" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M310" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in November. Here, a correlation of NO<inline-formula><mml:math id="M311" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO diurnal increasing rates is likely.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e3635">NO<inline-formula><mml:math id="M312" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates and NO morning diurnal increasing rates measured at Zugspitze. The error bars are <inline-formula><mml:math id="M313" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>2<inline-formula><mml:math id="M314" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> (standard deviation) from the linear fit. <bold>(a)</bold> Data for NO<inline-formula><mml:math id="M315" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (red symbols) and NO (yellow symbols) that depend on the month. The lines are visual guides only. <bold>(b)</bold> Scatterplot of the NO data against the NO<inline-formula><mml:math id="M316" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> data, both measured at Zugspitze (black data points). Additionally, the linear regression with <inline-formula><mml:math id="M317" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>- and <inline-formula><mml:math id="M318" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula>-error weighting using the method of York et al. (2004) (continuous red  line) and without weighting (dotted red line) is shown.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/24/3743/2024/acp-24-3743-2024-f06.png"/>

        </fig>

      <p id="d1e3706">However, the error bars of the linear fits of NO are significantly larger compared to NO<inline-formula><mml:math id="M319" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>. One main reason, among others, for this effect is the smaller database for the NO retrieval with less than one half of the spectra compared to NO<inline-formula><mml:math id="M320" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (16 023 vs. 6213 spectra). This difference originates from the use of another MW for the NO retrieval. Nevertheless, in the next section we perform a correlation analysis of both diurnal increasing rates to quantify the relationship between stratospheric NO<inline-formula><mml:math id="M321" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO.</p>
<sec id="Ch1.S6.SS1.SSS1">
  <label>6.1.1</label><?xmltex \opttitle{NO${}_{{2}}$--NO correlation analysis}?><title>NO<inline-formula><mml:math id="M322" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>–NO correlation analysis</title>
      <p id="d1e3753">In Fig. 6b a scatterplot of monthly NO morning diurnal increasing rates against the NO<inline-formula><mml:math id="M323" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates is shown, both measured at Zugspitze. The error bars are <inline-formula><mml:math id="M324" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>2<inline-formula><mml:math id="M325" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> from the linear fit. The continuous red line is the linear regression with <inline-formula><mml:math id="M326" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>- and <inline-formula><mml:math id="M327" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula>-error weighting using the method of York et al. (2004) as described in Sect. 5.1.1. The dotted red line represents the fit without weighting. The results of the correlation analysis are given in Table 2.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e3796">Results of NO–NO<inline-formula><mml:math id="M328" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rate correlation analysis. The correlation coefficient <inline-formula><mml:math id="M329" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M330" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, and the calculated <inline-formula><mml:math id="M331" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> values from the linear regression with <inline-formula><mml:math id="M332" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>- and <inline-formula><mml:math id="M333" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula>-error weighting and without weighting. Significant correlation is achieved if the <inline-formula><mml:math id="M334" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value exceeds the critical <inline-formula><mml:math id="M335" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value <inline-formula><mml:math id="M336" display="inline"><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mi mathvariant="normal">crit</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for the given confidence level.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Correlation</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M337" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M338" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M339" display="inline"><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mi mathvariant="normal">crit</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">Significant correlation</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">coefficient <inline-formula><mml:math id="M340" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">(95 %)</oasis:entry>
         <oasis:entry colname="col6">within 95 % confidence?</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">With <inline-formula><mml:math id="M341" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>- and <inline-formula><mml:math id="M342" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula>-error weighting</oasis:entry>
         <oasis:entry colname="col2">0.7798</oasis:entry>
         <oasis:entry colname="col3">0.6082</oasis:entry>
         <oasis:entry colname="col4">0.83</oasis:entry>
         <oasis:entry colname="col5">2.23</oasis:entry>
         <oasis:entry colname="col6">No</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">No weighting</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">3.94</oasis:entry>
         <oasis:entry colname="col5">2.23</oasis:entry>
         <oasis:entry colname="col6">Yes</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><?xmltex \gdef\@currentlabel{2}?></table-wrap>

      <?pagebreak page3753?><p id="d1e4023">The high correlation coefficient of <inline-formula><mml:math id="M343" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M344" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.7798 shows that it is likely that the given data are related. Without considering the error bars, the <inline-formula><mml:math id="M345" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value (3.94) exceeds <inline-formula><mml:math id="M346" display="inline"><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mi mathvariant="normal">crit</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (2.23) for a confidence level of 95 %, reflecting a significant correlation of the data within 95 % confidence. However, due to the larger error bars of the NO morning diurnal increasing rates, the application of error weighting leads to an even smaller <inline-formula><mml:math id="M347" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> value of 0.83, resulting in no statistical correlation of both data sets within 95 % confidence. Nonetheless, we would like to argue that the obvious similarity between the seasonality of the NO<inline-formula><mml:math id="M348" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO morning diurnal increasing rate observed in Fig. 6a is not accidental. If this is the case, this observation would confirm our model understanding of an interconnection of both trace gases in the stratospheric photochemistry.<?xmltex \hack{\newpage}?></p>
</sec>
</sec>
</sec>
<sec id="Ch1.S7" sec-type="conclusions">
  <label>7</label><title>Summary and conclusions</title>
      <p id="d1e4086">In this study, we analyzed long-term FTIR data recorded within the last 25 years at Zugspitze (47.42° N, 10.98° E; 2964 m a.s.l.) and Garmisch (47.47° N, 11.06° E; 745 m a.s.l.), Germany. We present a retrieval and analysis strategy for the given FTIR data, which provides NO<inline-formula><mml:math id="M349" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO stratospheric partial columns (<inline-formula><mml:math id="M350" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 16 km altitude) that are only weakly influenced by the tropospheric partial column and by pollution events. The obtained NO<inline-formula><mml:math id="M351" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> stratospheric partial columns have a bias of only 2.5 <inline-formula><mml:math id="M352" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 %, very similar above Zugspitze and Garmisch, reflecting the reliability of the given analysis. The observed diurnal behavior of both the NO<inline-formula><mml:math id="M353" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and the NO stratospheric partial columns that depend on the local solar time (LST) reflects the expected behavior described in the literature via photochemical model simulations: the NO<inline-formula><mml:math id="M354" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> stratospheric partial column follows a linear increase from sunrise to sunset, independently of the season. In a similar way, the NO stratospheric partial column increases linearly before local solar noon. In the afternoon, the increase in the NO stratospheric partial column slows down significantly, especially in summertime. Besides these basic observations, we quantified the described diurnal increase in NO<inline-formula><mml:math id="M355" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO that depends on the LST by calculating monthly NO<inline-formula><mml:math id="M356" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates above Zugspitze and Garmisch with mean values of (0.89 <inline-formula><mml:math id="M357" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.07) <inline-formula><mml:math id="M358" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M359" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> and (0.94 <inline-formula><mml:math id="M360" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.07) <inline-formula><mml:math id="M361" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M362" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M363" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M364" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, respectively, and monthly NO morning diurnal increasing rates above Zugspitze with a mean value of (1.42 <inline-formula><mml:math id="M365" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.06) <inline-formula><mml:math id="M366" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M367" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M368" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M369" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Here, the mean NO<inline-formula><mml:math id="M370" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rates fit together perfectly with the literature value published by Sussmann et al. (2005). Additionally, for the first time we could experimentally show a significant seasonal variation in both the NO<inline-formula><mml:math id="M371" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> diurnal increasing rate and the NO morning diurnal increasing rate with a maximum of (1.13 <inline-formula><mml:math id="M372" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04) <inline-formula><mml:math id="M373" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M374" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M375" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M376" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for NO<inline-formula><mml:math id="M377" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and (1.76 <inline-formula><mml:math id="M378" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.25) <inline-formula><mml:math id="M379" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M380" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M381" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M382" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for NO in September and a minimum of (0.71 <inline-formula><mml:math id="M383" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.18) <inline-formula><mml:math id="M384" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M385" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M386" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M387" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in December for NO<inline-formula><mml:math id="M388" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and a minimum of (1.18 <inline-formula><mml:math id="M389" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.41) <inline-formula><mml:math id="M390" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M391" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M392" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M393" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in November for NO. Although the correlation analysis of both NO<inline-formula><mml:math id="M394" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO diurnal increasing rates gives quantitative evidence of their interconnection in the stratospheric photochemistry only within 85 % confidence, both diurnal increasing rates follow the same seasonal cycle.</p>
      <p id="d1e4514">Part 2 of the companion paper (Nürnberg et al., 2023) will show the generalization of the observed NO<inline-formula><mml:math id="M395" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> partial columns (<inline-formula><mml:math id="M396" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 16 km) by converting them into experiment-based NO<inline-formula><mml:math id="M397" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> scaling factors describing the NO<inline-formula><mml:math id="M398" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> diurnal variability that depends on the SZA and will give a first comparison to recently published model-based scaling factors.</p>
      <p id="d1e4551">The data and analysis method given in this paper (Part 1) can be the first step for a latitude-dependent (multi-station) data set reflecting the diurnal behavior of the stratospheric NO<inline-formula><mml:math id="M399" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> column that depends on the season. Furthermore, the measurements with its high time resolution can serve as a basis for the validation of future photochemistry models and the improvement of satellite validation.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e4567">The data underlying this publication can be obtained at any time from the corresponding author on request.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e4570">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-24-3743-2024-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-24-3743-2024-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e4579">PN optimized and performed the FTIR retrievals, performed the scientific analysis, and wrote the manuscript. RS suggested this research, contributed to the design of the study, and supported editing of the manuscript. MR performed the measurements.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e4585">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="d1e4591">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. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e4598">We would like to thank Sarah A. Strode for carefully reading the paper.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e4603">This work was funded by the Federal Ministry of Education and Research of Germany within the ACTRIS-D project (grant no. 01LK2001B) and by the Helmholtz Changing Earth – Sustaining our Future research program  within the Earth and Environment research field. <?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>The article processing charges for this open-access <?xmltex \notforhtml{\newline}?> publication were covered by the Karlsruhe Institute of Technology (KIT).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e4614">This paper was edited by Michel Van Roozendael and reviewed by two anonymous referees.</p>
  </notes><ref-list>
    <title>References</title>

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