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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-20-6521-2020</article-id><title-group><article-title>The potential impacts of a sulfur- and halogen-rich supereruption such as Los Chocoyos on the atmosphere and climate</article-title><alt-title>Potential impacts of a sulfur-and halogen-rich supereruption</alt-title>
      </title-group><?xmltex \runningtitle{Potential impacts of a sulfur-and halogen-rich supereruption}?><?xmltex \runningauthor{H. Brenna et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff4 aff5">
          <name><surname>Brenna</surname><given-names>Hans</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2038-469X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Kutterolf</surname><given-names>Steffen</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Mills</surname><given-names>Michael J.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8054-1346</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Krüger</surname><given-names>Kirstin</given-names></name>
          <email>kkrueger@geo.uio.no</email>
        <ext-link>https://orcid.org/0000-0002-0636-9488</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Section for Meteorology and Oceanography (MetOs), Department of Geosciences,
University of Oslo, P.O. Box 1022,<?xmltex \hack{\break}?> Blindern, 0315, Oslo, Norway</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstrasse 1–3, 24148 Kiel, Germany</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Atmospheric Chemistry Observations &amp; Modeling, National Center for Atmospheric Research, P.O. Box 3000, Boulder, Colorado
80307-3000, USA</institution>
        </aff>
        <aff id="aff4"><label>a</label><institution>now at: The Norwegian Meteorological Institute,
Oslo, Norway</institution>
        </aff>
        <aff id="aff5"><label>🏅</label><institution><?xmltex \bgroup\itshape?>Invited contribution by Hans Brenna, recipient of the European Geosciences Union (EGU) Atmospheric Sciences 2018 Outstanding Student Poster and PICO (OSPP) Award.<?xmltex \egroup?>
    </institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Kirstin Krüger (kkrueger@geo.uio.no)</corresp></author-notes><pub-date><day>5</day><month>June</month><year>2020</year></pub-date>
      
      <volume>20</volume>
      <issue>11</issue>
      <fpage>6521</fpage><lpage>6539</lpage>
      <history>
        <date date-type="received"><day>16</day><month>September</month><year>2019</year></date>
           <date date-type="rev-request"><day>24</day><month>September</month><year>2019</year></date>
           <date date-type="rev-recd"><day>7</day><month>April</month><year>2020</year></date>
           <date date-type="accepted"><day>9</day><month>April</month><year>2020</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2020 Hans Brenna et al.</copyright-statement>
        <copyright-year>2020</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/20/6521/2020/acp-20-6521-2020.html">This article is available from https://acp.copernicus.org/articles/20/6521/2020/acp-20-6521-2020.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/20/6521/2020/acp-20-6521-2020.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/20/6521/2020/acp-20-6521-2020.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e140">The supereruption of Los Chocoyos (14.6<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
91.2<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) in Guatemala <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">84</mml:mn></mml:mrow></mml:math></inline-formula> kyr ago was one of the
largest volcanic events of the past 100 000 years. Recent petrologic data
show that the eruption released very large amounts of climate-relevant
sulfur and ozone-destroying chlorine and bromine gases (<inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mn mathvariant="normal">523</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">94</mml:mn></mml:mrow></mml:math></inline-formula> Mt
sulfur, <inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:mn mathvariant="normal">1200</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">156</mml:mn></mml:mrow></mml:math></inline-formula> Mt chlorine, and <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.46</mml:mn></mml:mrow></mml:math></inline-formula> Mt bromine). Using the
Earth system model (ESM) of the Community Earth System Model version 2 (CESM2) coupled with the Whole Atmosphere Community Climate Model version 6 (WACCM6), we simulated the impacts of the sulfur- and halogen-rich Los Chocoyos eruption on the preindustrial Earth system.</p>
    <p id="d1e208">Our simulations show that elevated sulfate burden and aerosol optical depth
(AOD) persists for 5 years in the model, while the volcanic halogens stay
elevated for nearly 15 years. As a consequence, the eruption leads to a
collapse of the ozone layer with global mean column ozone values dropping to
50 DU (80 % decrease) and leading to a 550 % increase in surface UV over the
first 5 years, with potential impacts on the biosphere. The volcanic
eruption shows an asymmetric-hemispheric response with enhanced aerosol,
ozone, UV, and climate signals over the Northern Hemisphere. Surface climate
is impacted globally due to peak AOD of <inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula>, which leads to a maximum
surface cooling of <inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> K, precipitation and terrestrial net
primary production decrease of <inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula> %, and sea ice area
increases of 40 % in the first 3 years. Locally, a wetting
(<inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> %) and strong increase in net primary production (NPP) (<inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">700</mml:mn></mml:mrow></mml:math></inline-formula> %)
over northern Africa is simulated in the first 5 years and related to a
southward shift of the Intertropical Convergence Zone (ITCZ) to the
southern tropics. The ocean responds with pronounced El Niño conditions
in the first 3 years that shift to the southern tropics and are coherent with the ITCZ change.</p>
    <p id="d1e261">Recovery to pre-eruption ozone levels and climate takes 15 years and 30 years, respectively. The long-lasting surface cooling is sustained by an immediate increase in the Arctic sea ice area, followed by a decrease in poleward ocean heat transport at 60<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N which lasts up to 20 years.</p>
    <p id="d1e273">In contrast, when simulating Los Chocoyos conventionally by including sulfur
and neglecting halogens, we simulate a larger sulfate burden and AOD, more
pronounced surface climate changes, and an increase in column ozone.
By comparing our aerosol chemistry ESM results to other supereruption
simulations with aerosol climate models, we find a higher surface climate
impact per injected sulfur amount than previous studies for our different
sets of model experiments, since the CESM2(WACCM6) creates smaller aerosols with
a longer lifetime, partly due to the interactive aerosol chemistry. As the
model uncertainties for the climate response to supereruptions are very
large, observational evidence from paleo archives and a coordinated<?pagebreak page6522?> model
intercomparison would help to improve our understanding of the climate and
environment response.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e285">The Los Chocoyos (LCY, 14.6<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 91.2<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) supereruption
(Kutterolf et al., 2016) of <inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mi>M</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> (calculated by Pyle, 2013),
dated to <inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">84</mml:mn></mml:mrow></mml:math></inline-formula> kyr before the present (Rose et al., 1999), is
known to be one of the largest volcanic eruptions of the past 100 000 years
(Drexler et al., 1980). The eruption formed the current stage of the large
Atitlán caldera in present-day Guatemala. LCY released more than
<inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1100</mml:mn></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> of tephra, and the eruption is used as a
widespread key stratigraphic marker during that time (Cisneros et al., 2020; Kutterolf et al., 2016). The ash layers can be found in marine
deposits from offshore Ecuador to Florida over an area of more than 10<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:math></inline-formula> km<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> (Kutterolf et al., 2016). Hardly anything is known about the
climate impacts of this eruption from proxy records, but LCY emitted large
amounts of climate-relevant and environmentally relevant gases including sulfur,
chlorine, and bromine compounds (Krüger et al., 2015; Kutterolf et al.,
2015, 2016; Metzner et al., 2014).</p>
      <p id="d1e366">The sulfur gases emitted by volcanoes have a strong direct climate impact
through the formation of sulfuric acid aerosols, which block incoming
sunlight and cool the surface (Robock, 2000). Halogen compounds, such as
chlorine and bromine, contribute to catalytic ozone depletion in the
stratosphere (Brasseur and Solomon, 2005; Solomon, 1999). There is
well-documented petrological evidence that volcanic supereruptions have
emitted environmentally significant amounts of chlorine and bromine (Cadoux
et al., 2015, 2018; Krüger et al., 2015; Kutterolf et al., 2013, 2015;
Vidal et al., 2016). Furthermore, recent atmospheric observations revealed
that even relatively small volcanic eruptions can inject significant amounts
of halogen compounds in the stratosphere (for review and overview
discussions, see von Glasow et al., 2009; Krüger et al., 2015; WMO,
2018). This means that a sulfur- and halogen-rich eruption is expected to
cool the Earth's surface and potentially damage the stratospheric ozone
layer, with further impacts on the surface environment through the change in
the atmosphere's transparency to harmful ultraviolet (UV), particularly
shortwave UVB, radiation (i.e., Brenna et al., 2019). Potential volcanic
iodine injections to the stratosphere (Schönhardt et al., 2017) would
have even a larger ozone depletion potential than chlorine and bromine
(Solomon et al., 1994). However, no direct iodine erupted mass measurements
are available for the LCY eruption.</p>
      <p id="d1e369">Metzner et al. (2014) used the general circulation model (GCM) MAECHAM5-HAM
coupled with a modal aerosol microphysics scheme, together with the CLIMBER-2 (an Earth system model of intermediate complexity) to study the climate
impact of LCY. Based on the former published mass estimate of 687 Mt <inline-formula><mml:math id="M21" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (343.5 Mt S), they simulated a peak cooling of 3.1 <inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
from their LCY eruption scenario. Toohey et al. (2011, 2013) investigated the atmospheric physical processes of LCY, using 700 Mt <inline-formula><mml:math id="M23" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (350 Mt S) injections with the model MAECHAM5-HAM, and revealed the important effects of the different seasons of that eruption on the aerosol evolution, transport, and deposition of sulfate to the ice cores and then compared them to weaker eruptions strengths.</p>
      <p id="d1e403">Even though there is little literature about LCY, the climate impact of
supereruptions has been discussed in the scientific literature since at
least the early 1990s. Early studies argued that the eruption of Toba (73 kyr ago) could have initiated a glacial period (Rampino and Self, 1992,
1993; Zielinski et al., 1996). In addition, there is evidence that human
populations went through a genetic bottleneck (i.e., most of the population
died) at approximately the same time as the eruption of Toba (Ambrose, 1998;
Haslam and Petraglia, 2010; Williams et al., 2009), but this is now
considered unlikely (Timmreck et al., 2010, 2012).</p>
      <p id="d1e407">A thorough investigation of the climatic and environmental impacts of
extremely large to supervolcanic eruptions (<inline-formula><mml:math id="M24" display="inline"><mml:mi>M</mml:mi></mml:math></inline-formula>: 7–8) requires the use of a
global climate model or, ideally, an Earth system model (ESM). There are
several studies published with different model complexities that mostly focus
on the Toba eruption and its sulfur impact on the atmosphere and climate.</p>
      <p id="d1e417">Bekki et al. (1996) used a two-dimensional chemistry transport model with
internally generated atmospheric circulation to study the Toba eruption
impact on the atmosphere. Their simulations indicate that Toba could have
caused a long-lasting atmospheric response due to the interactions between
chemistry and aerosol microphysics.</p>
      <p id="d1e420">Later, Jones et al. (2005) used a coupled atmosphere–ocean general
circulation model (AOGCM) to study the Toba eruption impact on climate. In
this study, they forced the model by linearly scaling the observed aerosol
optical depth (AOD) from the 1991 eruption of Pinatubo by a factor of
100, resulting in peak cooling of <inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">11</mml:mn></mml:mrow></mml:math></inline-formula> K in the second
post-eruption year, followed by an initial recovery that took a decade. Surface
cooling larger than 1 K persisted for more than 20 years. The volcanic
aerosol forcing only lasted 5 years, so the response needed to be maintained
by feedback in other components of the Earth system through, e.g.,
sea ice–ocean feedback sustaining the short atmospheric forcing to longer
(decadal to centennial) timescales (Miller et al., 2012; Stenchikov et al.,
2009; Zhong et al., 2011).</p>
      <p id="d1e433">In a similar study, Robock et al. (2009) used three different AOGCMs to
study the Toba eruption's effect on climate and ozone. In their study, both
the linear scaling AOD approach and directly injecting sulfur into a model
with an interactive bulk aerosol module were utilized. The resulting
magnitude and length of the cooling was similar to what was published by
Jones et al. (2005) across the different model versions and forcing methods.
The scenarios representing a 100-times Pinatubo forcing resulted in
<inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula> K peak cooling<?pagebreak page6523?> with multidecadal recovery times. In a
300-times Pinatubo scenario simulation including atmospheric chemistry
effects, Robock et al. (2009) found slightly stronger (<inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> K)
and much more long-lasting surface cooling (length of <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> K
cooling extended by <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> years) compared to the similar forcing
scenario without chemistry, due to the depletion of atmospheric hydroxyl (OH)
that limits the speed of aerosol formation, which leads to a longer-lasting
forcing. In addition, they simulated an increase in global column ozone, which
attributed to the reduction of reactive hydrogen oxides in the atmosphere.</p>
      <p id="d1e476">Another model study of Toba, presented in Timmreck et al. (2010, 2012) and
Zanchettin et al. (2014), simulated a smaller climate impact with peak
cooling of 3.5 K that lasted up to 10 years from the injected sulfur compared to the
analogous simulations in Robock et al. (2009). A key difference between
Timmreck et al. (2010) and previous AOGCM simulations of Toba is the
inclusion of online aerosol microphysics in a modal aerosol scheme and the
OH limitation mechanism, which leads to larger aerosol sizes, lower peak AOD
(<inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>) values, and thus lower climate impacts in Timmreck et al. (2010). The inclusion of interactive OH chemistry in the formation of
aerosol is important because the availability of OH controls the speed of
<inline-formula><mml:math id="M31" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> oxidation into sulfate (Bekki, 1995).</p>
      <p id="d1e500">Concentrating on the atmospheric processes, English et al. (2013) used a
sectional aerosol microphysics model coupled with a chemistry climate model
with prescribed sea surface temperatures (SSTs) to study the aerosols and
atmospheric impacts of the Toba eruption. In their model setup, by neglecting
aerosol radiative effects, they simulate even lower peak AOD values
(<inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2.6</mml:mn></mml:mrow></mml:math></inline-formula>) due to the fact that their sectional aerosol module
creates larger aerosols compared to Timmreck et al. (2010).</p>
      <p id="d1e514">In the climate modeling literature on the Toba supereruption, there is a
progression from larger to smaller climate (and environmental) impacts as
model complexity develops over time. In the more recent climate models one
key reason seems to be that climate effects are self-limiting for larger
eruptions due to an increase in aerosol growth, which reduces peak AOD
(English et al., 2013; Pinto et al., 1989; Timmreck et al., 2010). In
addition, the role of atmospheric chemistry and OH limitation on sulfuric
acid aerosols is continuously under discussion in the literature (Bekki,
1995; Mills et al., 2017; Niemeier et al., 2019; Robock et al., 2009;
Timmreck et al., 2003).</p>
      <p id="d1e517">Investigating the effects of the Toba eruption on the Earth system, such as
hydrology and terrestrial net primary production, reveals a substantial
reduction of precipitation globally, which leads to the reduction of tree cover,
increase in grass cover, and decreased net primary production (NPP) but with large regional and
intermodel variability (Robock et al., 2009; Timmreck et al., 2010, 2012).
While tropical deciduous trees and broadleaf evergreen trees virtually
disappear in the simulations of Robock et al. (2009), Timmreck et al. (2012)
find much more muted impacts on tree cover, particularly in the tropics.
Timmreck et al. (2012) even simulate an increase in NPP in the tropical rain
forest regions of South America and Africa.</p>
      <p id="d1e520">Recent studies proposed a sea ice–ocean mechanism, which prolongs the volcanic-induced short, abrupt surface cooling and sea ice increase due to longer timescales (decadal), with the ocean sustaining the signal by buffering and
transporting the cooling poleward (Miller et al., 2012; Zhong et al., 2011).
In addition, Zanchettin et al. (2014) simulated an interhemispheric response
to different volcanic forcings with Pinatubo to Toba strength by using Arctic
sea ice expansion for all cases and only using an Antarctic sea ice expansion and subsequent contraction for the supereruptions.</p>
      <p id="d1e523">We are not aware of studies of the supersized eruption effects on the El
Niño–Southern Oscillation (ENSO), whereas the effects of large to very
large (<inline-formula><mml:math id="M33" display="inline"><mml:mi>M</mml:mi></mml:math></inline-formula>: 5–6) volcanic eruptions have been widely discussed in the
literature. There is an ongoing debate (Stevenson et al., 2017) about whether
tropical volcanic eruptions can lead to La Niña-like responses in
the same year (Anchukaitis et al., 2010; Li et al., 2013) or the (5) following years (Zanchettin et al., 2012) or to El Niño-like responses in up
to the 2 following years (e.g., Adams et al., 2003; Handler, 1984; Khodri
et al., 2017; Ohba et al., 2013; Predybaylo et al., 2017; Stevenson et al.,
2016). Discussions include the significance and mechanism of the results as
well as the eruption characteristics, latitude, season, and strength.</p>
      <p id="d1e533">Simulations of halogen-rich (and sulfur-rich) eruptions show that these can
have serious, long-lasting impacts on the ozone layer, with implications for
the surface environment through the increase in surface ultraviolet
radiation. In a 2D chemical transport model (CTM) study of the late Bronze
Age eruption of Santorini (<inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mi>M</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>), Cadoux et al. (2015) simulated the
decadal ozone depletion, mainly in the Northern Hemisphere, with a peak
depletion of 20 %–90 % depending on the degassing budget. In another study
using a 2D CTM (Klobas et al., 2017), (hypothetical) volcanic halogens were
included with the sulfur injection of Pinatubo, showing the ozone depletion
of 20 % lasting a few years under different future emission scenarios.
Using the Community Earth System Model version 1 (CESM1) coupled with the Whole Atmosphere Community Climate Model (WACCM) and a comprehensive coupled chemistry–climate model (CCM) with prescribed volcanic aerosols and SSTs, Brenna et al. (2019) simulated
an average Central American volcanic arc (CAVA) eruption with <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:mi>M</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">6.4</mml:mn></mml:mrow></mml:math></inline-formula>.
They found ozone depletion up to 20 % globally and lasting up to 10 years,
which was most pronounced over the Northern Hemisphere (NH) and dropped to
below present-day ozone hole conditions over Antarctica and the tropics.
Consequently, surface UV radiation increased by <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula> % over the
2 years, with potential impacts on human health, agriculture, and marine life.</p>
      <p id="d1e570">We are not aware of supereruption studies taking the combined effect of
sulfur and halogen injections in a fully coupled aerosol–chemistry–climate model ESM into account.</p>
      <?pagebreak page6524?><p id="d1e574">In this study we use the recently released CESM2 coupled with WACCM6 as the
atmospheric component, which allows us to newly investigate the coupling and
the feedback between volcanic aerosols, chemistry, radiation, climate, and
the Earth system after a sulfur- and halogen-rich supervolcanic eruption.
The primary goal of this paper is to investigate the combined effect of the
sulfur- and halogen-rich LCY supereruption on climate and environment. In
particular, we study the impacts of LCY by varying the eruption composition and
size on the following: (i) atmospheric burden of volcanic gases and aerosols; (ii) ozone and
UV; (iii) climate and environment; and (iv) ENSO. Finally, we compare our findings with other
model studies before we give a summary and conclusion. In a forthcoming
paper, we will investigate the impacts on stratospheric circulation in the
tropics.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Los Chocoyos eruption volatile estimates</title>
      <p id="d1e592">Using the recently published total erupted mass estimate for the LCY
eruption (Kutterolf et al., 2016) and the previously published petrologic
estimates of volatile concentrations for sulfur, chlorine, and bromine
(Metzner et al., 2014; Kutterolf et al., 2013, 2015), we calculate a new mass
of erupted volatiles for LCY as a starting point for defining the
stratospheric injections in our model simulations. The erupted volatile
masses were calculated using these estimates (<inline-formula><mml:math id="M37" display="inline"><mml:mo lspace="0mm">±</mml:mo></mml:math></inline-formula> uncertainties) as follows: <inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:mn mathvariant="normal">523</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">94</mml:mn></mml:mrow></mml:math></inline-formula> Mt sulfur (S), <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:mn mathvariant="normal">1200</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">156</mml:mn></mml:mrow></mml:math></inline-formula> Mt chlorine (Cl), and <inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.46</mml:mn></mml:mrow></mml:math></inline-formula> Mt bromine (Br).</p>
      <p id="d1e638">The determination of the volatile injection into the stratosphere during the LCY
eruption is based on a two-step approach. The first step is the
determination of the erupted magma mass. LCY fall deposits are well exposed on
land and within sediment and lacustrine cores on the Pacific seafloor as
well as Lake Petén Itzá to create isopach (thickness) maps
(Kutterolf et al., 2008a, 2016; Cisneros et al., 2020). These maps serve
as a basis for determining the total volume of erupted tephra by fitting straight
lines to data on plots of ln (isopach thickness) versus square root (isopach
area) following Pyle (1989) and Fierstein and Nathenson (1992) and
integrating to infinity, as described in Kutterolf et al. (2016, 2008b,
2007). Additionally, outcrops identified in the field, in satellite images,
and in Google Earth have been used to document regional thickness variations
and, finally, to determine the volume of the flow deposits by integrating the
results of different calculation methods (Cisneros et al., 2020). We
then converted the tephra volume to magma mass by following the procedure of
Kutterolf et al. (2008b, 2016) and using variable tephra densities from
proximal to distal deposits.</p>
      <p id="d1e641">The second step is the measurement of volatile contents in both melt
inclusion and matrix glasses (see Metzner et al., 2014; Kutterolf et al.,
2015). Applying the petrological method (Devine et al., 1984), matrix glass
represents the degassed melt after the eruption, and melt-inclusion glass
represents the volatile content prior to the eruption. The concentration
difference between melt-inclusion glasses and matrix glasses yields the volatile
fraction degassed during an eruption, and multiplication with the erupted magma
mass gives the mass of the emitted volatiles (e.g., Kutterolf et al., 2015).</p>
      <p id="d1e644">Both procedure steps are taken into account in the maximum combined
uncertainty for the volatile budget of each volatile, which is <inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">13</mml:mn></mml:mrow></mml:math></inline-formula> % for chlorine, <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula> % for sulfur, and <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">23</mml:mn></mml:mrow></mml:math></inline-formula> % for bromine (see also
Brenna et al., 2019).</p>
      <p id="d1e678">Finally, the petrological method might underestimate the volcanic emission
due to pre-eruptive magma fluid partitioning by a factor of 10 for sulfur
(Self and King, 1996) and a factor of 2 or more for halogens (Kutterolf et
al., 2015) as discussed earlier (Metzner et al., 2014; Krüger et al., 2015;
Brenna et al., 2019).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>CESM2(WACCM6)</title>
      <p id="d1e689">In this study we use the Community Earth System Model version 2 (CESM2)
(Danabasoglu et al., 2020) coupled with the whole atmosphere community
climate model version 6 (WACCM6) (Gettelman et al., 2019) as the atmospheric
component. The CESM2(WACCM6) is a comprehensive numerical model spanning the
whole atmosphere from the surface to the lower thermosphere, with the model top
at <inline-formula><mml:math id="M44" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 140 km altitude. The chemistry module includes the <inline-formula><mml:math id="M45" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math id="M46" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M47" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M48" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HO</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M49" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">ClO</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M50" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">BrO</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> chemical families, implementing 98 compounds and
<inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">300</mml:mn></mml:mrow></mml:math></inline-formula> reactions. It covers gas-phase, photolytic, and
heterogeneous reactions on three types of aerosols, including polar
stratospheric clouds, which form interactively in the model. Stratospheric
sulfuric acid aerosols are formed interactively from sulfur compounds and
modeled by the modal aerosol model (MAM4; Liu et al., 2016), which has been
adapted and extended for the stratosphere (Mills et al., 2016).
CESM2(WACCM6), as a coupled CCM, allows us to explore the coupling between
radiation, temperature, circulation, chemistry, and composition in the
atmosphere. The horizontal resolution is 0.95<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> longitude by
1.25<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitude, with 70 hybrid sigma–pressure layers from the
surface to <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mn mathvariant="normal">5.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> hPa (approximately 140 km altitude). The
quasi-biennial oscillation (QBO) is internally generated and has a period of
<inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">27</mml:mn></mml:mrow></mml:math></inline-formula> months, which is close to the observations (Gettelman et al.,
2019). However, the QBO amplitude is too weak and the oscillation does not
extend into the lowermost stratosphere, which can impact the QBO teleconnections
to the extratropics.</p>
      <p id="d1e823">The ocean model of CESM2(WACCM6) is the Parallel Ocean Program version 2 (POP2)
model running at <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M58" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1<inline-formula><mml:math id="M59" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> horizontal resolution, with 60 layers in the vertical.
CICE5 is the Los Alamos sea ice model for CESM2(WACCM6) (Bailey et al., 2018), which is
running on the same grid as POP2. The land surface model in CESM2(WACCM6) is
the community land model version 5 (CLM5) set up under 1850 conditions with
dynamic<?pagebreak page6525?> vegetation, interactive biogeochemistry (carbon, nitrogen, methane),
and prognostic crops (Fisher et al., 2019).</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Model experiments</title>
      <p id="d1e868">To model the impact of the LCY eruption on the atmosphere, we use the
petrological estimate for erupted sulfur and halogen masses as input. We inject
all 523 Mt of the erupted sulfur mass as 1046 Mt of <inline-formula><mml:math id="M60" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. For the
volcanic halogens, we inject only 10 % of the estimated erupted halogen
mass into the stratosphere as HCl and HBr and assume that the rest is
removed before reaching the stratosphere. We consider this a reasonably
conservative estimate for halogen injection efficiency based on observations
and simulations of volcanic plumes, which yield ranges from 2 % to 25 % (see
further discussions in Brenna et al., 2019, and Krüger et al., 2015). The
volcanic volatiles are injected into the model grid boxes at 14.6<inline-formula><mml:math id="M61" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and between 80 and 97.5<inline-formula><mml:math id="M62" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W, at a 24 km altitude. The
eruption date is set to January, since the eruption season is not known.
Injecting this huge amount of mass over one time step in a single grid box
was not possible due to model stability. Thus, spreading the injection over
longitude (80–97.5<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) and time (1–6 January) was
done as a model experiment compromise. We run the LCY Atitlán
supereruption model experiments under 1850 preindustrial conditions, which
is the closest available model setup for paleoclimate conditions.</p>
      <p id="d1e909">We run an ensemble of six simulations for the combined sulfur and halogen
forcings (LCY_full), starting from different ENSO
(positive, negative, and neutral) and QBO (easterly and westerly) states of the
control simulation (Ctr), which is a single 70-year simulation with
constant 1850 forcings. In addition, we perform two simulations (QBO
easterly and westerly, ENSO neutral, branching from the same Ctr
years as for LCY_full) with only the sulfur forcing
(LCY_sulf) to explore the differences in response
between the forcing scenarios. All ensemble members last 35 years. In all
simulations, background stratospheric concentrations of chlorine and bromine
are 0.45 ppbv and 10.2 pptv at the 10 hPa level, respectively, which is consistent
with preindustrial estimates (WMO, 2014). In addition to these main
experiments, we have performed two sensitivity simulations: one with a sulfur
injection reduced by a factor of 100 (LCY_1%sulf)
and one with full sulfur injection and 1 % halogen injection efficiency
instead of 10 % (LCY_1%halog). The experiments
are summarized in Table 1.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e915">Summary of model experiments. The injected volatile mass to the
stratosphere is based on the total erupted masses of 523 Mt sulfur, 1200 Mt
chlorine, and 2 Mt bromine by applying different injection efficiencies (see
Sect. 2 “Methods”).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="9">
     <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="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Ensemble name</oasis:entry>
         <oasis:entry colname="col2">Number of</oasis:entry>
         <oasis:entry colname="col3">Branch years</oasis:entry>
         <oasis:entry colname="col4">Initial</oasis:entry>
         <oasis:entry colname="col5">Initial</oasis:entry>
         <oasis:entry colname="col6">Length</oasis:entry>
         <oasis:entry colname="col7">Injected</oasis:entry>
         <oasis:entry colname="col8">Injected</oasis:entry>
         <oasis:entry colname="col9">Injected</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">ensemble</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">QBO state</oasis:entry>
         <oasis:entry colname="col5">ENSO</oasis:entry>
         <oasis:entry colname="col6">(yr)</oasis:entry>
         <oasis:entry colname="col7">sulfur</oasis:entry>
         <oasis:entry colname="col8">chlorine</oasis:entry>
         <oasis:entry colname="col9">bromine</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">members</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">at 30 hPa</oasis:entry>
         <oasis:entry colname="col5">state (ONI)</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">(Mt)</oasis:entry>
         <oasis:entry colname="col8">(Mt)</oasis:entry>
         <oasis:entry colname="col9">(Mt)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">CTR</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">70</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">–</oasis:entry>
         <oasis:entry colname="col9">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">LCY_full</oasis:entry>
         <oasis:entry colname="col2">6</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">E</oasis:entry>
         <oasis:entry colname="col5">Neutral</oasis:entry>
         <oasis:entry colname="col6">35</oasis:entry>
         <oasis:entry colname="col7">523</oasis:entry>
         <oasis:entry colname="col8">120</oasis:entry>
         <oasis:entry colname="col9">0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">5</oasis:entry>
         <oasis:entry colname="col4">E</oasis:entry>
         <oasis:entry colname="col5">La Niña</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8"/>
         <oasis:entry colname="col9"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">7</oasis:entry>
         <oasis:entry colname="col4">E</oasis:entry>
         <oasis:entry colname="col5">El Niño</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8"/>
         <oasis:entry colname="col9"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">8</oasis:entry>
         <oasis:entry colname="col4">W</oasis:entry>
         <oasis:entry colname="col5">El Niño</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8"/>
         <oasis:entry colname="col9"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">13</oasis:entry>
         <oasis:entry colname="col4">W</oasis:entry>
         <oasis:entry colname="col5">La Niña</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8"/>
         <oasis:entry colname="col9"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">20</oasis:entry>
         <oasis:entry colname="col4">W</oasis:entry>
         <oasis:entry colname="col5">Neutral</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8"/>
         <oasis:entry colname="col9"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">LCY_sulf</oasis:entry>
         <oasis:entry colname="col2">2</oasis:entry>
         <oasis:entry colname="col3">3, 20</oasis:entry>
         <oasis:entry colname="col4">E, W</oasis:entry>
         <oasis:entry colname="col5">Neutral</oasis:entry>
         <oasis:entry colname="col6">35</oasis:entry>
         <oasis:entry colname="col7">523</oasis:entry>
         <oasis:entry colname="col8">0</oasis:entry>
         <oasis:entry colname="col9">0</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">LCY_1%sulf</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">E</oasis:entry>
         <oasis:entry colname="col5">Neutral</oasis:entry>
         <oasis:entry colname="col6">10</oasis:entry>
         <oasis:entry colname="col7">5.23</oasis:entry>
         <oasis:entry colname="col8">0</oasis:entry>
         <oasis:entry colname="col9">0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">LCY_1%halog</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">E</oasis:entry>
         <oasis:entry colname="col5">Neutral</oasis:entry>
         <oasis:entry colname="col6">35</oasis:entry>
         <oasis:entry colname="col7">523</oasis:entry>
         <oasis:entry colname="col8">12</oasis:entry>
         <oasis:entry colname="col9">0.02</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><title>Surface UV calculations</title>
      <p id="d1e1326">We calculate the UV radiation at the surface using the tropospheric
ultraviolet and visible (TUV) radiation transport model (Madronich and
Flocke, 1997) using similar methods as seen in Brenna et al. (2019). In our
setup, the TUV solves the radiative transfer equations given the following parameters:
date of the year, position, time of day, column ozone values, and total AOD
at 550 nm while taking aerosol scattering into account. We run the TUV model
offline for each point in latitude and longitude and use an hourly temporal
resolution to acquire a representation of the variations in UV throughout the
year. As input to the TUV model, we give the averages of column ozone and AOD
over the first 5 years after the eruption for LCY_full and
LCY_sulf as well as for the control run to generate UV fields for
the eruption scenarios and for the control-run climatology.</p>
</sec>
<sec id="Ch1.S2.SS5">
  <label>2.5</label><?xmltex \opttitle{Oceanic Ni\~{n}o Index (ONI)}?><title>Oceanic Niño Index (ONI)</title>
      <p id="d1e1339">To select the initial conditions for the setup of the ensembles and to quantify
the impact of the volcanic eruptions on the ENSO, we calculate the Oceanic
Niño Index (ONI) from the model output. The ONI index is used
operationally by the National Oceanic and Atmospheric Administration (NOAA) to analyze the ENSO state
(<uri>https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php</uri>, last access: 13 May 2020). To calculate the index, the
average SST anomalies in the NINO3.4 region (5<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N–5<inline-formula><mml:math id="M65" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S,
120–170<inline-formula><mml:math id="M66" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) are filtered using a 3-month running mean
based on centered 30-year periods. If this index is above or below 0.5 K for
at least 5 consecutive months, we have an El Niño or La Niña,
respectively.</p>
      <p id="d1e1372">For our study we used the full control simulation as the baseline. As the
large temperature response caused by the simulated LCY eruption masks the
ENSO response initiated by the eruption, we have used relative sea surface
temperature anomalies (RSSTAs) instead of the SST anomalies following Khodri
et al. (2017). The RSSTA is calculated by removing the tropical mean
(20<inline-formula><mml:math id="M67" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S–20<inline-formula><mml:math id="M68" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) SST anomaly from the SST anomaly at
every point. This quantity better isolates the intrinsic ENSO signal than
standard SST anomalies (Khodri et al. 2017).</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results and discussion</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Atmospheric burdens of volcanic gases and aerosols</title>
      <p id="d1e1409">Using our modeling approach results in the atmospheric burdens of volcanic
gases and aerosol as summarized in Fig. 1. To compare the decay time of
the volcanic perturbations of sulfur and halogens between the different
eruption scenarios, we calculated the normalized burden anomalies in addition to the
standard anomalies. For this calculation, we divided the burden anomalies in each
scenario with the maximum burden anomalies in that scenario by providing
normalized values between 1 and 0. The normalized total sulfur burden
after the simulated eruptions has an <inline-formula><mml:math id="M69" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>-folding time (reduction by <inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mi>e</mml:mi></mml:mrow></mml:math></inline-formula>) of a
little more than 2 years (Fig. 1b). There is first a plateau for
<inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> year before the decay starts. The following <inline-formula><mml:math id="M72" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>-folding times
(<inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>) are shorter, at a bit less than 1 year. After
<inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> years nearly all of the sulfur has been<?pagebreak page6526?> removed from the
atmosphere. The total sulfur burden lifetimes are remarkably similar for all
four injection scenarios, even when the injection amounts differ by a factor
of 100. In contrast, the halogens have a longer first <inline-formula><mml:math id="M76" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>-folding time of
approximately 3 years, but the following <inline-formula><mml:math id="M77" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>-folding times are <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> year, which is similar to what we simulated for the total sulfur. After <inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> years nearly all of the halogens have been removed from the atmosphere
(not shown here).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e1525">Global evolution of sulfur, halogens, aerosols, and OH for the Los
Chocoyos simulations. <bold>(a)</bold> Total sulfur and halogen burden anomalies. <bold>(b)</bold> Normalized sulfur and halogen burdens. <bold>(c)</bold> <inline-formula><mml:math id="M80" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and sulfate aerosols
burdens. <bold>(d)</bold> Same as <bold>(b)</bold> but for <inline-formula><mml:math id="M81" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and sulfate aerosol burdens. <bold>(e)</bold> Global mean aerosol effective radius. <bold>(f)</bold> Time evolution of stratospheric OH
change relative to CTR. Dashed horizontal lines in <bold>(b)</bold> and <bold>(d)</bold> represent <inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mi>e</mml:mi></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/20/6521/2020/acp-20-6521-2020-f01.png"/>

        </fig>

      <p id="d1e1627">The conversion of injected <inline-formula><mml:math id="M85" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> into sulfuric acid aerosol is
significantly slowed down in the LCY_sulf, LCY_full, and LCY_1%halog scenarios when compared to the
LCY_1%sulf, into which we only injected 1 % of the sulfur
(Fig. 1d). The <inline-formula><mml:math id="M86" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>-folding time of the <inline-formula><mml:math id="M87" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> burden increases from
<inline-formula><mml:math id="M88" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M89" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6 months when the injected
<inline-formula><mml:math id="M90" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> mass is increased by a factor of 100. There is an additional
increase in lifetime to <inline-formula><mml:math id="M91" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> year when halogens are injected in
addition to <inline-formula><mml:math id="M92" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. This increase in the <inline-formula><mml:math id="M93" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> lifetime is caused by the
limited oxidizing capacity of the atmosphere (see also Bekki, 1995).
The main compound responsible for oxidizing <inline-formula><mml:math id="M94" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> to sulfuric acid is OH.
When the <inline-formula><mml:math id="M95" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> burden increases, the availability of OH is limited and
oxidation slows down. In addition, when halogens are injected the reactions
involving halogens also consume OH (Fig. 1f), which further limits the OH
available for <inline-formula><mml:math id="M96" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> oxidation, and thus further increases the <inline-formula><mml:math id="M97" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
lifetime (Fig. 1d). This OH-depletion effect may be partly offset by an
increase in water vapor and hence <inline-formula><mml:math id="M98" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HO</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in the stratosphere due to the
volcanic aerosol heating of the tropical tropopause. However, as the
tropical tropopause layer is warmed from 6 months up to 3 years after the
eruption (not shown here), we evaluate that these effects play a minor role
during the first half year after the eruption when the <inline-formula><mml:math id="M99" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> conversion mainly takes place.</p>
      <p id="d1e1788">The peak aerosol mass, when the sulfur burden is the same, depends on the
conversion time of <inline-formula><mml:math id="M100" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> into aerosol. Thus, the peak aerosol mass is
lower in the LCY_full scenario when compared to the
LCY_sulf (Fig. 1c). Even though the peak burdens are
different, the lifetime of the aerosol mass perturbation is very similar in
the two cases (Fig. 1d), which indicates that the removal mechanisms in these
scenarios are very similar. The global mean weighted aerosol effective
radius is very similar in these two scenarios, while in the
LCY_1%sulf the aerosols have much smaller effective radii
(factor <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">3.5</mml:mn></mml:mrow></mml:math></inline-formula> smaller) (Fig. 1e), as expected when the
injection is smaller (English et al., 2013; Pinto et al., 1989; Timmreck et
al., 2010). After the eruption of Pinatubo, the aerosol radii were estimated to
be approximately 0.5 <inline-formula><mml:math id="M102" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m (Russel et al., 1996), compared to 0.2 <inline-formula><mml:math id="M103" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m
for our LCY_1%sulf scenario and 0.7 <inline-formula><mml:math id="M104" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m for the other
scenarios, which might indicate that the aerosols are too small in our
model. Even though the aerosols are smaller in the LCY_1%sulf simulation, the removal timescale for the aerosols is similar to
the two other scenarios. This indicates that gravitational settling is
playing a minor role as a removal mechanism for the aerosol mass in this
model and that removal processes are happening on the transport timescale of
the stratosphere.</p>
      <p id="d1e1836">Since the maximum aerosol mass in the LCY_sulf is
<inline-formula><mml:math id="M105" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 25 % larger compared to the maximum mass in
LCY_full while the aerosol sizes are approximately the same,
we find that the peak AOD at 550 nm is larger in the LCY_sulf
(<inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>) when compared to the LCY_full scenario
(<inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula>) (Fig. 2a). This translates into a larger energy
imbalance at the top of the model in LCY_sulf (Fig. 2b).
The maximum radiative imbalance at the top of the model is approximately <inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> W m<inline-formula><mml:math id="M109" 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> in the LCY_sulf and <inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> W m<inline-formula><mml:math id="M111" 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> in the
LCY_full scenario. In both cases, an initial strong negative
net imbalance is followed by a small positive net imbalance after
<inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">3.5</mml:mn></mml:mrow></mml:math></inline-formula> years, and throughout the climate recovery period.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e1923">Total aerosol optical depth (AOD) at 550 nm and net radiative flux
anomalies at the top of the model in the four LCY eruption scenarios.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/20/6521/2020/acp-20-6521-2020-f02.png"/>

        </fig>

</sec>
<?pagebreak page6528?><sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Ozone and UV response</title>
      <p id="d1e1940">Global ozone collapses after the eruption in the LCY_full
scenario, with whole-column values decreasing by <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula> % to a
global mean value of 50 DU during years 2 to 3 after the eruption (Fig. 3a).
Ozone levels lower than present-day Antarctic ozone hole conditions
(<inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">220</mml:mn></mml:mrow></mml:math></inline-formula> DU) persist for 8 years over the whole globe (Figs. 3a, S1 in the Supplement).
Depletion shows a bimodal distribution in the stratosphere, with maximum
depletion in the upper (<inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> hPa) and lower (<inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> hPa) stratosphere (Fig. S2). In the lower stratosphere, where most of the
ozone mass is located, <inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">70</mml:mn></mml:mrow></mml:math></inline-formula> % of ozone is destroyed after 1 year, and this level of depletion persists for 7 years (not shown). Peak
depletion in the lower stratosphere is <inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">95</mml:mn></mml:mrow></mml:math></inline-formula> %. Significant
global mean ozone column reduction lasts for <inline-formula><mml:math id="M119" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula> years. In
the Antarctic, ozone hole conditions continue reoccurring annually for 15 years (Fig. S1b). Compared to LCY_full, the ozone response
in LCY_1%halog is smaller but reveals a similar response.
There was a substantial decrease in global mean column values of <inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">150</mml:mn></mml:mrow></mml:math></inline-formula> DU and a recovery after about 10 years; moreover, a larger and longer-lasting ozone
response was simulated for an average CAVA eruption with a <inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:mi>M</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> and a 10 %
halogen injection efficiency (Brenna et al., 2019).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e2038">Global mean time series of column ozone <bold>(a)</bold> surface temperature
anomalies <bold>(b)</bold>, sea ice area change <bold>(c)</bold>, precipitation change <bold>(d)</bold>, and annual
mean net primary production (NPP) change <bold>(e)</bold> in the LCY simulation
scenarios.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/20/6521/2020/acp-20-6521-2020-f03.png"/>

        </fig>

      <p id="d1e2062">In contrast, in the LCY_sulf scenario, the column ozone
increases by more than 100 DU in the first year after the eruption (Fig. 3a). This is caused by the increase in heterogeneous chemistry taking place
on the sulfate aerosols, which reduces the concentrations of ozone-destroying
<inline-formula><mml:math id="M122" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (Tie and Brasseur, 1995), and was modeled for very large and supervolcanic eruptions injecting sulfur into a preindustrial stratosphere with
low chlorine background levels (Muthers et al., 2015; Robock et al., 2009).
The ozone increase decays in about 3 years and is only slightly elevated
after that until post-eruption year 10 (Fig. 3a). The increase in ozone is
concentrated in the mid to high latitudes and mostly in the NH (Fig. S1c).</p>
      <p id="d1e2077">In Fig. 4 we present global maps of total AOD (panels a, b), the anomalies
and the climatologies for column ozone, and surface UV (panels g, h) averaged over
the first 5 years (referred to as pentadal) after the eruption for both
the LCY_full and LCY_sulf scenarios. The
spatial pattern in AOD is similar between the LCY_full and
LCY_sulf scenarios, with larger AOD anomalies in the
extratropics compared to a band of low AOD in the Southern Hemisphere (SH)
tropics, and the largest impacts in the NH (Fig. 4a, b). In
LCY_full, AODs are smaller over Antarctica than at lower
latitudes. This might be because transport to the Antarctic region is
suppressed by the strengthening of the westerlies winds surrounding the
southern polar vortex (not shown here), which acts as a transport barrier
for very large eruptions (Toohey et al., 2013). In LCY_sulf
the global mean AOD is larger (cf. Fig. 2a), which holds for the local
distribution over the globe as well (Fig. 4a, b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e2082">Maps of post-eruption 5-year (pentadal) means: AOD <bold>(a, b)</bold>, ozone
anomaly and climatology <bold>(c, d)</bold>, ozone change <bold>(e, f)</bold> and surface UVB weighted
for DNA damage change and climatology <bold>(g, h)</bold> for left side LCY_full <bold>(a, c, e, g)</bold> and right side LCY_sulf <bold>(b, d, f, h)</bold>.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/20/6521/2020/acp-20-6521-2020-f04.png"/>

        </fig>

      <p id="d1e2110"><?xmltex \hack{\newpage}?>Figure 4 (panel g and h) shows the calculated change in the amount of surface
ultraviolet radiation (UVB) weighted for DNA damage calculated by using the
radiation transport model TUV (see Methods). Taking into account both the
change in AOD and the change in column ozone in the TUV calculations, we find
very large but opposite signals in the two eruption scenarios. In the
LCY_full scenario, the largest increases in surface UV are
more than 1400 % in the Arctic and more than 1000 % in the Antarctic.
Changes are generally smaller towards the Equator, but no part of the planet
experiences less than a 200 % increase. The global average UV increase over
the 5-year period is 545 %. By contrast, in the LCY_sulf
scenario the UVB decreases by more than 80 % in the mid-to-high latitudes
of the NH and by <inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> % over most of the rest of the planet
(Fig. 4g, h). The UV response in our calculations is impacted by the ozone
levels and the AOD (Fig. 4a–f), and in LCY_full the AOD and
ozone effects are opposing each other with the ozone effects being
strongest, while in LCY_sulf they are both contributing to a
decrease in surface UV.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Climate and environmental response</title>
<sec id="Ch1.S3.SS3.SSS1">
  <label>3.3.1</label><title>Global surface temperature decreases for 30 years</title>
      <p id="d1e2139">The time series of global mean surface temperatures are shown in Fig. 3b. For
both scenarios, global mean surface temperature decreases more than 6 K and
returns to the climatological background after approximately 30 years. The peak
cooling in year 2 for LCY_sulf is more than 1 K greater than
that of LCY_full. If the aerosol response from the sulfur
injection (which is the same in these two scenarios) were the same, we would
expect the temperature response to be very similar. Instead, we interpret
this difference in surface temperature response due to the large difference
in peak AOD (Fig. 2a).</p>
      <p id="d1e2142">In Fig. 5a and b we show maps of surface temperature anomalies averaged
over the first 5 post-eruption years for the scenario LCY_full and the difference with LCY_sulf; LCY_sulf
is added to the Supplement (Fig. S3a). Higher surface temperatures in
LCY_full than LCY_sulf cover almost the whole
globe except for polar regions, which might be slightly cooler since ozone
depletion in the stratosphere is a negative radiative forcing on the global
climate system (Myhre et al., 2013). Temperature anomaly patterns are
relatively similar between the scenarios with surface cooling almost
globally and largest anomalies in the NH and over the continents. The
magnitudes are large (larger in LCY_sulf, cf. Fig. 3b),
even in a 5-year mean, with most continental areas experiencing at least
4 K cooling, and locally dropping to <inline-formula><mml:math id="M124" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> K over central Asia (Figs. 5a, b; S3a).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e2157">Maps of post-eruption 5-year (pentadal) means for
LCY_full with climatology <bold>(a, c, e, g)</bold> and the differences
between LCY_full and LCY_sulf <bold>(b, d, f, h)</bold> as follows:
surface temperature anomaly <bold>(a, b)</bold>, precipitation anomaly <bold>(c, d)</bold>, relative
precipitation anomaly <bold>(e, f)</bold>, and relative net primary production (NPP) anomaly <bold>(g, h)</bold>. White areas on
the NPP maps indicate invalid values.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/20/6521/2020/acp-20-6521-2020-f05.png"/>

          </fig>

<?xmltex \hack{\newpage}?>
</sec>
<?pagebreak page6529?><sec id="Ch1.S3.SS3.SSS2">
  <label>3.3.2</label><title>Sea ice–ocean changes for 20 years</title>
      <p id="d1e2195">The long-lasting global cooling response cannot be explained by the direct
radiative forcing from the volcanic aerosols, since the aerosols have mostly
disappeared after 5 years. In Fig. 3c we show the 12-month running mean
change in global mean sea ice area. Sea ice immediately responds to the
eruption-induced surface cooling with a peak increase in sea ice area
globally up to 40 % in LCY_full and up to 50 % in
LCY_sulf. Global sea ice area in the model experiments is not
back to the climatological values until at least 20 years after the eruption.
When inspecting NH sea ice and ocean changes more in detail (Fig. S4) we
find that the Arctic sea ice area is increased immediately after the eruption
and for more than 20 years with a maximum of <inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mn mathvariant="normal">7</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> (not shown), with
a 104 % increase in the second post-eruption year. This change is accompanied by a
reduction in ocean heat content (not shown) and a decrease in poleward ocean
heat transport at 60<inline-formula><mml:math id="M127" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N after the eruption, lasting from
post-eruption year 3 up to 20, with a maximum decrease of up to 0.1 PW (20 %) in post-eruption year 5 (Fig. S4). Thus, abrupt surface cooling and
decrease in upper ocean heat content in the NH leads to an immediate
increase in Arctic sea ice area in the first years. The reduced poleward
ocean heat transport that occurred at northern midlatitudes for up to 20 years sustains
the sea ice and climate surface cooling signal for more than 20 years in the
NH and also globally. Antarctic sea ice area reveals an interhemispheric-asymmetric response with a slightly later and shorter-lasting increase from
post-eruption years 1 to 5, and in contrast to Zanchettin et al. (2014) no
subsequent contraction occurs. The poleward ocean heat transport at 60<inline-formula><mml:math id="M128" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S
is much more variable than in the NH and does not show significant changes
over longer time periods in our simulations. This may be due to the later
supply of AOD to<?pagebreak page6530?> the Southern Hemisphere (SH) (Fig. S1). Thus, there is later
radiative forcing and smaller AOD and hence weaker surface climate
response in the SH compared to the NH (Figs. 4 and 5). For a tropical
January eruption, AOD is first distributed in the tropical belt in the first
few weeks before being transported poleward to the NH winter–spring season
and then to the SH in the following months (Fig. S1; see also Toohey et
al., 2011), which reflects the pathways and seasonality of the Brewer–Dobson
circulation (Plumb, 2002). Atmospheric circulation changes are expected to
be significant for the LCY eruption as was shown by Toohey et al. (2011,
2013).</p>
</sec>
<?pagebreak page6531?><sec id="Ch1.S3.SS3.SSS3">
  <label>3.3.3</label><title>Large impacts on precipitation and vegetation</title>
      <p id="d1e2248">A strong cooling of the atmosphere, like from an explosive volcanic
eruption, leads to decreased precipitation (Robock and Liu, 1994). In our
simulations, global mean precipitation (Fig. 3d) decreases <inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula> % (<inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn></mml:mrow></mml:math></inline-formula> mm d<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>) in the LCY_full scenario
and more than <inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> % (1 mm d<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>) in the LCY_sulf scenario. The LCY_sulf simulation is outside the 2
standard deviation range of the LCY_full ensemble. The return to
background climatological precipitation takes more than 10 years in both
scenarios. The minimum precipitation is<?pagebreak page6532?> found between 2 and 3 years after
the eruption, which closely follows the drop in the temperature signal.</p>
      <p id="d1e2305">Post-eruption pentadal precipitation patterns are shown in Fig. 5c–f
for LCY_full and the difference compared to LCY_sulf;
LCY_sulf is added to the Supplement (Fig. S3b, c).
Pentadal precipitation patterns are similar in both scenarios, with drying
over approximately two-thirds of the planet, a distinct southward shift of
the Intertropical Convergence Zone (ITCZ) in the Pacific and Atlantic to
the SH tropics, and wetting on the subtropical east sides of the oceanic
basins. In addition, there is a pronounced wetting signal (<inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> %) throughout the tropical east Atlantic, northern Africa, Middle
East, and the Arabian Peninsula. These are relatively dry regions, so an
absolute increase in precipitation (<inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> mm d<inline-formula><mml:math id="M136" 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>) corresponds to more
than a doubling of rainfall over large parts of this region. Comparing
LCY_full and LCY_sulf, the impacts are
generally weaker for the first scenario in which we find both drying and
wetting.</p>
      <p id="d1e2340">The strong AOD increase, global surface cooling, and decrease in
precipitation together result in a decrease in land plant productivity NPP of <inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> % during the first 3 years
after the eruption, followed by suppressed production during the next
<inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> years in both scenarios (Fig. 3e). NPP is especially
reduced over the NH land with peak decrease <inline-formula><mml:math id="M139" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">75</mml:mn></mml:mrow></mml:math></inline-formula> % over high
latitudes and a gradual weakening of this signal towards lower latitudes
(Figs. 5g, h, S3d, S5). However, over northern Africa and the surrounding
areas, where precipitation increases significantly due to the southward
shift of the ITCZ, we find a corresponding enhancement in land plant
productivity as shown by a strong increase in NPP in this region. This is by
far the strongest signal we detect in NPP, with more than 400 % gain in
some areas. Comparing LCY_full and LCY_sulf,
the NPP decrease is generally weaker for the first scenario for the global
mean and also for most of the globe locally.</p>
</sec>
</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><?xmltex \opttitle{El Ni\~{n}o conditions}?><title>El Niño conditions</title>
      <p id="d1e2383">The ENSO response of the simulations is shown in Fig. 6. Even though the
initial conditions of the experimental setup span different ENSO states,
there is a rapid convergence to a robust response in the LCY_full eruption scenario. The ONI-RSSTA values increase above 2 K during the first
3 years after the eruption. The model ensemble spread is suppressed for
5 years after the eruption before beginning to diverge again. The ONI
values exceed the range of natural variability in the control simulation
with two distinct maxima during post-eruption year 0 (September to
November) and 1 (November to January). The LCY_sulf and
LCY_1%halog simulations reveal an even longer lasting
strong El Niño response lasting into year 2 in accordance with the
longer-lasting volcanic forcing (Fig. 2).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e2388">ENSO response to the simulated Los Chocoyos eruption and control
run (CTR). <bold>(a)</bold> Ocean Niño Index (ONI) time series based on relative sea
surface temperature anomalies (RSSTA) for the LCY_full
ensemble, LCY_sulf and LCY_1%sulf (see
legend) in full color. The corresponding model years of the CTR without an
eruption (see branch years in Table 1) are indicated with pale colors. <bold>(b)</bold> Averaged RSSTA over the equatorial Pacific for the first 3 post-eruption
years as indicated by the gray box in <bold>(a)</bold>.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/20/6521/2020/acp-20-6521-2020-f06.png"/>

        </fig>

      <p id="d1e2406">The maps of RSSTA (Fig. 6b) for LCY_full (and
LCY_sulf not shown) depict a strong El Niño response
shifted to the SH and maximizing at 12<inline-formula><mml:math id="M140" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, which is coherent with the southward
shift of the ITCZ (Fig. 5).</p>
      <p id="d1e2419">This clearly shows that the simulated LCY eruption leads to pronounced El
Niño conditions that shifted to the SH tropics during the first 3
post-eruption years.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Comparison with other studies</title>
      <p id="d1e2431">Our simulations reveal very large climate impacts from the LCY sulfur- and
halogen-rich supereruption, which are larger than other recent simulation
studies of supereruptions. In Fig. 7 we show scatterplots comparing our
simulations of LCY to other simulations of supervolcanic eruptions using
sulfur-only injections (English et al., 2013; Jones et al., 2005; Metzner et
al., 2014; Robock et al., 2009; Timmreck et al., 2010).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><label>Figure 7</label><caption><p id="d1e2436">Scatterplots comparing our Los Chocoyos simulations to other
supersized volcanic eruption simulations from Jones et al. (2005), Robock et
al. (2009), Timmreck et al. (2010), English et al. (2013) and Metzner et al. (2014). Large to extremely large explosive eruptions not classified as
supereruptions are marked with open circles.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/20/6521/2020/acp-20-6521-2020-f07.png"/>

      </fig>

      <p id="d1e2445">Compared to other model studies with interactive aerosols of volcanic
eruptions of <inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mi>M</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>, our simulations show very large
maximum AODs and thus maximum surface climate impacts for a given sulfur
injection (Fig. 7a, b). The largest climate cooling for a supereruption
is achieved when<?pagebreak page6533?> using linearly scaled AOD values based on Pinatubo (Jones
et al., 2005; Robock et al., 2009), but this approach is simplified since
there are several feedbacks (i.e., self-limiting, scattering, and removal of
aerosols) that make the relationship between sulfur injection, aerosols,
radiative forcing, and climate highly nonlinear (i.e., Bekki, 1995; Metzner
et al., 2014; Pinto et al., 1989).</p>
      <p id="d1e2461">Limiting our comparison to model studies that use sulfur injection to
generate self-consistent AOD estimates, we see that our model experiments
show longer aerosol lifetime, larger radiative impacts, and larger surface
cooling per injected sulfur mass to the stratosphere than those studies
(English et al., 2013; Metzner et al., 2014; Timmreck et al., 2010). A
model intercomparison for the Tambora eruption revealed that version 5 of
WACCM also has the longest aerosol lifetime among compared models (Marshall
et al., 2018). The differences (Fig. 7) could be caused by different model
top levels, aerosol microphysics (bulk vs. modal vs. sectional modules),
radiation, advection, and depositions schemes (see discussions by English et
al., 2013; Marshall et al., 2018), as well as atmospheric chemistry (OH,
ozone, <inline-formula><mml:math id="M142" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>) and climate/ESM model differences (coupling, resolution,
clouds). Our comparison is limited by the fact that the simulations were not
part of a coordinated model intercomparison yet; thus, the model experiments
are all different when related to eruption strength, date, location, and
injection altitude. Volcanic aerosol climate model intercomparisons are in
progress now (see Timmreck et al., 2018; Zanchettin et al., 2016) and should
include extremely large to supersized eruptions, where the model spread is
even larger (Fig. 7) but observational evidence is lacking.</p>
      <p id="d1e2477">Even though the halogen injection efficiency for a supereruption like LCY
is highly uncertain, we expect that the effects of injected halogens would similarly be qualitatively independent of the magnitude of the injection as
our model results for 10 % and 1 % halogen injections reveal. Injecting
additional volcanic halogens into the stratosphere leads to ozone depletion
(this study; Brenna et al., 2019), and the interaction with the OH
availability impacts the aerosol formation which leads to smaller maximum AOD
and hence weaker surface cooling. Including the volcanic release of halogens
as well as sulfur should be part of future model intercomparisons focusing
on volcanic impacts on climate and ozone.</p>
      <p id="d1e2480">Figure 7c shows a clear, nearly linear relationship between peak surface
cooling and peak AOD. This is consistent with previous studies (Hansen et
al., 1980; Metzner et al., 2014; Timmreck et al., 2012).</p>
      <p id="d1e2483">When atmospheric temperatures drop after a volcanic eruption, changes in the
energy balance of the climate system lead to decreased global mean
precipitation (Iles et al., 2013; Robock and Liu, 1994). The global mean
precipitation response to the supervolcanic eruptions follows a nearly
linear relation with temperature (Fig. 7d) because larger<?pagebreak page6534?> cooling leads to larger
negative precipitation anomalies through a weakening of the global
hydrological cycle, since lower temperatures leads to lower relative humidity
in the troposphere. Our modeled southward shift of the ITCZ towards the
southern tropics is accompanied by increased precipitation across northern
Africa and the Middle East, which is also partly simulated in Robock et al. (2009) and Timmreck et al. (2010, 2012), but the area experiencing wetting
is larger in our simulations. The wetting of northern Africa and the Middle
East in our simulations leads to a strong increase in NPP in this area, which likely leads to a greening of the Sahara. Timmreck et al. (2012), with only
half the volcanic forcing that we simulate, show NPP maps (vegetation
impacts are simulated using an offline vegetation model), and here there is
very little change over the first 3 post-eruption years throughout this
region. While we cannot compare our NPP field directly to the changes in the
vegetation types presented in Robock et al. (2009), we note that they
simulate an increase in grass cover throughout northern Africa and parts of the
Middle East where there is very low vegetation cover in their control run,
which would imply an increase in NPP in this region as well.</p>
      <p id="d1e2486">We simulate pronounced El Niño conditions in our LCY supereruption
during the first 3 post-eruption years, which is superposed on a strong surface
cooling signal. El Niño conditions may be favored as discussed in more
detail by Emile-Geay et al. (2008) due to the uniform solar dimming that leads
to a thermostat mechanism (Clement et al., 1996) initiating air–sea
interaction in the equatorial Pacific. Our simulations of the sulfur- and
halogen-rich LCY supereruption in the northern tropics (14.6<inline-formula><mml:math id="M143" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N)
during January add another puzzle piece to the ongoing discussion of
volcanic eruption impacts on ENSO (see Introduction). A coordinated model
intercomparison study would help to shed more light on the different model
response and mechanism.</p>
      <p id="d1e2498">Atmospheric circulation changes at high latitudes (i.e., stratospheric polar
vortices, annular modes) are expected to be significant as was investigated
by Toohey et al. (2011, 2013). A follow-up LCY paper will investigate the
impacts on the stratospheric circulation in the tropics, the QBO, in more
detail.</p>
      <p id="d1e2502">Using a fully coupled ESM with interactive aerosols and atmospheric
chemistry is currently the best possible way to simulate the impacts of
supervolcanoes on the Earth system. Our model setup takes into account the
interactive coupling between most of the components of the Earth system,
including ocean, sea ice, biogeochemistry, land surface and vegetation
interactions. In addition, the inclusion of interactive aerosols and
atmospheric chemistry is crucial to correctly simulate the feedback between
the chemical composition of the atmosphere, aerosols and radiation. That
said, there is still considerable uncertainty in the impacts of volcanic
sulfur injections, particularly in the conversion of <inline-formula><mml:math id="M144" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> into sulfate
aerosol, aerosol size and the lifetime of the radiative perturbation. The
uncertainty in the Earth system's reaction to a given volcanic aerosol
radiative forcing seems to be smaller (cf. Fig. 7c). Two recent studies
suggest that LCY might have been the eruption of the last 100 kyr with the
largest climate impact. Cisneros et al. (2020) report a new and higher sulfur-mass estimate for LCY. Meanwhile, Toba is estimated to be less
sulfur-rich than previously assumed (Chesner and Luhr, 2010). In order to compare
these two supereruptions and petrological estimates, other archives such as
ice core records would be needed. However, no tephra has been identified in
Greenland and Antarctica ice cores for both eruptions up to now (Abbott et
al., 2012; Svensson et al., 2013). This model study together with a new
examination of the LCY eruption date and a higher mass estimate (Cisneros et
al., 2020) will hopefully stimulate upcoming studies finding
corresponding paleoproxies in ice cores, climate, and archeological
archives with high temporal resolution and precision.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Summary and conclusions</title>
      <p id="d1e2525">We simulated the Los Chocoyos (LCY) eruption of Atitlán under 1850
preindustrial conditions with 523 Mt sulfur, 1200 Mt chlorine, and 2 Mt
bromine emissions and assumed 10 % stratospheric injection efficiency for
the halogens. The model results may have been similar for LCY 84 000 years
ago, as we did not set up the simulations with observed initial conditions
and there are uncertainties in the volcanic emissions. As expected, if there are
large halogen emissions, the climate and environment response is different
than if the volcano only emits sulfur into the stratosphere. Overall, we
evaluate our model results to show a lower estimate of the possible climate
and environment response given the likely low estimates for our
petrologically derived volcanic emissions.</p>
      <p id="d1e2528">Our comprehensive aerosol chemistry Earth system model (ESM) study shows
that a sulfur- and halogen-rich tropical supereruption like LCY has massive
impacts on global climate and the environment that last at least 20 to 30 years.</p>
      <p id="d1e2531">In the model, enhanced volcanic sulfate burdens and aerosol optical depth
(AOD) persists for 5 years, while the halogens stay elevated for
<inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:math></inline-formula> years. Under preindustrial conditions, the eruption
leads to a global collapse of the ozone layer (80 % decrease) with global
mean values of 50 DU and increasing surface UVB by 550 % globally over
the first 5 years after the eruption. (In high latitudes the increase is
<inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">1000</mml:mn></mml:mrow></mml:math></inline-formula> %.) The ozone layer takes 15 years to recover. The
simulated volcanic eruption, at 14.6<inline-formula><mml:math id="M147" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N in January, shows an
asymmetric-hemispheric response with enhanced AOD, ozone, UV, and climate
signals over the Northern Hemisphere (NH).</p>
      <p id="d1e2563">The eruption cools the global climate, which lasts more than 30 years with the
peak AOD of <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> that leads to surface cooling <inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> K, and
precipitation and terrestrial net primary production decrease up to
30 % in the first 2 years. Locally, a wetting (<inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> %) and
strong increase in NPP (<inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">400</mml:mn></mml:mrow></mml:math></inline-formula> %) over northern Africa that is
simulated in the first 5 years is<?pagebreak page6535?> also related to a southward shift of the
ITCZ to the southern tropics. The global sea
ice area almost doubles, and the long-lasting surface cooling is sustained
by an increase in Arctic ice area, followed by a decrease of poleward ocean
heat transport at 60<inline-formula><mml:math id="M152" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N from year 3. Both changes last up to 20 years. The ocean responds with pronounced El Niño conditions in the
first 3 years by maximizing at 12<inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, which is coherent with the southward
shift of the ITCZ.</p>
      <p id="d1e2626">In contrast, simulations of LCY including sulfur, but neglecting halogens,
reveal a larger sulfate burden and maximum AOD (<inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>); hence, there is a
larger radiative forcing with more pronounced surface climate cooling
(<inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula> K) and reduced precipitation (25 %) globally, even though
spatial patterns of changes are similar to the simulations including
volcanic sulfur and halogens. The environmental impacts reveal the opposite
signal with a short-lived increase in column ozone of 100 DU (<inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> %) and decrease in UV (<inline-formula><mml:math id="M157" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> %) that lasts up to 3 years.</p>
      <p id="d1e2669">LCY is one of the largest volcanic eruptions over the past 100 kyr, and we
predict large impacts on the biosphere and thus any human populations at
that time. Finding paleoproxies that show the impact of LCY on climate and
the environment should be possible, given the large long-lasting impact from
our ESM simulations, but it will require high (subdecadal) temporal-resolution archives that use the eruption as a time marker.</p>
</sec>

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

      <p id="d1e2676">All simulation data will be archived in the
Norwegian National e-Infrastructure for Research Data (NIRD) Archive. The model output is available from the corresponding author upon request. Post-processing and visualization of data was performed with Python. The scripts and the post-processed data files are available on request from the corresponding author.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e2679">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-20-6521-2020-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-20-6521-2020-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e2688">HB performed the simulations, data analysis, and produced the figures. HB, KK,
and SK interpreted the results. MJM provided the CESM2(WACCM6) model and
supported HB in performing the simulations. HB wrote the manuscript with
contributions from all the coauthors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e2694">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e2700">This article is part of the special issue of “The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP) (ESD/ACP/CP/GMD inter-journal SI)”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e2706">The authors wish to thank the CESM model team at NCAR for providing the
CESM2(WACCM6) model code and for their technical support. The
simulations for this study were performed with resources provided by the Uninett Sigma2 AS, as part of the national infrastructure for high-performance computing and data storage in Norway. The authors also wish to thank Slimane Bekki, Alan Robock, and the two anonymous reviewers for the helpful comments that improved this paper.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e2711">The publication of this article is funded by the European Geosciences Union (EGU)
through the Atmospheric Sciences 2018 Outstanding Student Poster and PICO (OSPP) Award for Hans Brenna.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e2717">This paper was edited by Slimane Bekki and reviewed by Alan Robock and two anonymous referees.</p>
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    <!--<article-title-html>The potential impacts of a sulfur- and halogen-rich supereruption such as Los Chocoyos on the atmosphere and climate</article-title-html>
<abstract-html><p>The supereruption of Los Chocoyos (14.6°&thinsp;N,
91.2°&thinsp;W) in Guatemala  ∼ 84&thinsp;kyr ago was one of the
largest volcanic events of the past 100&thinsp;000 years. Recent petrologic data
show that the eruption released very large amounts of climate-relevant
sulfur and ozone-destroying chlorine and bromine gases (523±94&thinsp;Mt
sulfur, 1200±156&thinsp;Mt chlorine, and 2±0.46&thinsp;Mt bromine). Using the
Earth system model (ESM) of the Community Earth System Model version 2 (CESM2) coupled with the Whole Atmosphere Community Climate Model version 6 (WACCM6), we simulated the impacts of the sulfur- and halogen-rich Los Chocoyos eruption on the preindustrial Earth system.</p><p>Our simulations show that elevated sulfate burden and aerosol optical depth
(AOD) persists for 5 years in the model, while the volcanic halogens stay
elevated for nearly 15 years. As a consequence, the eruption leads to a
collapse of the ozone layer with global mean column ozone values dropping to
50&thinsp;DU (80&thinsp;% decrease) and leading to a 550&thinsp;% increase in surface UV over the
first 5 years, with potential impacts on the biosphere. The volcanic
eruption shows an asymmetric-hemispheric response with enhanced aerosol,
ozone, UV, and climate signals over the Northern Hemisphere. Surface climate
is impacted globally due to peak AOD of  &gt; 6, which leads to a maximum
surface cooling of  &gt; 6&thinsp;K, precipitation and terrestrial net
primary production decrease of  &gt; 25&thinsp;%, and sea ice area
increases of 40&thinsp;% in the first 3 years. Locally, a wetting
( &gt; 100&thinsp;%) and strong increase in net primary production (NPP) ( &gt; 700&thinsp;%)
over northern Africa is simulated in the first 5 years and related to a
southward shift of the Intertropical Convergence Zone (ITCZ) to the
southern tropics. The ocean responds with pronounced El Niño conditions
in the first 3 years that shift to the southern tropics and are coherent with the ITCZ change.</p><p>Recovery to pre-eruption ozone levels and climate takes 15 years and 30 years, respectively. The long-lasting surface cooling is sustained by an immediate increase in the Arctic sea ice area, followed by a decrease in poleward ocean heat transport at 60°&thinsp;N which lasts up to 20 years.</p><p>In contrast, when simulating Los Chocoyos conventionally by including sulfur
and neglecting halogens, we simulate a larger sulfate burden and AOD, more
pronounced surface climate changes, and an increase in column ozone.
By comparing our aerosol chemistry ESM results to other supereruption
simulations with aerosol climate models, we find a higher surface climate
impact per injected sulfur amount than previous studies for our different
sets of model experiments, since the CESM2(WACCM6) creates smaller aerosols with
a longer lifetime, partly due to the interactive aerosol chemistry. As the
model uncertainties for the climate response to supereruptions are very
large, observational evidence from paleo archives and a coordinated model
intercomparison would help to improve our understanding of the climate and
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