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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2023.1070458</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Anomalous DOC signatures reveal iron control on export dynamics in the Pacific Southern Ocean</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lopez</surname>
<given-names>Chelsea N.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/832119"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hansell</surname>
<given-names>Dennis A.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/156946"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Ocean Ecology Laboratory</institution>, <addr-line>Greenbelt, MD</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Science Systems and Applications, Inc. (SSAI)</institution>, <addr-line>Lanham, MD</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Ocean Sciences, Rosenstiel School of Marine, Atmospheric and Earth Science, University of Miami</institution>, <addr-line>Miami, FL</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Javier Ar&#xed;stegui, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Eva Ortega-Retuerta, UMR7621 Laboratoire d&#x2019;oc&#xe9;anographie microbienne (LOMIC), France; Leticia Cotrim Da Cunha, Rio de Janeiro State University, Brazil; Raquel Avelina, Rio de Janeiro State University, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Chelsea N. Lopez, <email xlink:href="mailto:chelsea.nicole515@gmail.com">chelsea.nicole515@gmail.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Marine Biogeochemistry, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1070458</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Lopez and Hansell</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Lopez and Hansell</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Here we shed light on two mechanisms that stimulate deep particle export <italic>via</italic> upper-ocean iron fertilization in the Southern Ocean: deep frontal mixing and melting of sea ice. We present data collected a decade apart in the Pacific sector of the Southern Ocean when, serendipitously, seasonal Antarctic ice melt was anomalously low (2008) and anomalously high (2017). In 2008, the low ice melt year, we concluded that vertical mixing of iron into the euphotic zone <italic>via</italic> deep-mixing fronts was the primary stimulant of export that reached depths of ~1500 meters. This process was evidenced by localized enhancements of dissolved organic carbon (DOC) concentrations up to 4 &#xb5;mol C kg<sup>-1</sup> beneath seven branches of fronts embedded within the Antarctic Circumpolar Current (ACC). We used these enhanced DOC concentrations in the bathypelagic as primary indications of the depths and locations of recent export, as it is a logical residue of such. In 2017, the year in which sea ice melt was anomalously high, we concluded that the main driver of a widespread export event to the seafloor was the lateral influx of iron within the melt. Indications of this event included substantial enhancements of DOC concentrations (2 - 6 &#xb5;mol C kg<sup>-1</sup>), elevated beam attenuation, and enhanced surface iron concentrations associated with a layer of low salinity water at a nearby station. Further, significant deficits of upper ocean silicic acid during the 2017 occupation indicated that deep export was likely stimulated by an iron-fueled diatom bloom. This analysis highlights the impact of iron supplied from frontal vertical mixing and sea ice melt on export and ultimately for long-term carbon sequestration in the Southern Ocean, as well as the utility of deep DOC enrichments as signatures of particle export. Understanding the impact that ice melt events have on carbon export is crucial given that anomalous events are occurring more often as our climate changes.</p>
</abstract>
<kwd-group>
<kwd>particle export</kwd>
<kwd>iron limitation</kwd>
<kwd>Southern Ocean</kwd>
<kwd>Antarctic circumpolar current</kwd>
<kwd>sea ice melt</kwd>
<kwd>biogeochemistry</kwd>
<kwd>biogeochemical cycling</kwd>
<kwd>dissolved organic carbon</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="77"/>
<page-count count="13"/>
<word-count count="4871"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>DOC concentrations that are higher than background refractory DOC (~34 &#x2013; 45 &#xb5;mol C kg<sup>-1</sup>; region dependent) in the interior ocean can exist as a residue of modern carbon export (<xref ref-type="bibr" rid="B47">Noji et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B29">Hansell et&#xa0;al., 2012</xref>). Though it is commonly thought that these signatures are fleeting and do not extend to the bathypelagic (<xref ref-type="bibr" rid="B28">Hansell and Carlson, 2015</xref>), our recent work reveals that significant DOC enhancements can span the entirety of the water column as a result of major export events (<xref ref-type="bibr" rid="B39">Lopez et al., 2020</xref>; <xref ref-type="bibr" rid="B38">Lopez and Hansell, 2021</xref>). In the aforementioned studies, we utilized these anomalous DOC signatures to pinpoint locations in which uniquely deep export occurred, then employed ancillary sensor, bottle, and satellite data to assess the underlying mechanisms driving that export. Here, we expand that work to the Southern Ocean, where DOC similarly serves as a useful qualitative proxy for bathypelagic export.</p>
<p>The Southern Ocean is a high-nutrient-low-chlorophyll region, where nitrate is plentiful but primary production is controlled by the concentration of bioavailable iron (<xref ref-type="bibr" rid="B72">Timmermans et&#xa0;al., 1998</xref>). Iron is a mandatory co-factor for various biological enzymes, such as the nitrogen-fixation enzyme nitrogenase as well as nitrate reductase (<xref ref-type="bibr" rid="B71">Timmermans et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B46">Morel and Price, 2003</xref>). An iron-starved autotrophic community quickly consumes the nutrient in the euphotic zone and as such, concentrations are consistently depleted. Previous research in the Southern Ocean has demonstrated the strong response of autotrophs to episodic inputs of iron <italic>via</italic> marked increases of phytoplankton biomass and carbon export efficiency (<xref ref-type="bibr" rid="B9">Boyd et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B3">Arrieta et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B7">Blain et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B8">Boyd et&#xa0;al., 2007</xref>). Though the subarctic Pacific is similarly iron limited, this micronutrient is supplied <italic>via</italic> iron-rich Asian dust (<xref ref-type="bibr" rid="B16">Duce and Tindale, 1991</xref>) whereas iron is largely supplied to the Southern Ocean through vertical upwelling of deep water, melting of iron-rich Antarctic ice, and continental sediment exchange (<xref ref-type="bibr" rid="B12">de Baar et&#xa0;al., 1995</xref>; <xref ref-type="bibr" rid="B66">Tagliabue et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B36">Laufk&#xf6;tter et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B58">Sergi et&#xa0;al., 2020</xref>). However, these processes are fluctuating as global climate and environmental conditions change (<xref ref-type="bibr" rid="B13">Deppeler and Davidson, 2017</xref>), thus a solid understanding of their impact on the biological pump is advantageous for future development of mitigation strategies.</p>
<p>Antarctic ice retains iron that is embedded through exchange with sediment and surface dust accumulation and is thus a major intermediary for iron supply to the Southern Ocean. Melt from both sea ice and continental ice impact the region, though the latter is largely confined to coastal zones and transported beneath the mixed layer and thus must be vertically upwelled to support autotrophs (<xref ref-type="bibr" rid="B53">Person et&#xa0;al., 2021</xref>). Both forms of ice melt can supply a considerable amount of bioavailable iron to surrounding waters, enhancing autotrophic carbon production and its subsequent export (<xref ref-type="bibr" rid="B34">Lannuzel et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B35">Lannuzel et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B36">Laufk&#xf6;tter et&#xa0;al., 2018</xref>). Discrete measurements have revealed high concentrations of bioavailable iron within ice, reaching levels up to 17.4 nM (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B35">Lannuzel et&#xa0;al., 2016</xref>), which is substantially higher than concentrations of only ~0.1 to 1 nmol kg<sup>-1</sup> reported in the subsurface Southern Ocean (<xref ref-type="bibr" rid="B12">de Baar et&#xa0;al., 1995</xref>; <xref ref-type="bibr" rid="B59">Sieber et&#xa0;al., 2021</xref>). The flux of iron sourced from ice melt into surrounding surface waters is estimated to be as high as 200 nmol m<sup>-2</sup> d<sup>-1</sup> in some regions (<xref ref-type="bibr" rid="B35">Lannuzel et&#xa0;al., 2016</xref>) and that ice-associated iron influx can locally increase carbon production and export up to 30 and 42%, respectively (<xref ref-type="bibr" rid="B52">Person et&#xa0;al., 2019</xref>). Production and export enhancements are likely even higher during extreme ice melt events that are becoming more common in the last decade (<xref ref-type="bibr" rid="B17">Fetterer et al., 2017</xref>). As such, temporal variability of ice melt dynamics is certainly impacting local biological community structure, carbon production, and export dynamics (<xref ref-type="bibr" rid="B51">Peck et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B18">Freeman et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B43">Moore et&#xa0;al., 2018</xref>), thus these impacts should be better quantified to predict future changes.</p>
<p>Fronts are another key source of iron supply for autotrophs because they locally enhance upward nutrient flux into the euphotic zone, thereby stimulating carbon production and deep particle export (<xref ref-type="bibr" rid="B24">Guidi et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B48">Ohman et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B38">Lopez and Hansell, 2021</xref>). We previously linked enhancements of bathypelagic DOC concentrations to overlying fronts in the North Pacific (30-45&#xb0;N), concluding deep export to be stimulated by nitrate injection into the euphotic zone (<xref ref-type="bibr" rid="B38">Lopez and Hansell, 2021</xref>). The Southern Ocean similarly hosts strong fronts within the turbulent Antarctic Circumpolar Current (ACC) that are known to stimulate vertical nutrient mixing (<xref ref-type="bibr" rid="B63">Sokolov and Rintoul, 2007</xref>), therefore we evaluate here the impact of these fronts on export during 2008 and 2017, again using DOC as a proxy.</p>    <p>Though much is being learned of the Southern Ocean through major projects such as SOCCOM (Southern Ocean Carbon and Climate Observations and Modeling) and GEOTRACES, here we demonstrate the value of using DOC signatures to shed light on processes that stimulate deep export. We explored data along a transect at 103&#xb0;W in 2008 and 2017, of which the DOC distributions differed substantially. Given such dichotomy, we centered our efforts on exploring the following questions:</p>
<list list-type="simple">
<list-item>
<p>(1) What is the relative importance of front-derived upwelling versus sea ice melt for supplying iron that stimulates deep, DOC-releasing export beneath the ACC?</p>
</list-item>
<list-item>
<p>(2) Did the relative influences of these two mechanisms result in the differences in the degree of export observed in 2008 and 2017?</p>
</list-item>
</list>
<p>By studying these controls on deep export, we can better understand the role of fronts within the ACC and large-scale ice melting in modulating carbon sequestration within the deep waters of the Pacific sector of the Southern Ocean.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<p>Our analysis targeted the waters along transect P18 (30-62&#xb0;S, 103&#xb0;W) of the U.S. Global Ocean Ship-Based Hydrographic Investigations Program (GO-SHIP; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) in austral summer of both 2008 and 2017 using a variety of open-source shipboard, sensor, and satellite data (See Data Availability).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A)</bold> Orthographic and <bold>(B)</bold> standard views of the Southern Ocean and its bathymetry. Location of the GO-SHIP transect P18 is shown. ACC circulation is depicted with red arrows. Maps were developed using Ocean Data View (<xref ref-type="bibr" rid="B56">Schlitzer, 2021</xref>) and not intended to be geographically exact.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1070458-g001.tif"/>
</fig>
<p>Discrete DOC samples for depths &gt;500 m for each of the P18 cruises were analyzed for statistical significance. The distribution of DOC concentrations in the bathypelagic were then compared to locations of distinct fronts within the ACC (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> and <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The location of the fronts in each year was determined by abrupt changes in salinity from Argo float salinity profiles (<xref ref-type="bibr" rid="B2">Argo, 2021</xref>; <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>) and with reference to previous characterizations of the area (<xref ref-type="bibr" rid="B62">Sokolov and Rintoul, 2002</xref>). Float profiles were present within 500 km of the transect latitude and within 30 days of the occupation. A total of 265 and 665 Argo float profiles in 2008 and 2017 were analyzed, respectively.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Upper ocean salinity distributions in <bold>(A)</bold> January 2008 and <bold>(B)</bold> January 2017 at 100&#xb0;W &#xb1; 5&#xb0; between 30-62&#xb0;S that identify the latitudes of the north (N), mid (M), and southern (S) branches of the Subantarctic Front (SAF) and the Polar Front (PF). The location of the northern branch of the Southern Antarctic Circumpolar Current Front is also identified. Profiles were obtained from 265 and 665 Argo float profiles, respectively (<xref ref-type="bibr" rid="B2">Argo, 2021</xref>). Contours for isohalines are in 0.025 increments. DOC concentrations [&#xb5;mol C kg<sup>-1</sup>] in <bold>(C)</bold> January 2008 and <bold>(D)</bold> January 2017 along transect P18.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1070458-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Acronyms and approximate latitudes of the Polar Front (PF) and Subantarctic Front (SAF), their respective branches, and the Southern Antarctic Circumpolar Current Front (SACCf-N).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Acronym</th>
<th valign="top" align="left">Name</th>
<th valign="top" align="center">2008</th>
<th valign="top" align="center">2017</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">SAF-N</td>
<td valign="top" align="left">Subantarctic Front (Northern branch)</td>
<td valign="top" align="center">38&#xb0;</td>
<td valign="top" align="center">35&#xb0;</td>
</tr>
<tr>
<td valign="top" align="left">SAF-M</td>
<td valign="top" align="left">Subantarctic Front (Mid branch)</td>
<td valign="top" align="center">42&#xb0;</td>
<td valign="top" align="center">39&#xb0;</td>
</tr>
<tr>
<td valign="top" align="left">SAF-S</td>
<td valign="top" align="left">Subantarctic Front (Southern branch)</td>
<td valign="top" align="center">46&#xb0;</td>
<td valign="top" align="center">46&#xb0;</td>
</tr>
<tr>
<td valign="top" align="left">PF-N</td>
<td valign="top" align="left">Polar Front (Northern branch)</td>
<td valign="top" align="center">50&#xb0;</td>
<td valign="top" align="center">52&#xb0;</td>
</tr>
<tr>
<td valign="top" align="left">PF-M</td>
<td valign="top" align="left">Polar Front (Mid branch)</td>
<td valign="top" align="center">54&#xb0;</td>
<td valign="top" align="center">54&#xb0;</td>
</tr>
<tr>
<td valign="top" align="left">PF-S</td>
<td valign="top" align="left">Polar Front (Southern branch)</td>
<td valign="top" align="center">57&#xb0;</td>
<td valign="top" align="center">57&#xb0;</td>
</tr>
<tr>
<td valign="top" align="left">SACCf-N</td>
<td valign="top" align="left">Southern Antarctic Circumpolar Current Front (Northern branch)</td>
<td valign="top" align="center">61&#xb0;</td>
<td valign="top" align="center">61&#xb0;</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Mixing dynamics within the Polar Front (PF) were assessed by comparing monthly mixed layer depths between January 2007 to January 2008 and January 2016 to January 2017. Temperature and salinity data from Argo float profiles present within 500 km of the transect longitude (103&#xb0;W) and between 50-60&#xb0;S were used to calculate mixed layer depth, defined as the first depth at which potential density exceeded surface density by 0.125 kg m<sup>-3</sup> (<xref ref-type="bibr" rid="B41">Monterey and Levitus, 1997</xref>).</p>
<p>Discrete upper-ocean iron measurements from the GEOTRACES GSci01 Antarctic Circumnavigation Expedition (<xref ref-type="bibr" rid="B75">Walton and Thomas, 2018</xref>), collected nearly contemporaneously with the P18 occupation in January 2017, were used in conjunction with salinity profiles to determine associations between iron concentrations and freshwater input <italic>via</italic> ice melt.</p>
<p>Ice area data from the National Snow and Ice Data Center (NSIDC; <xref ref-type="bibr" rid="B17">Fetterer et&#xa0;al., 2017</xref>) were then analyzed to investigate ice melt conditions during each year. Anomalies were identified by the difference in month-by-month sea ice area from the climatological mean in the 1978 &#x2013; 2021 record.</p>
<p>Finally, bottle silicic acid concentrations normalized to salinity 35 between the two P18 cruises were analyzed to determine differences in upper-ocean nutrient uptake between 2008 and 2017 occupations.</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Antarctic Circumpolar Current: Hydrographic context</title>
<p>The area of interest stretches from the subtropical gyre of the South Pacific to the high latitudes of the Southern Ocean (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), with the latter notoriously hosting the most turbulent waters in the global ocean (<xref ref-type="bibr" rid="B61">Smith et&#xa0;al., 2013</xref>). Turbulence arises from extreme westerly winds between 40-70&#xb0;S, aptly referred to as the &#x201c;Roaring 40&#x2019;s&#x201d;, &#x201c;Furious 50&#x2019;s&#x201d;, and &#x201c;Screaming 60&#x2019;s&#x201d;. These winds give rise to the strongest oceanic current; the Antarctic Circumpolar Current (ACC; <xref ref-type="bibr" rid="B61">Smith et&#xa0;al., 2013</xref>). Several fronts are embedded within the ACC that differ in strength, location, and mixing depth (<xref ref-type="bibr" rid="B23">Gille, 1994</xref>; <xref ref-type="bibr" rid="B64">Sokolov and Rintoul, 2009</xref>). Our focus was on the dynamics of the north, middle, and south branches of the Polar Front (PF; ~50-55&#xb0;N) and the Subantarctic Front (SAF, ~38-45&#xb0;), as well as the northern branch of the Southern Antarctic Circumpolar Current Front (SACCf-N). The naming conventions and approximate latitudes for each frontal branch are listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The northern boundary of the Polar Front (PF-N) is the location of the Antarctic Convergence (<xref ref-type="bibr" rid="B74">Verlencar et&#xa0;al., 1990</xref>), where water begins to subduct to form Antarctic Intermediate Water (AAIW). Overturning water circulation of the major water masses in this region is depicted in <xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S1</bold>
</xref> in Supplementary Material.</p>
</sec>
<sec id="s4">
<label>4</label>
<title>Observations: Dissolved organic carbon distributions</title>
<p>We were initially intrigued by this region due to the differences in the deep DOC concentrations between the 2008 and 2017 occupations of P18 (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>). A Mann-Whitney U test for DOC concentrations at depths &gt;500 meters indicated a statistical significance between the two distributions (p = 2.2 x 10<sup>-16</sup>). We report two main observations from these distributions; first, that the 2008 distribution contained narrow, vertically aligned features of elevated DOC concentrations (enhanced by 2-4 &#xb5;mol C kg<sup>-1</sup> from neighboring stations at the same depths) in the mesopelagic/upper bathypelagic (&lt;1500 m) at seven latitudes (~37&#xb0;, 42&#xb0;, 45&#xb0;, 50&#xb0;, 54&#xb0;, 58&#xb0;, and 61&#xb0;S; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). Secondly, DOC concentrations in 2017 were commonly 2-6 &#xb5;mol C kg<sup>-1</sup> higher than background throughout the deep bathypelagic at latitudes &gt;50&#xb0;S (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). The enhancements were higher than uncertainty of DOC measurement, which is &#xb1;1.5 &#xb5;mol C kg<sup>-1</sup>.</p>
</sec>
<sec id="s5" sec-type="discussion">
<label>5</label>
<title>Discussion</title>
<sec id="s5_1">
<label>5.1</label>
<title>Influence of iron injection <italic>via</italic> turbulent frontal mixing on deep export</title>
<p>In 2008, export down to ~1500 m appeared to be induced by vertical nutrient injection at the fronts, as indicated by spatially narrow enhancements of DOC concentrations largely confined to frontal locations (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>3A</bold>
</xref>). Physical subduction as an alternative input of DOC is not considered viable since winter mixing does not reach the depths to which the DOC enhancements extend (~1500 m; see discussion on winter mixed layer depths associated with <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref> below). In 2017, there appeared to be a modest correlation between mesopelagic/upper bathypelagic DOC enhancements and the locations of the fronts that also suggested front-associated export, but those enhancements were mainly overshadowed by ubiquitous DOC enrichment at latitudes &gt;50&#xb0;S. As an optical measure of particle abundance, enhancements in beam attenuation beneath the PF also provided evidence of deep export in 2017 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material S2</bold>
</xref>). To create such dichotomy between export, we questioned whether the mixing depths in the PF years differed substantially between the years.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>
<bold>(A)</bold> Mechanism stimulating front-associated export overlayed on 2008 DOC distribution (grayscale; higher concentrations are deeper gray). Dissolved iron (depicted as red spheres) is upwelled from depth at high latitudes, renewing the upper ocean, and subsequently flows northward within the Ekman Layer. Vertical mixing at the fronts cycle iron to the surface ocean, enhancing production and subsequent particle export (gray spheres) to the upper bathypelagic. Exported particles release DOC upon descent, resulting in narrow features of enhanced DOC concentrations beneath the fronts. <bold>(B)</bold> Mechanism stimulating ice-associated export overlayed on 2017 DOC distribution (gray shaded area). As sea ice melts, its associated iron (depicted as red spheres) is transported northward, supplying the euphotic zone with elevated concentrations of bioavailable iron that stimulates production. As a result, widespread particle export ensues (gray spheres), releasing DOC to the water column upon descent to the deep bathypelagic. At the PF-N, meltwater subducts, sinking iron out of the euphotic zone and stunting equatorward production. Ice melt can also be imported laterally with the flow of the ACC. Upper-ocean depths are not to scale. Circulation derived from <xref ref-type="bibr" rid="B10">Carter et&#xa0;al., 2022</xref> and <xref ref-type="bibr" rid="B28">Hansell and Carlson, 2015</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1070458-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Modeled mixed layer depths from <xref ref-type="bibr" rid="B41">Monterey and Levitus, 1997</xref>. Mixed layer depths are calculated as the first depth in which potential density exceeds 0.125 kg m<sup>-3</sup> of the surface density. The embedded red boxes indicate the approximate latitudes in which the widespread export event of 2017 had occurred.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1070458-g004.tif"/>
</fig>
<p>In austral winter (June &#x2013; November), the MLD within the PF typically reaches extraordinary depths estimated down to ~700 m followed by abrupt springtime shallowing (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref>, <xref ref-type="fig" rid="f5">
<bold>5A</bold>
</xref>; <xref ref-type="bibr" rid="B15">Dong et&#xa0;al., 2008</xref>). Phytoplankton blooms peak in December (<xref ref-type="bibr" rid="B42">Moore and Abbott, 2000</xref>), when MLDs shoal to ~100 m or less. Northward of the PF, the SAF hosts shallower winter MLDs that reach a maximum of only ~200 meters and is thus less capable of mixing iron into the euphotic zone from deeper depths. We focused on the mixed layer of the PF, where export was enhanced in 2017, and found evidence that differences in MLDs during winters preceding shipboard observations between occupations likely did not contribute to the dichotomy in apparent export (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). We initially postulated that the MLDs in 2016 would be deeper than 2007, logically resulting in enhanced vertical upwelling of iron and a higher degree of production/export, but instead winter MLDs in 2016 were generally ~100 m shallower. Alternatively, deep winter mixing in Antarctic waters has been argued to result in lower levels of biomass due to reduced ability for accumulation once adequate light levels become available (<xref ref-type="bibr" rid="B25">Hague and Vichi, 2018</xref>). The MLD data also provided evidence against this notion. Light becomes sufficient to support autotrophy in this region in November (<xref ref-type="bibr" rid="B4">Arrigo et&#xa0;al., 1997</xref>; <xref ref-type="bibr" rid="B69">Thomalla et&#xa0;al., 2011</xref>), but MLDs were nearly 200 meters deeper during November 2016 compared to 2007 (mean depth of 420 m versus 250 m, respectively). If biomass accumulation was stunted by deeper MLDs during light onset, we would have found the MLD in November 2007 (the less productive year) to be deeper than 2016; however, the opposite was evident. Further, the deep MLD of 420 m in 2017 would mix phytoplankton further out of the euphotic zone than in 2007, also stunting growth. As such, it appeared that differences in the relative MLDs did not directly influence the degree of bathypelagic export during the two years of interest.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Boxplot of mixed layer depths from <bold>(A)</bold> <xref ref-type="bibr" rid="B41">Monterey and Levitus, 1997</xref> database, <bold>(B)</bold> January 2007 to January 2008 calculated from Argo data, and <bold>(C)</bold> January 2016 to January 2017 calculated from Argo data. The position of the points on x-axis is trivial within each month.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1070458-g005.tif"/>
</fig>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Export stimulated by iron sourced from sea ice melt</title>
<sec id="s5_2_1">
<label>5.2.1</label>
<title>Surface iron concentrations in 2017</title>
<p>Elevated upper ocean (15 m) iron concentration at a station sampled nearby (69&#xb0;S, 100&#xb0;W, 0.184 nmol kg<sup>-1</sup>, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) on GEOTRACES ACE (Antarctic Circumpolar Expedition) was associated with a layer of freshwater, supporting the notion that the widespread export event was fueled by ice-associated iron influx, rather than vertical upwelling at fronts. Iron concentration at the nearby station was the highest measured at this depth of all stations sampled around the continent during the GEOTRACES expedition, which otherwise ranged from 0.010-0.150 nmol kg<sup>-1</sup>. Average summer surface salinity is lowest in our region of interest, indicating high input of ice melt in comparison to stations in other sectors of the Southern Ocean. The vertical profile of dissolved iron concentrations at this station was uniquely high at 15 meters yet drastically declined deeper in the euphotic zone, increasing again below 150 meters (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>, red line). This station was the only one that exhibited enhanced surface (15 m) iron concentration relative to the entire mixed layer. We would expect the entire mixed layer to be enriched in iron had it been sourced from below <italic>via</italic> nutrient injection, rather than enhancement at the surface. These data indicated the presence of iron sourced laterally <italic>via</italic> sea ice melt, which likely stimulated the major export event observed in 2017. Unfortunately, nearby data during 2007/2008 were not collected for comparison.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>
<bold>(A)</bold> Dissolved iron [nmol kg<sup>-1</sup>] concentrations at 15 meters from GEOTRACES cruise GSci01 (<xref ref-type="bibr" rid="B75">Walton and Thomas, 2018</xref>) occupied between 20/12/2016 to 19/01/2017 (black dots and white call boxes) overlayed on surface salinity data (&lt;5 m) from 10,361 stations sampled between December 1<sup>st</sup> and March 1<sup>st</sup> (austral summer). Salinity data were compiled from GLODAP, PACIFICA, and Southern Ocean Atlas Databases (<xref ref-type="bibr" rid="B77">Webb, 1994</xref>; <xref ref-type="bibr" rid="B65">Suzuki et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B32">Key, 2015</xref>; <xref ref-type="bibr" rid="B49">Olsen et&#xa0;al., 2016</xref>). <bold>(B)</bold> Dissolved iron concentration profile from station 68 (69&#xb0;S, 100&#xb0;W; red line) on cruise GSci01 and CTD salinity data from 2017 P18 (69&#xb0;S, 103&#xb0;W; black line). GSci01 salinity data are not displayed, as measurements above 15 m were not available.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1070458-g006.tif"/>
</fig>
</sec>
<sec id="s5_2_2">
<label>5.2.2</label>
<title>The 2016 ice retreat event</title>
<p>Though we found evidence of enhanced iron concentrations associated with ice melt near the region of interest in 2017, we aimed to discern whether the relative amount of ice-sourced iron was a factor contributing to the stark differences in the degree of export in 2008 and 2017. <xref ref-type="bibr" rid="B40">Meehl et&#xa0;al., 2019</xref> identified significant anomalies in atmospheric and oceanic conditions during late 2016/early 2017, particularly that seasonal Antarctic ice extent retreat occurred 46% faster and about a month earlier than usual (<xref ref-type="bibr" rid="B17">Fetterer et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B73">Turner et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B40">Meehl et&#xa0;al., 2019</xref>). The authors suggested the event to be influenced by anomalous northward migration of the westerlies resulting in dramatically weaker winds near the 60-65&#xb0;S belt (<xref ref-type="bibr" rid="B40">Meehl et&#xa0;al., 2019</xref>) and strong northward Ekman layer flow (<xref ref-type="bibr" rid="B57">Schlosser et&#xa0;al., 2017</xref>) that ultimately carries melt water and entrained iron into the ACC, potentially enhancing deep export.</p>
<p>Satellite-derived ice data revealed substantial differences in sea ice area between the years of interest (<xref ref-type="bibr" rid="B17">Fetterer et&#xa0;al., 2017</xref>), an indication that ice melt likely resulted in enhanced bathypelagic export observed in 2017. Ice area in December and January of the 2016/2017 occupation were an astonishing 3.0 million km<sup>2</sup> and 1.6 million km<sup>2</sup> less than 2007/2008, respectively (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), indicating that a high degree of ice melt was transported to the surface ocean in the latter occupation. November and December are crucial months for this region because light levels become sufficient around November while adequate stratification in the euphotic zone occurs in December, both of which are conditions required for biomass accumulation and subsequent export. However, the differences in total sea ice area do not directly determine the total degree of ice melt. Analysis of monthly accumulation and depletion of ice area in each year revealed that the total decline from maximum ice accumulation by December in 2016 was substantially higher; -8.47 million km<sup>2</sup> in comparison to only -7.75 on average (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). The extensive degree of ice melt present in 2016 would logically supply the region with iron, ultimately enhancing production and stimulating the widespread export event evident in 2017 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). Peculiarly, ice area decline by December 2007 was considerably less than the climatological mean, at only -5.65 million km<sup>2</sup>, which revealed that iron flux from melting sea ice was unusually low (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). As such, we found that the degree of sea ice melt during both years in this study was anomalous and we suggest that the differences in export are explained by the degree of ice melt supplied to the ACC (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8B</bold>
</xref>). This conclusion is further supported by the fact that deep DOC enhancements were largely limited to latitudes south of the location in which upper ocean waters subduct to form the AAIW (<xref ref-type="bibr" rid="B74">Verlencar et&#xa0;al., 1990</xref>; <xref ref-type="bibr" rid="B67">Talley, 2013</xref>). Subduction of these waters sinks the associated iron out of the euphotic zone, logically stunting equatorward production.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Sea ice area maps in <bold>(A)</bold> December 2007, <bold>(B)</bold> December 2016, <bold>(C)</bold> January 2008, and <bold>(D)</bold> January 2017. Percentages indicate ice concentration. Image courtesy of the National Snow and Ice Data Center, University of Colorado, Boulder.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1070458-g007.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Total ice area declines from maximum winter ice accumulation (million km<sup>2</sup>).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Mean Record</th>
<th valign="top" align="center">2007</th>
<th valign="top" align="center">2016</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Decline by November</td>
<td valign="top" align="center">-3.00</td>
<td valign="top" align="center">-3.38</td>
<td valign="top" align="center">-4.02</td>
</tr>
<tr>
<td valign="top" align="left">Decline by December</td>
<td valign="top" align="center">-7.75</td>
<td valign="top" align="center">-5.65</td>
<td valign="top" align="center">-8.47</td>
</tr>
<tr>
<td valign="top" align="left">Decline by January</td>
<td valign="top" align="center">-11.34</td>
<td valign="top" align="center">-11.32</td>
<td valign="top" align="center">-11.42</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>
<bold>(A)</bold> Monthly sea ice area [million km<sup>2</sup>] from 2007, 2016 and on average from the 1979 &#x2013; 2021 record. <bold>(B)</bold> Sea ice area anomaly (million km<sup>2</sup>) from the mean ice area record in November, December, and proceeding January (austral summer). The winters of interest (2007 and 2016) are shaded gray.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1070458-g008.tif"/>
</fig>
</sec>
</sec>
<sec id="s5_3">
<label>5.3</label>
<title>Evidence of an iron-fueled diatom bloom</title>
<p>A considerable deficit of silicic acid in the upper water column at latitudes &gt;50&#xb0;S in the 2017 occupation in comparison to 2008 (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>) indicated that a widespread diatom bloom was the driving force behind the major export event. Silicic acid concentrations in the upper water column of the PF in the low export year (2008) were ~1-2 &#xb5;mol kg<sup>-1</sup>, while concentrations in 2017 were only ~0.1-0.2 &#xb5;mol kg<sup>-1</sup>, indicating noteworthy uptake by these organisms. Given their large size and heavy, siliceous shells, diatoms can export fast-sinking bioavailable material on the order of weeks to months (<xref ref-type="bibr" rid="B60">Smetacek et&#xa0;al., 2012</xref>), logically resulting in the appearance of DOC signatures observed here. Their presence in the PF is well documented in underlying sediments (<xref ref-type="bibr" rid="B74">Verlencar et&#xa0;al., 1990</xref>; <xref ref-type="bibr" rid="B9">Boyd et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B54">Rigual-Hern&#xe1;ndez et&#xa0;al., 2015</xref>), and the species is particularly responsive to iron fertilization due to higher metabolic iron requirements; 75% of primary production has been attributed to the group during iron fertilization experiments (<xref ref-type="bibr" rid="B12">de Baar et&#xa0;al., 1995</xref>; <xref ref-type="bibr" rid="B9">Boyd et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B46">Morel and Price, 2003</xref>). The results here reveal that diatoms appear to thrive on ice-sourced iron in the PF, but export to the deep bathypelagic was not apparent northward in the SAF. Previous studies on community structure revealed the PF to be dominated by diatoms while smaller pico- and micro- plankton species dominate the SAF (<xref ref-type="bibr" rid="B18">Freeman et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B30">Henley et&#xa0;al., 2020</xref>), suggesting that the observed DOC signatures were distinctly associated with diatom-sourced particles that reach the bathypelagic.</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Upper ocean (&lt;400 m) silicic acid concentrations [&#xb5;mol kg<sup>-1</sup>] normalized to a salinity of 35 in <bold>(A)</bold> January 2008 and <bold>(B)</bold> January 2017 along P18 occupations (103&#xb0;W).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1070458-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>Implications for the future Southern Ocean</title>
<p>The Southern Ocean is estimated to contribute up to 40% of atmospheric CO<sub>2</sub> uptake, demonstrating its great importance for long term carbon sequestration (<xref ref-type="bibr" rid="B33">Khatiwala et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B14">DeVries, 2014</xref>). As such, understanding the Southern Ocean&#x2019;s response to anomalous conditions is critical for predicting coming changes in the biological pump. Unusual climate conditions and events are already regularly occurring, as extreme heatwaves, ice melt events, and anomalous westerly winds are gaining attention (<xref ref-type="bibr" rid="B73">Turner et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B40">Meehl et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B50">Parkinson, 2019</xref>). For instance, record high Antarctic temperatures were reported in summer of 2019/2020, succeeded by another heatwave in March 2022 that reached temperatures &gt; 40&#xb0;C higher than usual in some regions (<xref ref-type="bibr" rid="B55">Robinson et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B11">Colucci, 2022</xref>). Unfortunately, these anomalies may become less &#x201c;anomalous&#x201d; in coming years.</p>
<p>From this work, we reveal evidence that export to depths &lt;1500 m in 2007/2008 was stimulated by enhanced upward mixing of iron within turbulent fronts when iron influx from ice melt was low. In contrast, when iron input from ice melt was higher-than-average in 2016/2017, deep export occurred at latitudes south of the PF-N. Post-2016, the region continued a period of decreasing summer ice cover (<xref ref-type="bibr" rid="B40">Meehl et&#xa0;al., 2019</xref>) and increased frequency of anomalously low ice area. In the ice record (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8B</bold>
</xref>), we found that such events occurred in 2018 and 2021 and perhaps exhibited above average export as well. However, this study is limited to one longitude. Other sectors of the Southern Ocean are subject to other iron sources and have different ice melt dynamics (<xref ref-type="bibr" rid="B1">Adusumilli et&#xa0;al., 2020</xref>), therefore the conclusions from this study may not extrapolate to other regions. Regardless, it is plausible that increased frequency of such events will further increase deep export and become conduits for the deep sequestration of carbon by sedimentation, microbial respiration into inorganics, and addition to the refractory DOC pool. Though this process ultimately results in atmospheric carbon sequestration, dramatic sea ice melt events can cause a ripple effect that negatively impacts factors such as ocean temperature regulation and the lifecycles of local biological community (<xref ref-type="bibr" rid="B70">Thomas and Dieckmann, 2010</xref>). Given that there is a need to constrain the uncertainty of the impact that climate change has on the biological pump (<xref ref-type="bibr" rid="B31">Henson et&#xa0;al., 2022</xref>), this work provides some insight on the dramatic response within the Pacific sector of the Southern Ocean.</p>
</sec>
<sec id="s7" sec-type="conclusions">
<label>7</label>
<title>Conclusions</title>
<p>In this work, we furthered our understanding of the Southern Ocean&#x2019;s response to two prominent mechanisms of iron fertilization: deep frontal mixing and sea ice melt. We utilized signatures of enhanced DOC concentrations at bathypelagic depths to identify latitudes at which deep export occurred along the same transect in the Pacific sector occupied a decade apart (2008 vs. 2017). Antarctic ice area happened to be anomalous in both years, with high levels of ice melt present in 2017 and a low degree of melt in 2008, providing a unique opportunity to understand the impact of ice-associated iron on carbon export dynamics. We conclude that the primary influence on upper-bathypelagic export in 2008, when anomalously low ice melt was present, was upwelling/cycling of iron focused within well-known fronts in the area. In contrast, widespread export throughout the water column at latitudes &gt;50&#xb0;S in 2017, when ice melt was high, resulted from anomalously high influx of iron sourced from the melt. These conclusions present us with a dynamic view of these waters, revealing the significant and widespread influence that ice-sourced iron has on deep carbon export, as well as the role that ever-present fronts play when the influx of ice melt is low. Further, this work demonstrates the utility of bathypelagic DOC signatures as indications of modern carbon export, effectively allowing us to identify important locations and further explore the mechanisms driving that export. Given that anomalous events such as those discussed here are occurring more often, understanding the ocean&#x2019;s response to a changing Antarctic climate is key to predicting future changes in the biological pump.</p>
</sec>
<sec id="s8" sec-type="data-availability">
<title>Data availability statement</title>
<p>DOC, beam attenuation, and silicic acid data as well as sample collection methods are available from the Carbon Hydrographic Data Office (CCHDO) at <uri xlink:href="https://cchdo.ucsd.edu">https://cchdo.ucsd.edu</uri> for cruises 33RO20071215 and 33RO20161119. (<xref ref-type="bibr" rid="B5">Baringer and Johnson, 2021a</xref>, <xref ref-type="bibr" rid="B6">2021b</xref>; <xref ref-type="bibr" rid="B26">Hansell, 2021a</xref>, <xref ref-type="bibr" rid="B27">2021b</xref>; <xref ref-type="bibr" rid="B44">Mordy and Zhang, 2021a</xref>, <xref ref-type="bibr" rid="B45">2021b</xref>; <xref ref-type="bibr" rid="B19">Gardner, 2021a</xref>, <xref ref-type="bibr" rid="B20">2021b</xref>). Argo float data are available at <uri xlink:href="https://argo.ucsd.edu/data">https://argo.ucsd.edu/data</uri> (<xref ref-type="bibr" rid="B2">Argo, 2021</xref>). ACE GEOTRACES data are available from the <xref ref-type="bibr" rid="B22">GEOTRACES Intermediate Data Product (2021)</xref> at <uri xlink:href="https://www.geotraces.org/geotraces-intermediate-data-product-2021/">https://www.geotraces.org/geotraces-intermediate-data-product-2021/</uri>. Sea ice data presented are the final Goddard Space Flight Center (GSFC) product obtained from Version 3 of the Sea Ice Index, distributed by the National Snow and Ice Data Center (NSIDC) from platform/instruments from the Defense Meteorological Satellite Program (DMSP) -F13 SSM/I and -F17 SMMIS (<xref ref-type="bibr" rid="B17">Fetterer et al., 2017</xref>). Data are available at <uri xlink:href="https://nsidc.org/data/explore-data">https://nsidc.org/data/explore-data</uri>.</p>
</sec>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>CL conceived the idea, designed the project, completed data analysis, and wrote the manuscript. DH assisted with writing and project development. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s10" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by National Science Foundation Grant OCE 2023500 to DH and National Aeronautics and Space Administration (NASA) Grant 80NSSC18K0437 supporting CL and DH. The International GEOTRACES Programme is possible in part thanks to the support from the U.S. National Science Foundation (Grant OCE-1840868) to the Scientific Committee on Oceanic Research (SCOR).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The GEOTRACES 2021 Intermediate Data Product (IDP2021) represents an international collaboration and is endorsed by the Scientific Committee on Oceanic Research (SCOR). The many researchers and funding agencies responsible for the collection of data and quality control are thanked for their contributions to the IDP2021. Float data were collected and made freely available, thanks to the International Argo Program and the national programs that contribute to it (<uri xlink:href="https://argo.ucsd.edu">https://argo.ucsd.edu</uri> , <uri xlink:href="https://www.ocean-ops.org">https://www.ocean-ops.org</uri>). The Argo Program is part of the Global Ocean Observing System. We thank the U.S. NSF and NOAA funded project US GO-SHIP and the many researchers and crew who contributed to those efforts.</p>
</ack>
<sec id="s11" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Author CL is/was employed by Science Systems and Applications, Inc.</p>
<p>The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2023.1070458/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1070458/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
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