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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
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<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2025.1633617</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
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<title-group>
<article-title>Air-sea CO<sub>2</sub> exchange in the Eastern Atlantic and the Mediterranean Sea based on autonomous surface measurements</article-title>
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<name><surname>Martellucci</surname><given-names>Riccardo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<name><surname>Mauri</surname><given-names>Elena</given-names></name>
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<aff id="aff1"><label>1</label><institution>National Institute of Oceanography and Applied Geophysics (OGS)</institution>, <city>Trieste</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Environmental Sciences, Informatics and Statistics, Universit&#xe0; C&#xe0; Foscari</institution>, <city>Venice</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff3"><label>3</label><institution>Sorbonne Universit&#xe9;, CNRS, Laboratoire d'Oc&#xe9;anographie de Villefranche (LOV)</institution>, <city>Villefranche-sur-Mer</city>,&#xa0;<country country="fr">France</country></aff>
<aff id="aff4"><label>4</label><institution>Sorbonne Universit&#xe9;, CNRS OSU STAMAR &#x2013; UAR2017</institution>, <city>Paris</city>,&#xa0;<country country="fr">France</country></aff>
<aff id="aff5"><label>5</label><institution>NORCE Research, Bjerknes Centre for Climate Research.</institution><city>Bergen</city>,&#xa0;<country country="no">Norway</country></aff>
<aff id="aff6"><label>6</label><institution>Institute for the Study of Anthropic Impact and Sustainability in the Marine Environment, National Research Council of Italy</institution>, <city>Genoa</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff7"><label>7</label><institution>National Research Council-Institute of Marine Sciences (CNR-ISMAR)</institution>, <city>Trieste</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff8"><label>8</label><institution>GEOMAR Helmholtz Centre for Ocean Research Kiel</institution>, <city>Kiel</city>,&#xa0;<country country="de">Germany</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Riccardo Martellucci, <email xlink:href="mailto:rmartellucci@ogs.it">rmartellucci@ogs.it</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-20">
<day>20</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1633617</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Martellucci, Dentico, Coppola, Skjelvan, Giani, Pensieri, Cantoni, Cardin, Fourrier, Bozzano, Paulsen and Mauri.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Martellucci, Dentico, Coppola, Skjelvan, Giani, Pensieri, Cantoni, Cardin, Fourrier, Bozzano, Paulsen and Mauri</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-20">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>The ATL2MED mission, conducted between October 2019 and July 2020, investigated the variability of air&#x2013;sea CO<sub>2</sub> exchange in the Eastern Atlantic and the Mediterranean Sea. The main objectives were to assess the spatial and temporal variability of the seawater partial pressure of CO<sub>2</sub> (<italic>p</italic>CO<sub>2sw</sub>), identify its controlling physical and biogeochemical processes, estimate the CO<sub>2</sub> fluxes across the sea&#x2013;air interface, and evaluate the performance of neural network-based predictions (CANYON-MED) in contrasting oceanographic regions.</p>
</sec>
<sec>
<title>Methods</title>
<p>High-resolution autonomous measurements were collected using Saildrone Unmanned Surface Vehicles (USVs), complemented by fixed ocean stations, gliders, and research vessels. Data quality was ensured through cross-validation among platforms, despite challenges such as sensor drift caused by biofouling.</p>
</sec>
<sec>
<title>Results</title>
<p>The results reveal pronounced regional differences in <italic>p</italic>CO<sub>2sw</sub> and CO<sub>2</sub> fluxes, driven by thermal effects, biological activity, and physical mixing. In the Eastern Atlantic, upwelling systems off northwest Africa induced strong outgassing, while the western Mediterranean acted as a CO<sub>2</sub> sink during the spring bloom. Conversely, the Adriatic Sea exhibited episodic CO<sub>2</sub> outgassing, particularly in its southern and northern basins, associated with thermal stratification, river plumes, and coastal upwelling.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Saildrone measurements successfully resolved sub-mesoscale processes typically missed by fixed platforms, demonstrating their potential to enhance ocean CO<sub>2</sub> observations in under-sampled or logistically constrained regions. The good agreement with neural network-based estimates further supports the robustness of the dataset. Overall, these findings emphasize the value of high-resolution, multi-platform approaches for accurately quantifying CO<sub>2</sub> fluxes and improving predictive capabilities in a changing ocean.</p>
</sec>
</abstract>
<kwd-group>
<kwd>oceanic CO<sub>2</sub> system</kwd>
<kwd>air-sea CO<sub>2</sub> fluxes</kwd>
<kwd>autonomous platforms</kwd>
<kwd>East Atlantic</kwd>
<kwd>Subtropical Atlantic</kwd>
<kwd>Mediterranean Sea</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare financial support was received for the research and/or publication of this article. The ATL2MED mission received support regarding coordination, operation, and data deliverance from Saildrone Inc. and funding from the US company PEAK 6 Invest, GEOMAR Helmholtz Centre for Ocean Research (GEOMAR), Integrated Carbon Observation System -Ocean Thematic Centre (ICOS-OTC), the French National Centre for Scientific Research (CNRS), Oceanography Laboratory of Villefranche (LOV), the Oceanic Platform of the Canary Islands (PLOCAN), Ocean Science Centre Mindelo (OSCM), the Hydrographic Institute of Portugal (IH), Balearic Islands Coastal Observing and Forecasting System (SOCIB), Italian National Institute of Oceanography and Applied Geophysics (OGS), Helmholtz Zentrum Geesthacht (HZG), Centre Scientifique de Monaco (CSM), National Research Council-Institute of Marine Sciences (CNR-ISMAR), and National Research Council -Institute for the study of Anthropic Impact and Sustainability in the Marine Environment (CNR-IAS). PEAK 6 Invest was not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="8"/>
<table-count count="0"/>
<equation-count count="4"/>
<ref-count count="115"/>
<page-count count="20"/>
<word-count count="10054"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Marine Biogeochemistry</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The atmospheric carbon dioxide (CO<sub>2</sub>) concentration has increased by more than 50% since pre-industrial time and has currently reached a concentration of 419.31 ppm (<xref ref-type="bibr" rid="B34">Friedelingstein et&#xa0;al., 2025</xref>). The increase is due to human activities (<xref ref-type="bibr" rid="B53">IPCC, 2021</xref>) and would have been even greater if the ocean and land would have not absorbed approximately 28% each of the emissions and thus dampening the effect of anthropogenic CO<sub>2</sub>. The ocean interior stores about 60 times more CO<sub>2</sub> than the atmosphere, but this comes at a cost. Increasing levels of inorganic carbon in the ocean are affecting marine ecosystems by increasing hydrogen ion concentration and decreasing pH, which is referred to as ocean acidification (<xref ref-type="bibr" rid="B36">Gattuso and Hansson, 2011</xref>).</p>
<p>The variability of seawater CO<sub>2</sub> partial pressure (<italic>p</italic>CO<sub>2sw</sub>) results from a complex interplay of physical&#x2013;chemical, biological, and dynamic oceanic processes that regulate both the exchange of CO<sub>2</sub> across the air&#x2013;sea interface and the long-term oceanic carbon sequestration (<xref ref-type="bibr" rid="B115">Zeebe, 2012</xref>; <xref ref-type="bibr" rid="B76">Middelburg, 2019</xref>; <xref ref-type="bibr" rid="B102">Tanhua et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B1">Bakker et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B11">Chakraborty et&#xa0;al., 2023</xref>). Among the physical drivers, sea surface temperature (SST) plays a dominant role: warming reduces CO<sub>2</sub> solubility, thereby increasing <italic>p</italic>CO<sub>2sw</sub>, whereas cooling enhances CO<sub>2</sub> uptake (<xref ref-type="bibr" rid="B113">Weiss, 1974</xref>; <xref ref-type="bibr" rid="B54">Jersild and Ito, 2020</xref>; <xref ref-type="bibr" rid="B43">Gu et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B65">Li et&#xa0;al., 2025</xref>). Furthermore, increasing temperature also affects the thermodynamic constants of the carbonic acids equilibria shifting toward an increase of dissolved CO<sub>2</sub>. Salinity also modulates solubility: although its large-scale impact is comparatively small, short-term and regional variability in freshwater inputs from rivers, precipitation, or evaporation can significantly alter <italic>p</italic>CO<sub>2sw</sub> and delineate distinct biogeochemical regimes (<xref ref-type="bibr" rid="B54">Jersild and Ito, 2020</xref>; <xref ref-type="bibr" rid="B21">Curbelo-Herna&#x301;ndez et al., 2024</xref>). Ocean circulation and mixing further redistribute <italic>p</italic>CO<sub>2sw</sub>. Mesoscale and submesoscale eddies contribute to CO<sub>2</sub> variability in contrasting ways: cyclonic eddies are often associated with lower SST and enhanced net community production, thereby increasing the CO<sub>2</sub> uptake, while anticyclonic eddies may initially promote outgassing, this process can also enhance uptake through vertical <italic>p</italic>CO<sub>2sw</sub> transport (<xref ref-type="bibr" rid="B30">Ford et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B44">Guo and Timmermans, 2024</xref>; <xref ref-type="bibr" rid="B42">Gregor et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B66">Liu et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B65">Li et&#xa0;al., 2025</xref>). Upwelling events bring CO<sub>2</sub> and nutrient-rich waters to the surface, typically increasing pCO<sub>2sw</sub> but simultaneously stimulating primary production that draws it down, creating a dynamic interplay between physical and biological effects (<xref ref-type="bibr" rid="B22">Damien et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B11">Chakraborty et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B91">Roobaert et&#xa0;al., 2024</xref>). Vertical mixing and winter convection can also inject into surface CO<sub>2</sub>-rich waters from depth, leading to transient outgassing (<xref ref-type="bibr" rid="B89">Rodgers et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B84">Peter et&#xa0;al., 2025</xref>). Finally, air&#x2013;sea gas transfer is strongly influenced by wind speed and wave dynamics, with short-term fluctuations (days to weeks) leaving a pronounced imprint on CO<sub>2</sub> flux estimates (<xref ref-type="bibr" rid="B112">Wanninkhof, 2014</xref>; <xref ref-type="bibr" rid="B62">Landsch&#xfc;tzer et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B97">Song et&#xa0;al., 2025</xref>).</p>
<p>Biological processes exert an equally important control. Phytoplankton photosynthesis lowers surface pCO<sub>2sw</sub> through CO<sub>2</sub> fixation, whereas respiration and remineralization return CO<sub>2</sub> to the water column (<xref ref-type="bibr" rid="B11">Chakraborty et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B57">Kerr et&#xa0;al., 2025</xref>). Nutrient availability, particularly nitrate, phosphate, silicate, and iron, sets the potential for biological uptake, and as described before in upwelling region, physical and biological controls often become competing drivers and generate strong spatial and temporal variability (<xref ref-type="bibr" rid="B11">Chakraborty et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B89">Rodgers et&#xa0;al., 2023</xref>). To disentangle these contributions, <italic>p</italic>CO<sub>2sw</sub> variability is frequently decomposed into thermal and non-thermal components (see section 2.3). Finally, air&#x2013;sea gas transfer is strongly influenced by wind speed and wave dynamics, with short-term fluctuations (days to weeks) leaving a pronounced imprint on CO<sub>2</sub> flux estimates (<xref ref-type="bibr" rid="B112">Wanninkhof, 2014</xref>; <xref ref-type="bibr" rid="B62">Landsch&#xfc;tzer et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B97">Song et&#xa0;al., 2025</xref>).</p>
<p>This complexity underlines the need for sustained and co-located observations of both physical and biogeochemical variables, as emphasized by recent studies reporting a worrying decline in standardized datasets, especially after 2017 (<xref ref-type="bibr" rid="B102">Tanhua et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B46">Hassoun et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B1">Bakker et&#xa0;al., 2023</xref>). This gap is particularly evident in the Mediterranean Sea, where many sub-basins, straits, channels, and deep- and intermediate-water formation areas are still poorly investigated (<xref ref-type="bibr" rid="B46">Hassoun et&#xa0;al., 2022</xref>).</p>
<p>In this context the Integrated Carbon Observation System (ICOS-ERIC) provides high-quality measurements of CO<sub>2</sub> and other GHGs across the atmosphere, the European terrestrial biosphere, the Atlantic Ocean, and the Mediterranean Sea. Its ocean network, consisting of research vessels, commercial ships, and fixed observatories, focuses on air&#x2013;sea gas exchange, ocean acidification, and their impacts through long-term surface <italic>p</italic>CO<sub>2sw</sub> observations and ancillary variables (<xref ref-type="bibr" rid="B98">Steinhoff et&#xa0;al., 2019</xref>). The frequency of these measurements is limited by power constraints, moreover, some of the data obtained from sea campaigns do not support comprehensive studies of CO<sub>2</sub> flux variability at the basin scale over several years. To overcome these issues, recent European initiatives such as EMSO ERIC (<ext-link ext-link-type="uri" xlink:href="https://emso.eu">https://emso.eu</ext-link>), <xref ref-type="bibr" rid="B26">Euro-Argo One</xref> (<ext-link ext-link-type="uri" xlink:href="https://www.euro-argo.eu/EU-Projects/Euro-Argo-ONE-2025-2027">https://www.euro-argo.eu/EU-Projects/Euro-Argo-ONE-2025-2027</ext-link> focused on the BGC-Argo mission) and the <xref ref-type="bibr" rid="B37">GEORGE project</xref> (<ext-link ext-link-type="uri" xlink:href="https://george-project.eu/">https://george-project.eu/</ext-link>) have made efforts towards the technological development of sensors aimed at autonomous <italic>in situ</italic> measurements of a variety of variables from fixed ocean stations and mobile platforms, including <italic>p</italic>CO<sub>2sw</sub> and, for some observatories, also atmospheric <italic>p</italic>CO<sub>2</sub> (<italic>p</italic>CO<sub>2atm</sub>). While waiting for progress on these initiatives, the ocean community frequently uses membrane sensors which usually perform <italic>in situ</italic> analyses of gas with zero CO<sub>2</sub> but lack daily calibrations with one or more span gases, relying only on factory calibrations. To address these challenges, we organised a mission including two Unmanned Surface Vehicles (USV) from Saildrone Inc. (USA), which operated in the space between and around fixed ocean stations, gliders, and a research vessel (<xref ref-type="bibr" rid="B96">Skjelvan et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B70">Martellucci et&#xa0;al., 2024</xref>). By bridging the gaps between fixed ocean stations, this approach enabled the study of air-sea gas exchange over a vast area. The demonstration mission was especially notable during the COVID pandemic when access to marine platforms and ship visits were restricted.</p>
<p>The present study investigates the variability of CO<sub>2</sub> in seawater and of CO<sub>2</sub> fluxes between air and water. The CO<sub>2</sub> exchanges were estimated based on direct measurements of the wind speed as well as <italic>p</italic>CO<sub>2sw</sub> and <italic>p</italic>CO<sub>2atm</sub> carried out in the East Atlantic Ocean and in the Mediterranean Sea, focusing on the factors driving regional differences in these ocean areas. Moreover the data acquired by USVs were compared with <italic>p</italic>CO<sub>2</sub> measurements from fixed ocean stations and estimates obtained through neural network-based methods, i.e., CANYON-MED (<xref ref-type="bibr" rid="B31">Fourrier et&#xa0;al., 2020</xref>) which have proven to be a promising approach to overcome data limitations and fill the gaps in CO<sub>2</sub> measurements (e.g., <xref ref-type="bibr" rid="B61">Landsch&#xfc;tzer et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B3">Ben Mustapha et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B31">Fourrier et&#xa0;al., 2020</xref>, <xref ref-type="bibr" rid="B32">2022</xref>). The data used in this study are primarily derived from the ATL2MED mission that took place between 18 October 2019 and 17 July 2020 in the East Atlantic (encompassing both subtropical and tropical regions) and the Mediterranean Sea (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Several European academic institutions took part in the ATL2MED mission experiment, which encompassed fixed ocean stations, gliders, research vessels, and USVs (see <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref> in the <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary material</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The map shows the sailing route of the two Saildrone vehicles (SD 1030: black lines and SD 1053: red lines) during the ATL2MED mission from 19 October 2019 to 17 July 2020. The East Atlantic Ocean encompasses subtropical and tropical regions, the Mediterranean Sea includes the Strait of Gibraltar, the Alboran Sea, and several regions in the northwestern and central Mediterranean sea such as the Ligurian Sea, the Tyrrhenian Sea, the Ionian Sea and the Adriatic Sea.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1633617-g001.tif">
<alt-text content-type="machine-generated">Map showing the routes of two vessels, SD 1030 and SD 1053, marked in black and red, respectively. The paths traverse the East Atlantic Ocean into the Mediterranean Sea. Latitude and longitude lines are labeled.</alt-text>
</graphic></fig>
</sec>
<sec id="s2">
<label>2</label>
<title>Data and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study areas</title>
<p>The study area encompasses marine regions with diverse climatic and oceanographic characteristics, including the tropical Atlantic off the west African coast and various basins of the Mediterranean Sea.</p>
<p>The Tropical North Atlantic, is characterised by a clockwise circulation that drives water masses southwards along the northwestern coast of Africa as the Canary Current, which in turn feeds into the westward North Equatorial Current. The relatively cold Canary Current generates numerous eddies along the West African coast and is warming at a rate of 0.20 &#xb1; 0.05&#xa0;&#xb0;C decade<sup>-1</sup> over the period 1980-2020 (<xref ref-type="bibr" rid="B58">Kessler et&#xa0;al., 2022</xref>). The Eastern Boundary Upwelling System off northwest Africa is one of the four major Eastern Boundary Current systems within the trade wind belts of the subtropics. This system is driven by the interaction of winds and ocean currents, leading to the upwelling of nutrient and CO<sub>2</sub>-rich water to the surface (<xref ref-type="bibr" rid="B20">Cropper et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B28">Fischer et&#xa0;al., 2016</xref>). In the southern area (from 10&#xb0;N to 19&#xb0;N) weak seasonal coastal upwelling occurs in winter and spring. In the northern region, from the Canary Islands to the Strait of Gibraltar, the year-round upwelling is weak in winter and spring and intense in summer and fall (<xref ref-type="bibr" rid="B82">Pelegr&#xed; and Benazzouz, 2015</xref>). The permanent upwelling region (20-26&#xb0;N) is always a source of CO<sub>2</sub>, except in spring when biological consumption prevails, causing a sink of CO<sub>2</sub> (<xref ref-type="bibr" rid="B63">Lef&#xe8;vre et&#xa0;al., 2023</xref>). However, during autumn, <xref ref-type="bibr" rid="B40">Gonz&#xe1;lez-D&#xe1;vila et&#xa0;al. (2017)</xref> found that only the area between 20 and 23&#xb0;N acted as a source of CO<sub>2</sub>, while the rest was almost in equilibrium. Using merchant ships equipped with underway CO<sub>2</sub> systems from 2010 to 2022, <xref ref-type="bibr" rid="B63">Lef&#xe8;vre et&#xa0;al. (2023)</xref> showed that off the northwest African coast, the <italic>p</italic>CO<sub>2sw</sub> increased at a rate ranging from 1.82 &#x3bc;atm yr<sup>&#x2212;1</sup> to 2.10 &#x3bc;atm yr<sup>&#x2212;1</sup> close to the atmospheric increase and the pH decreased at a rate between 0.0016 and 0.0022 yr<sup>&#x2212; 1</sup>.</p>
<p>The Mediterranean Sea is characterised by a basin-wide counterclockwise circulation, with numerous cyclonic and anticyclonic eddies populating the entire basin as well as three areas of deep water formation (the northwestern Mediterranean, the Adriatic Sea, and the Aegean Sea). It is the only basin in the temperate latitudes where the deep open ocean convection reaches the seafloor (<xref ref-type="bibr" rid="B103">Testor et&#xa0;al., 2018</xref>). The Mediterranean Sea is a hotspot of climate change such as temperature increase (<xref ref-type="bibr" rid="B88">Reale et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B71">Marullo et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B60">Kubin et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B85">Pirro et&#xa0;al., 2024</xref>), decrease in precipitation, and occurrence and frequency of extreme events (e.g., <xref ref-type="bibr" rid="B105">Tintor&#xe9; et&#xa0;al., 2019</xref>). This area hosts 30% of the world&#x2019;s tourism and is crossed by 30% of the world&#x2019;s maritime trade in volume. It has been identified as an important region for anthropogenic carbon storage, where the column inventory can be much higher than in the Atlantic or Pacific Oceans (e.g., <xref ref-type="bibr" rid="B93">Schneider et&#xa0;al., 2010</xref>). The Mediterranean Sea is affected by ocean acidification, which is detectable even in deep water masses and could have a considerable impact on the biodiversity of Mediterranean ecosystems (<xref ref-type="bibr" rid="B46">Hassoun et&#xa0;al., 2022</xref>). In the coastal waters of the northwestern Mediterranean Sea the surface <italic>p</italic>CO<sub>2sw</sub> increases at a rate of 3.53 &#x3bc;atm yr<sup>-1</sup> and pH decreases by -0.0028 yr<sup>-1</sup> (<xref ref-type="bibr" rid="B55">Kapsenberg et&#xa0;al., 2017</xref>) whereas in the open sea the estimated increase of <italic>p</italic>CO<sub>2sw</sub> is of 2.30 &#xb1; 0.23 &#x3bc;atm yr<sup>-1</sup> (<xref ref-type="bibr" rid="B75">Merlivat et&#xa0;al., 2018</xref>). The northern Adriatic Sea is an effective CO<sub>2</sub> sink during winter, spring and autumn and a source in summer (<xref ref-type="bibr" rid="B8">Cantoni and Luchetta, 2024</xref> and references therein). In the northern Adriatic, <xref ref-type="bibr" rid="B7">Cantoni et&#xa0;al. (2024)</xref> found that pH decreases by 0.003 pH<sub>T</sub> units yr<sup>-1</sup>, similarly to the estimates for the Mediterranean open waters (<xref ref-type="bibr" rid="B114">Yao et&#xa0;al., 2016</xref>), for the surface coastal waters of the northwestern Mediterranean sea (<xref ref-type="bibr" rid="B55">Kapsenberg et&#xa0;al., 2017</xref>) and for the Strait of Gibraltar (<xref ref-type="bibr" rid="B35">Garcia-Iba&#xf1;ez et&#xa0;al., 2024</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Dataset</title>
<p>Only the facilities which performed <italic>p</italic>CO<sub>2sw</sub> measurements during the ATL2MED mission were considered in this work: the fixed ocean stations DYFAMED, W1M3A, E2M3A, PALOMA, and MIRAMARE, the R/V Meteor, and the Saildrone vehicle (hereafter SD) 1030. In addition, the data of SD 1053 were used to supplement the data of SD 1030. Details of the data, infrastructures, and various sensors, including CO<sub>2</sub> sensors used, were described in detail in <xref ref-type="bibr" rid="B96">Skjelvan et&#xa0;al. (2021)</xref>; <xref ref-type="bibr" rid="B70">Martellucci et&#xa0;al. (2024)</xref>, and in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>.</p>
<p>Moreover we use high resolution observations and output from numerical models provided by the Copernicus Marine Service:</p>
<list list-type="order">
<list-item>
<p>Global Ocean OSTIA Sea Surface Temperature and Sea Ice Analysis (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.48670/moi-00165">https://doi.org/10.48670/moi-00165</ext-link>) (<xref ref-type="bibr" rid="B41">Good et&#xa0;al., 2020</xref>).</p></list-item>
<list-item>
<p>High-resolution and ultra-high-resolution satellite data of the sea surface temperature of the Mediterranean Sea (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.48670/moi-00172">https://doi.org/10.48670/moi-00172</ext-link>) (<xref ref-type="bibr" rid="B6">Buongiorno Nardelli et&#xa0;al., 2013</xref>).</p></list-item>
<list-item>
<p><xref ref-type="bibr" rid="B39">Global Ocean Colour (Copernicus-GlobColour), Bio-Geo-Chemical, L4 (monthly and interpolated) from Satellite Observations (Near Real Time)</xref> (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.48670/moi-00279">https://doi.org/10.48670/moi-00279</ext-link>).</p></list-item>
<list-item>
<p><xref ref-type="bibr" rid="B74">Mediterranean Sea, Bio-Geo-Chemical, L4, monthly means, daily gapfree and climatology Satellite Observations (1997-ongoing)</xref> (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.48670/moi-00300">https://doi.org/10.48670/moi-00300</ext-link>) (<xref ref-type="bibr" rid="B111">Volpe et&#xa0;al., 2018</xref>).</p></list-item>
<list-item>
<p>Mediterranean Sea Physics Reanalysis (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.25423/CMCC/MEDSEA_MULTIYEAR_PHY_006_004_E3R1">https://doi.org/10.25423/CMCC/MEDSEA_MULTIYEAR_PHY_006_004_E3R1</ext-link>) (<xref ref-type="bibr" rid="B25">Escudier et&#xa0;al., 2020</xref>, <xref ref-type="bibr" rid="B24">2021</xref>; <xref ref-type="bibr" rid="B80">Nigam et&#xa0;al., 2021</xref>).</p></list-item>
<list-item>
<p><italic>Copernicus Climate Change Services:</italic> ERA5 wind data at individual levels from 1940 to present (DOI: 10.24381/cds.adbb2d47) (<xref ref-type="bibr" rid="B47">Hersbach et&#xa0;al., 2023</xref>).</p></list-item>
</list>
<p>Ancillary satellite and model data were used to evaluate the SST, sea surface salinity (SSS) and chlorophyll a (Chl-a) distribution during the mission. The data were represented as isosurface maps.</p>
<p>During the ALT2MED mission, the SD&#x2019;s speed was influenced by wind, ocean currents, and hull friction, which significantly reduced its velocity and complicated the mission planning and station visits. In addition, the long deployment (9 months) in biologically active regions led to sensor drift due to biofouling and technological limitations. Despite these challenges, extensive data cleaning and correction for SSS, dissolved oxygen (O<sub>2</sub>), and <italic>p</italic>CO<sub>2sw</sub> was carried out as documented in the recent publication by <xref ref-type="bibr" rid="B70">Martellucci et&#xa0;al. (2024)</xref>.</p>
<p>The SSS data from the SD were compared with a few available <italic>in situ</italic> SSS observations, which revealed substantial differences and drift. Therefore the SD SSS data were corrected by aligning daily averages with CMEMS reanalysis products (Global Ocean 1/12&#xb0; Physics Analysis and Forecast and Mediterranean Sea Physics Analysis and Forecast) using a linear regression method with a significance level of p &lt; 0.05, while no correction was applied during periods when initial differences were smaller than 0.1. O<sub>2</sub> data, lacking discrete validation samples, were adjusted through an in-air calibration approach adapted from the Argo program (<xref ref-type="bibr" rid="B5">Bittig et&#xa0;al., 2018</xref>) and a daily gain factor obtained from the ratio between expected and measured values was applied to raw O<sub>2</sub> data after excluding outliers. The corrected O<sub>2</sub> concentrations were consistent with variability driven by temperature and phytoplankton biomass as indicated by Chl-a. The pCO<sub>2</sub><sub>sw</sub> dataset was obtained from SD 1030, equipped with a PMEL ASVCO<sub>2</sub> system measuring xCO<sub>2</sub> with an infrared detector after equilibration, and although initially calibrated before deployment, post-mission evaluation revealed that the span gas was set too low, necessitating recalibration at PMEL and the derivation of new coefficients. The corrected SD <italic>p</italic>CO<sub>2sw</sub> showed consistency with station data, especially at DYFAMED and MIRAMARE, and reflected ecosystem variability when compared with temperature and satellite-derived Chl-a. These approaches allowed the production of a homogenized and reliable dataset despite the limited availability of <italic>in situ</italic> validation, supporting the use of SD data for the study of air&#x2013;sea interactions.</p>
<p>Here, we present the corrected data with the aim of interpreting the variability of the biogeochemical measurements.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Thermal and non-thermal components of <italic>p</italic>CO<sub>2sw</sub></title>
<p>The temporal and spatial variability of surface ocean <italic>p</italic>CO<sub>2sw</sub> can be attributed to several factors (e.g., <xref ref-type="bibr" rid="B115">Zeebe, 2012</xref>; <xref ref-type="bibr" rid="B76">Middelburg, 2019</xref>), leading to fluctuations across timescales from days to decades (<xref ref-type="bibr" rid="B11">Chakraborty et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B89">Rodgers et&#xa0;al., 2023</xref>). To distinguish these contributions, <italic>p</italic>CO<sub>2sw</sub> variability is decomposed into thermal and non-thermal components, with the latter encompassing the effects of circulation, changes in SSS, dissolved inorganic carbon (DIC), and total alkalinity (TA), and biological activity (<xref ref-type="bibr" rid="B27">Fassbender et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B89">Rodgers et&#xa0;al., 2023</xref>).</p>
<p>The decomposition of <italic>p</italic>CO<sub>2sw</sub> was following equations proposed by <xref ref-type="bibr" rid="B101">Takahashi et&#xa0;al. (2002)</xref>:</p>
<disp-formula id="eq1">
<mml:math display="block" id="M1"><mml:mrow><mml:mi>p</mml:mi><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mrow><mml:mn>2</mml:mn><mml:mi>s</mml:mi><mml:mi>w</mml:mi><mml:mo>_</mml:mo><mml:mi>N</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mi>p</mml:mi><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mrow><mml:mn>2</mml:mn><mml:mi>s</mml:mi><mml:mi>w</mml:mi></mml:mrow></mml:msub><mml:mo>&#xd7;</mml:mo><mml:mo>&#xa0;</mml:mo><mml:mi>e</mml:mi><mml:mi>x</mml:mi><mml:msup><mml:mi>p</mml:mi><mml:mrow><mml:mn>0.0423</mml:mn><mml:mo stretchy="false">(</mml:mo><mml:mi>S</mml:mi><mml:mi>S</mml:mi><mml:msub><mml:mi>T</mml:mi><mml:mrow><mml:mi>m</mml:mi><mml:mi>e</mml:mi><mml:mi>a</mml:mi><mml:mi>n</mml:mi></mml:mrow></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mo>&#xa0;</mml:mo><mml:mi>S</mml:mi><mml:mi>S</mml:mi><mml:msub><mml:mi>T</mml:mi><mml:mrow><mml:mi>o</mml:mi><mml:mi>b</mml:mi><mml:mi>s</mml:mi></mml:mrow></mml:msub><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math>
</disp-formula>
<disp-formula id="eq2">
<mml:math display="block" id="M2"><mml:mrow><mml:mi>p</mml:mi><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mrow><mml:mn>2</mml:mn><mml:mi>s</mml:mi><mml:mi>w</mml:mi><mml:mo>_</mml:mo><mml:mi>T</mml:mi><mml:mi>D</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mi>m</mml:mi><mml:mi>e</mml:mi><mml:mi>a</mml:mi><mml:mi>n</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>p</mml:mi><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mrow><mml:mn>2</mml:mn><mml:mi>s</mml:mi><mml:mi>w</mml:mi></mml:mrow></mml:msub><mml:mo stretchy="false">)</mml:mo><mml:mo>&#xd7;</mml:mo><mml:mo>&#xa0;</mml:mo><mml:mi>e</mml:mi><mml:mi>x</mml:mi><mml:msup><mml:mi>p</mml:mi><mml:mrow><mml:mn>0.0423</mml:mn><mml:mo stretchy="false">(</mml:mo><mml:mi>S</mml:mi><mml:mi>S</mml:mi><mml:msub><mml:mi>T</mml:mi><mml:mrow><mml:mi>o</mml:mi><mml:mi>b</mml:mi><mml:mi>s</mml:mi></mml:mrow></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mo>&#xa0;</mml:mo><mml:mi>S</mml:mi><mml:mi>S</mml:mi><mml:msub><mml:mi>T</mml:mi><mml:mrow><mml:mi>m</mml:mi><mml:mi>e</mml:mi><mml:mi>a</mml:mi><mml:mi>n</mml:mi></mml:mrow></mml:msub><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math>
</disp-formula>
<p>where <italic>p</italic>CO<sub>2sw</sub> (&#x3bc;atm) was measured during the study period, <italic>mean</italic>(<italic>p</italic>CO<sub>2sw</sub>) is the mean <italic>p</italic>CO<sub>2sw</sub> over the studied period in every study area (as shown in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>), SST<sub>mean</sub> (&#xb0;C) is the average sea surface temperature (during the whole demonstration mission), and SST<sub>obs</sub> (&#xb0;C) is the <italic>in situ</italic> sea surface temperature. The <italic>p</italic>CO<sub>2sw_TD</sub> refers to changes in <italic>p</italic>CO<sub>2sw</sub> driven only by temperature variations, while the <italic>p</italic>CO<sub>2sw_N</sub> refers to changes in <italic>p</italic>CO<sub>2sw</sub> that are not directly caused by temperature variations but rather by other factors such as biological activity (photosynthesis and respiration), mixing or advective processes, and gas exchange with the atmosphere.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Time series of <bold>(A)</bold> sea surface temperature (SST; &#xb0;C), <bold>(B)</bold><italic>p</italic>CO<sub>2sw</sub> (&#x3bc;atm) and <italic>p</italic>CO<sub>2atm</sub> (&#x3bc;atm) drown in black and yellow respectively, <bold>(C)</bold> fluxes of CO<sub>2</sub> (mmol CO<sub>2</sub> m<sup>-2</sup> d<sup>-1</sup>) and wind speed (m s<sup>-1</sup>) represented by the magenta line and grey dots respectively acquired by the SD 1030. The periods without data correspond to the different maintenance events, see <xref ref-type="bibr" rid="B70">Martellucci et&#xa0;al. (2024)</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1633617-g002.tif">
<alt-text content-type="machine-generated">Three-panel chart depicting environmental data from November 2019 to June 2020 across different sea regions. Panel a shows temperature fluctuations, with peaks in the East Atlantic and Adriatic Seas. Panel b illustrates partial pressure of carbon dioxide (pCO2) in seawater and atmosphere, highlighting increased levels in the Adriatic Sea. Panel c displays CO2 flux and wind speed, with significant variability. Color-coded backgrounds represent different regions: East Atlantic, Alboran Sea, Ligurian Sea, and Adriatic Sea.</alt-text>
</graphic></fig>
<p>The ratio (R) of between the thermal (<italic>p</italic>CO<sub>2sw_TD</sub>) and non-thermal (<italic>p</italic>CO<sub>2sw_N</sub>) components is used to identify the dominant driver of variability. An R value greater than one indicates that thermal effect prevail, whereas an R value less than one points to the dominance of non-thermal contribution.</p>
<disp-formula id="eq3">
<mml:math display="block" id="M3"><mml:mrow><mml:mi>R</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mo>=</mml:mo><mml:mo>&#xa0;</mml:mo><mml:mi>p</mml:mi><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mrow><mml:mn>2</mml:mn><mml:mi>s</mml:mi><mml:mi>w</mml:mi><mml:mo>_</mml:mo><mml:mi>T</mml:mi><mml:mi>D</mml:mi></mml:mrow></mml:msub><mml:mo>&#xa0;</mml:mo><mml:mo stretchy="false">/</mml:mo><mml:mo>&#xa0;</mml:mo><mml:mi>p</mml:mi><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mrow><mml:mn>2</mml:mn><mml:mi>s</mml:mi><mml:mi>w</mml:mi><mml:mo>_</mml:mo><mml:mi>N</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>
</disp-formula>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>CO<sub>2</sub> flux calculations</title>
<p>The fluxes of CO<sub>2</sub> (<italic>FCO<sub>2</sub></italic>) were calculated according to:</p>
<disp-formula id="eq4">
<mml:math display="block" id="M4"><mml:mrow><mml:mi>F</mml:mi><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mo>&#xa0;</mml:mo><mml:msub><mml:mi>K</mml:mi><mml:mn>0</mml:mn></mml:msub><mml:mo>&#xa0;</mml:mo><mml:mo>&#xd7;</mml:mo><mml:msub><mml:mi>k</mml:mi><mml:mi>s</mml:mi></mml:msub><mml:mo>&#xa0;</mml:mo><mml:mo>&#xd7;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mi>p</mml:mi><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mrow><mml:mn>2</mml:mn><mml:mi>s</mml:mi><mml:mi>w</mml:mi></mml:mrow></mml:msub><mml:mo>&#xa0;</mml:mo><mml:mo>&#x2212;</mml:mo><mml:mo>&#xa0;</mml:mo><mml:mi>p</mml:mi><mml:mi>C</mml:mi><mml:msub><mml:mi>O</mml:mi><mml:mrow><mml:mn>2</mml:mn><mml:mi>a</mml:mi><mml:mi>t</mml:mi><mml:mi>m</mml:mi></mml:mrow></mml:msub><mml:mo stretchy="false">)</mml:mo><mml:mo>&#xa0;</mml:mo></mml:mrow></mml:math>
</disp-formula>
<p>where <italic>K<sub>0</sub></italic> is the solubility of CO<sub>2</sub> (mol m<sup>-3</sup> atm<sup>-1</sup>), <italic>k<sub>s</sub></italic> is the gas transfer velocity (cm h<sup>-1</sup>) from <xref ref-type="bibr" rid="B100">Sweeney et&#xa0;al. (2007)</xref>, and <italic>p</italic>CO<sub>2sw</sub> and <italic>p</italic>CO<sub>2atm</sub> were measured from the SD 1030 using an ASVCO<sub>2</sub> sensor (<xref ref-type="bibr" rid="B99">Sutton et&#xa0;al., 2014</xref>). Wind speed was measured on both SDs, but for the SD 1030, wind measurements were discontinued in March 2020. Additional information was therefore required to determine the wind speed over the entire duration of the mission. When the two SDs were closer than 12 nautical miles, the wind measurements of SD 1053 were used to compute the CO<sub>2</sub> fluxes. When the distance between the two SD was larger, wind data from the ERA5 reanalysis product (0.25&#xb0; x 0.25&#xb0; grid; <xref ref-type="bibr" rid="B47">Hersbach et&#xa0;al., 2023</xref>) were used to fill the gaps. Finally, to achieve the true wind speed, the wind speed was corrected for the movement of the SD.</p>
<p><xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref> (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>), compares the mole fraction of atmospheric CO<sub>2</sub> (<italic>x</italic>CO<sub>2atm</sub> in ppm) measured by the SD 1030 with <italic>x</italic>CO<sub>2atm</sub> measurements from two atmospheric stations in the East Atlantic and one in the Mediterranean Sea: Iza&#xf1;a Atmospheric Observatory (Tenerife, Spain), Cape Verde Atmospheric Observatory (CVAO, Cape Verde), and ENEA Station for Climate Observations (Lampedusa, Italy). The deviation between the <italic>x</italic>CO<sub>2atm</sub> measurements of the atmospheric stations and the SD 1030 varied between 3.5 and 4.6 ppm during the first 4 months of the demonstration mission (October 2019 - February 2020) and was reduced to 2.5 ppm in June 2020 (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>). This deviation might be related to the prevailing winds and the distance between the atmospheric stations and SD 1030, but further investigation is beyond the scope of this work.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Neural-network derived carbon data</title>
<p>Carbonate system variables (DIC, TA and pH) were predicted along the SD tracks using the CANYON-MED neural network (<xref ref-type="bibr" rid="B31">Fourrier et&#xa0;al., 2020</xref>). This neural network was employed in the Western Mediterranean Sea, and produced estimates for DIC, TA, pH, and nutrients. From this, the <italic>p</italic>CO<sub>2sw</sub> long trends in surface, intermediate, and deep waters in the Western Mediterranean were predicted (<xref ref-type="bibr" rid="B32">Fourrier et&#xa0;al., 2022</xref>). In brief, neural network ensembles for each variable were developed and the network was trained with a reference dataset, facilitating a densification of the dataset. This neural network-based method allows the prediction of the carbonate system variables from geolocation, time of sampling, pressure, SST and O<sub>2</sub> concentration specifically for the Mediterranean Sea. In this study, the spring and summer 2020 data from the SD 1030 and SD 1053 were used to complement <italic>in situ p</italic>CO<sub>2sw</sub> data retrieved from SD 1030 after employing the Python PyCO<sub>2</sub>SYS toolbox for <italic>p</italic>CO<sub>2sw</sub> estimation (<xref ref-type="bibr" rid="B49">Humphreys et&#xa0;al., 2022</xref>). The method was applied to the SSS and O<sub>2</sub> of both SD 1030 and SD 1053. The predicted carbonate variables were quality controlled and <italic>p</italic>CO<sub>2sw</sub> was calculated using DIC and pH as input in the CO<sub>2</sub>SYSv2 (<xref ref-type="bibr" rid="B81">Orr et&#xa0;al., 2018</xref>) and further, compared to <italic>p</italic>CO<sub>2sw</sub> from the SD 1030 and from discrete sampling along the track (DYFAMED, PALOMA, MIRAMARE). The uncertainty of the predicted <italic>p</italic>CO<sub>2sw</sub> was based on a combination of the error of predicted DIC (12 &#xb5;mol kg<sup>-1</sup>) and pH (0.014) of CANYON-MED for the Mediterranean Sea (<xref ref-type="bibr" rid="B32">Fourrier et&#xa0;al., 2022</xref>). The error package of the CO<sub>2</sub>SYS toolbox (<xref ref-type="bibr" rid="B81">Orr et&#xa0;al., 2018</xref>) provided a <italic>p</italic>CO<sub>2sw</sub> uncertainty estimated at 13.3 &#x3bc;atm using the constants K1 and K2 from <xref ref-type="bibr" rid="B68">Lueker et&#xa0;al. (2000)</xref>.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results and discussion</title>
<p>This study first examines the fluxes of CO<sub>2</sub> comparing the East Atlantic with the Mediterranean Sea with a particular focus on their temporal and spatial variability. This large-scale view is followed by an investigation of regional and local processes and features that were observed during the duration of the ATL2MED mission. Specifically, local processes influencing the <italic>p</italic>CO<sub>2sw</sub> such as primary production and respiration, air-sea gas exchange, mixing, advection of water masses and temperature changes are discussed.</p>
<sec id="s3_1">
<label>3.1</label>
<title>Large scale view</title>
<p>The ATL2MED mission contributed with <italic>p</italic>CO<sub>2sw</sub> data of higher spatial density than ever before for the study area, allowing for a deeper investigation of the carbon dynamics in the eastern Atlantic and the Mediterranean Sea. During their path, the SDs crossed different geographical regions in different times of the year, resulting in large variability in SST and <italic>p</italic>CO<sub>2sw</sub>, that ranged between 14 and 29&#xb0;C (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>) and 320 and 520 &#xb5;atm (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>), respectively. At the beginning of the mission (from the end of October to the end of December 2019), when the SDs crossed the eastern Atlantic, the area was a CO<sub>2</sub> source (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>) driven by the presence of a permanent upwelling system off the coast of Africa. When the SDs moved further south, the efflux of CO<sub>2</sub> to the atmosphere decreased due to local dynamics (see section 3.2.1).</p>
<p>In total, the Eastern Atlantic absorbed more than 0.6&#xa0;mol CO<sub>2</sub> m<sup>-2</sup> over 4.5 months (18 October 2019 to 6 March 2020). This is higher than the CO<sub>2</sub> flux into the ocean (0.16&#xa0;mol CO<sub>2</sub> m<sup>-2</sup>) between December and May estimated by <xref ref-type="bibr" rid="B40">Gonz&#xe1;lez-D&#xe1;vila et&#xa0;al. (2017)</xref>, who used data between 2005 and 2012 from the Mauritanian - Cape Verde upwelling area (10-27&#xb0;N, 15-18&#xb0;E). This difference can be due to the slightly different time of year in <xref ref-type="bibr" rid="B40">Gonz&#xe1;lez-D&#xe1;vila et&#xa0;al. (2017)</xref> and to the proximity to the shore of their area compared to our area and thus, their results might be more affected by upwelled water oversaturated with CO<sub>2</sub>. <xref ref-type="bibr" rid="B83">P&#xe9;rez et&#xa0;al. (2024)</xref> used interpolated <italic>in situ p</italic>CO<sub>2sw</sub> data from the SOCAT database (<xref ref-type="bibr" rid="B2">Bakker et&#xa0;al., 2016</xref>) to estimate the CO<sub>2</sub> uptake in the North Atlantic Subtropical Gyre over the period 1985-2018. Their <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref> indicates an average winter flux of 1&#xa0;mol CO<sub>2</sub> m<sup>-2</sup> yr<sup>-1</sup>, which is larger than our CO<sub>2</sub> estimate. However, their values are based on data from a much larger area than that along the SD tracks in the eastern Atlantic.</p>
<p>As the SDs moved from the tropical region to the Strait of Gibraltar (December 2019 to March 2020), and the water column became well-mixed due to winter storms and cooling, photosynthetic activity was reduced, leading to less CO<sub>2</sub> uptake by phytoplankton, which kept <italic>p</italic>CO<sub>2sw</sub> relatively high (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>).</p>
<p>In the Mediterranean Sea, the SD measurements highlighted a more complex interplay between physical and biological factors. Here, along the SDs tracks, strong seasonal shifts in CO<sub>2</sub> content and CO<sub>2</sub> fluxes were also driven by regional variations of SST and wind speed.</p>
<p>In March 2020 highly negative (-85 mmol CO<sub>2</sub> m<sup>-2</sup> d<sup>-1</sup>) CO<sub>2</sub> fluxes (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>) were observed between the Alboran Sea and Gulf of Lion in response to water mixing and the active primary productivity usually observed in the area in this season.</p>
<p>In the Ligurian Sea the fluxes were generally close to zero with episodic events of strong CO<sub>2</sub> sink concurrently with wind increase and water cooling.</p>
<p>At the beginning of May 2020, the CO<sub>2</sub> fluxes showed positive values, as the <italic>p</italic>CO<sub>2atm</sub> was lower than the <italic>p</italic>CO<sub>2sw</sub> (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). Until early June, the SDs did not acquire data, due to maintenance activities. Moving from the Ionian Sea to the Adriatic Sea (mid-June 2020), the <italic>p</italic>CO<sub>2sw</sub> increased to well above the <italic>p</italic>CO<sub>2atm</sub> and reached the highest values recorded during the mission (530 &#xb5;atm) at the beginning of July 2020 in the southern Adriatic (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). This resulted in a strong efflux of CO<sub>2</sub> to the atmosphere. This was even more evident in the northern Adriatic, where the highest positive CO<sub>2</sub> fluxes (up to 80 mmol m<sup>-2</sup> d<sup>-1</sup>) recorded during the demonstration mission was observed (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>).</p>
<p>In total, the Mediterranean absorbed approximately 2.3&#xa0;mol CO<sub>2</sub> m<sup>-2</sup> over 4.5 months (7 March to 17 July 2020). However, when splitting this sea into regions, the west and northwestern Mediterranean Sea clearly acted as a sink absorbing 205.5&#xa0;mol CO<sub>2</sub> m<sup>-2</sup> over 2.5 months (7 March to 26 May 2020), while the area from the Ionian and the Adriatic Sea acted as a source of CO<sub>2</sub> emitting 314.2&#xa0;mol CO<sub>2</sub> m<sup>-2</sup> over 3.5 weeks (6 June to 17 July 2020).</p>
<p>These findings are consistent with previous studies highlighting the marked spatial variability of CO<sub>2</sub> fluxes in the Mediterranean Sea, where the northwestern sub-basins and the Adriatic often act as carbon sinks on an annual scale (e.g., <xref ref-type="bibr" rid="B12">Copin-Mont&#xe9;gut and B&#xe9;govic, 2002</xref>; <xref ref-type="bibr" rid="B109">Urbini et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B17">Cossarini et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B7">Cantoni et&#xa0;al., 2024</xref>), while the southeastern basins tend to act as sources (<xref ref-type="bibr" rid="B17">Cossarini et&#xa0;al., 2021</xref>). Our high-resolution measurements further emphasize the importance of sampling strategies capable of resolving seasonal and regional dynamics: for instance, data collected in the northwestern Mediterranean revealed a strong CO<sub>2</sub> uptake, likely enhanced by the timing of observations during a productive period when phytoplankton blooms can rapidly draw down CO<sub>2</sub> and generate transient sinks (<xref ref-type="bibr" rid="B91">Roobaert et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B33">Fraz&#xe3;o et&#xa0;al., 2025</xref>). In contrast, summer measurements in the Adriatic indicated a source of CO<sub>2</sub>, reflecting the dominant role of thermal forcing in shaping seasonal variability of surface <italic>p</italic>CO<sub>2</sub> (<xref ref-type="bibr" rid="B101">Takahashi et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B54">Jersild and Ito, 2020</xref>; <xref ref-type="bibr" rid="B91">Roobaert et&#xa0;al., 2024</xref>);. Mesoscale features encountered during the mission also revealed pronounced short-term variability in CO<sub>2</sub> fluxes, particularly in the Eastern Atlantic, consistent with evidence that mesoscale eddies and circulation patterns modulate surface carbon exchange in many oceanic regions (<xref ref-type="bibr" rid="B45">Harrison et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B30">Ford et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B44">Guo and Timmermans, 2024</xref>; <xref ref-type="bibr" rid="B66">Liu et&#xa0;al., 2025</xref>). The high-frequency resolution of our dataset proved crucial in capturing such variability, which is generally underrepresented in large-scale climatologies (<xref ref-type="bibr" rid="B62">Landsch&#xfc;tzer et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B46">Hassoun et&#xa0;al., 2022</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Regional events</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>The northwest African upwelling system in the East Atlantic</title>
<p>The CO<sub>2</sub> flux to the atmosphere in the East Atlantic during November 2019 was driven by upwelled water with low SST, low Chl-a concentration and high wind speed (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S3</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>). In this context, the physical upwelling of CO<sub>2</sub>-rich deep waters to the surface can exceed the capacity of biological drawdown, leading to persistent CO<sub>2</sub> outgassing (<xref ref-type="bibr" rid="B95">Siddiqui et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B91">Roobaert et&#xa0;al., 2024</xref>).</p>
<p>The <italic>p</italic>CO<sub>2sw</sub> thermal component (<italic>p</italic>CO<sub>2sw_TD</sub>) followed the changes in SST and decreased by more than 100 &#xb5;atm from the beginning of November 2019, when the region was characterised by elevated temperature (&gt; 24&#xa0;&#xb0;C), to January 2020 over a period of which SST decreased more than 14&#xa0;&#xb0;C (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S2</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>). However, the non-thermal component, <italic>p</italic>CO<sub>2sw_N</sub>, counteracted the changes in <italic>p</italic>CO<sub>2sw_TD</sub> by increasing approximately 100 &#xb5;atm over the same period (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S2</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>). Between 25 and 28 October 2019 the SD 1030 moved southward and crossed an area with higher Chl-a, which primarily affected the <italic>p</italic>CO<sub>2sw_N</sub> and decreased the CO<sub>2</sub> flux. In the first weeks of November 2019, heading southwards, the CO<sub>2</sub> flux was positive (directed into the atmosphere), mainly driven by the SST increase (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>) and the relatively low Chl-a concentrations. During this period, some small negative CO<sub>2</sub> flux values were observed concurrently with a strong reduction in <italic>p</italic>CO<sub>2sw</sub> (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3D</bold></xref>) suggesting that the SDs crossed an area previously characterised by elevated primary productivity (e.g., <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S3A</bold></xref>, 28 October 2019. After 28 November 2019, the SDs crossed an upwelling area with lower SST and the <italic>p</italic>CO<sub>2sw</sub> increased by about 30 &#xb5;atm as the surface water was enriched with CO<sub>2</sub> from below (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3A, D</bold></xref>). Here, the CO<sub>2</sub> flux was mainly driven by the non-thermal component (pCO<sub>2sw_N</sub>). After 6 December 2019, the SDs moved away from the upwelling area, and a sharp decrease in <italic>p</italic>CO<sub>2sw</sub> was observed concurrently with an increase in SST. Until 16 December the flux was almost close to zero with the exception of a strong peak that occurred on 12 December, mainly triggered by wind driven coastal upwelling (<italic>i.e</italic>., increase in wind speed and strong decrease in SST; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S3</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>). From January to early March 2020, moving northwards from the Canary upwelling system, the SDs sampled an area characterised by low variability in <italic>p</italic>CO<sub>2sw</sub> and <italic>p</italic>CO<sub>2atm</sub>. In this period the thermal and non-thermal components of <italic>p</italic>CO<sub>2sw</sub> were relatively similar, and at the end of this period, the non-thermal component started to increase inversely to the thermal component (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S2</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p><bold>(A)</bold> Map of SD trajectory in the East Atlantic from 18 October to 16 December 2019. Temporal evolution of <bold>(B)</bold> sea surface temperature (SST; &#xb0;C) and sea surface salinity (SSS), <bold>(C)</bold> dissolved oxygen concentration (O<sub>2</sub>; &#x3bc;mol kg<sup>-1</sup>) and oxygen saturation (%), <bold>(D)</bold><italic>p</italic>CO<sub>2sw</sub> (&#xb5;atm) and ratio between thermal and non-thermal components of <italic>p</italic>CO<sub>2sw</sub> (R), <bold>(E)</bold> CO<sub>2</sub> flux (FCO<sub>2</sub>; mmol CO<sub>2</sub> m<sup>-2</sup> day<sup>-1</sup>) and wind speed (m s<sup>-1</sup>) in the East Atlantic from 18 October to 16 December 2019.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1633617-g003.tif">
<alt-text content-type="machine-generated">Map and four graphs illustrating data along a coastal track from October to December 2019. The map shows a time-coded route with dates, moving from grey to yellow. Graph (b) plots temperature (red line) and salinity (blue line) over time. Graph (c) shows oxygen concentration (brown line) and saturation (blue line). Graph (d) depicts partial pressure of carbon dioxide (pCO&#x2082;, black line) and an unknown variable R (green line). Graph (e) displays flux of CO&#x2082; (FCO&#x2082;, magenta line) and wind speed (grey dots). Dates range from October 22 to December 16 across all graphs.</alt-text>
</graphic></fig>
<p>Eddies are frequently observed in this area (<xref ref-type="bibr" rid="B73">McGillicuddy et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B56">Katzenmeier et&#xa0;al., 2024</xref>), which was also the case during the R/V Meteor cruise (M160) in fall 2019. Cyclonic eddies promote the upwelling of deeper water rich in CO<sub>2</sub> and nutrients from remineralized organic matter. Inside these eddies, the surface <italic>p</italic>CO<sub>2sw</sub> can easily exceed the <italic>p</italic>CO<sub>2atm</sub>, and thus facilitating the CO<sub>2</sub> efflux to the atmosphere. The CO<sub>2</sub> flux may also have been influenced by the island orography, which affected wind patterns and led to the formation of small frontal systems. North of Cape Verde and towards the Strait of Gibraltar, the sea surface was significantly undersaturated with respect to CO<sub>2</sub>, which resulted in CO<sub>2</sub> influx.</p>
<p>A particularly interesting aspect is the high variability in SST, SSS, and O<sub>2</sub> (<xref ref-type="fig" rid="f3"><bold>Figure 3C</bold></xref>) concentration observed between 11 and 16 December, coinciding with measurements conducted by METEOR (<xref ref-type="bibr" rid="B23">Devresse et&#xa0;al., 2023</xref>). During this period, the SD crossed twice a small cyclonic eddy, and the CO<sub>2</sub> flux response was markedly different in the same area just two days apart (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S4</bold></xref>). The signal clearly indicates the presence of an upwelling, as evidenced by a sudden decrease in SST accompanied by a corresponding increase in SSS, which is also clearly observed in the METEOR data (<xref ref-type="bibr" rid="B23">Devresse et&#xa0;al., 2023</xref>), along with a strong increase in O<sub>2</sub> concentration and oxygen supersaturation coinciding with the SST minima.</p>
<p>This structure, which was identified as a cyclonic eddy (<italic>Brava eddy</italic>, <xref ref-type="bibr" rid="B23">Devresse et&#xa0;al., 2023</xref>) caused a general increase in CO<sub>2</sub>, mainly due to outgassing associated with upwelled deep waters enriched in CO<sub>2</sub>. In the core of the eddy the water mass was colder with higher concentration of dissolved inorganic nitrogen and Chl-a concentrations than the surrounding waters with a strong doming of the nitracline. This could explain the sudden changes of CO<sub>2</sub> fluxes observed around mid-December (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3E</bold></xref>). Furthermore, wind effects, which were stronger on the 11<sup>th</sup> December than on the 16<sup>th</sup> December, influenced phytoplankton biomass, leading to its increase following the reduction in wind intensity. The non-thermal component of pCO<sub>2sw</sub> increased, resulting in a decrease in R. This can be explained by the initial upwelling-driven outgassing, enhanced by wind, followed by a reversal of the CO<sub>2</sub> flux toward the ocean due to the biological response associated with primary production, which removed CO<sub>2</sub> from the surface waters. This highlights how high resolution observations are essential to capture the strong variability of CO<sub>2</sub> fluxes associated with fine-scale oceanographic features such as mesoscale and submesoscale eddies.</p>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Alboran Sea</title>
<p>After 7 March 2020 the SDs reached the Mediterranean and crossed the Alboran Sea in almost a week (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). The area showed strong variations in SST and SSS (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>), which influenced the biogeochemical variables. In early March 2020 the variability of <italic>p</italic>CO<sub>2sw</sub> increased, and <italic>p</italic>CO<sub>2sw</sub> reached the lowest value recorded during the mission (350 &#xb5;atm). The observed variability can be explained taking into account the characteristics of the region, where Atlantic and Mediterranean waters are coexisting and interact at different spatial and temporal scales (<xref ref-type="bibr" rid="B10">Cap&#xf3; et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B86">Poulain et&#xa0;al., 2021</xref>). Respiration processes, winter mixing, and spring blooms played a key role when the SDs moved from the Alboran Sea to the Ligurian Sea. Eddies are widespread in the area, as shown in <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref> which highlights the anticyclonic eddies in both the western and eastern Alboran Sea from satellite SST images. These eddies are caused by the surface inflow of Atlantic water that crosses the Strait of Gibraltar, which gradually mixes with the resident Mediterranean water (<xref ref-type="bibr" rid="B104">Tintor&#xe9; et&#xa0;al., 1991</xref>; <xref ref-type="bibr" rid="B78">Mojica et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B92">S&#xe1;nchez-Garrido and Nadal, 2022</xref>).</p>
<p>In the Alboran Sea, the SDs crossed two chlorophyll fronts (Chl-a &gt;1.5 mg m<sup>-3</sup>, <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>), as evidenced by the O<sub>2</sub> supersaturation (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4C</bold></xref>). This  influenced both the pCO2sw concentrations, which in the region was mostly driven by non thermal processes (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4D</bold></xref>), and CO2 flux (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4E</bold></xref>). Indeed as observed by <xref ref-type="bibr" rid="B91">Roobaert et&#xa0;al. (2024)</xref> and <xref ref-type="bibr" rid="B33">Fraz&#xe3;o et&#xa0;al. (2025)</xref> phytoplankton blooms can rapidly draw down CO<sub>2</sub>, creating transient CO<sub>2</sub> sinks during productive seasons especially in temperate ocean where spring blooms can induce sharp declines in <italic>p</italic>CO<sub>2sw</sub> over a few days to weeks, often exceeding the influence of temperature during the bloom peak (<xref ref-type="bibr" rid="B64">L&#xe9;vy et&#xa0;al., 2024</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p><bold>(A)</bold> Map of sea surface temperature (SST), chlorophyll a (Chl-a) concentration and SDs trajectory (SD 1030 and SD 1053 in black and red respectively) in the Alboran Sea on 10 and 12 March 2020. Temporal evolution of <bold>(B)</bold> sea surface temperature (SST; &#xb0;C) and sea surface salinity (SSS), <bold>(C)</bold> dissolved oxygen concentration (O<sub>2</sub>; &#xb5;mol kg<sup>&#x2013;1</sup>) and oxygen saturation (%), <bold>(D)</bold><italic>p</italic>CO<sub>2sw</sub> (&#xb5;atm) and ratio between thermal and non-thermal components of <italic>p</italic>CO<sub>2sw</sub> (R), <bold>(E)</bold> CO<sub>2</sub> flux (FCO<sub>2</sub>; mmol CO<sub>2</sub> m<sup>&#x2014;2</sup> day<sup>&#x2013;1</sup>) and wind speed (m s<sup>&#x2013;1</sup>) in the Alboran Sea from 8 to 15 March 2020.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1633617-g004.tif">
<alt-text content-type="machine-generated">Four-panel image showing oceanographic data:  A) Two maps display sea surface temperature and chlorophyll concentration on March 10 and 12, using color gradients from cool to warm.  B) Line graph shows temperature and salinity trends from March 8 to 14.  C) Line graph presents oxygen concentration and saturation over the same period.  D) Line graph depicts partial pressure of carbon dioxide and its correlation range.  E) Line graph shows CO2 flux alongside wind speed data, both from March 8 to 14.  Each panel provides data related to the northeastern Atlantic Ocean, with varying gradients and line colors for distinction.</alt-text>
</graphic></fig>
<p>The Alboran Sea is one of the most productive areas of the Mediterranean Sea according to estimates based on satellite data by <xref ref-type="bibr" rid="B107">Uitz et&#xa0;al. (2012)</xref>. The Chl-a concentration in boreal spring along the northern flank of the Alboran Sea is influenced by the El Ni&#xf1;o Southern Oscillation (ENSO) that is responsible for the development of anomalous distribution patterns of Chl-a. Furthermore, ENSO influences the western Mediterranean by altering the winds over the Alboran region and, consequently, the wind-driven upwelling that occurs along the southern Spanish coast in spring. This, in turn, modifies the surface Chl-a concentration: a high (low) Chl-a concentration in the northern Alboran Sea during spring is expected under La Ni&#xf1;a (El Ni&#xf1;o) conditions in the tropical Pacific during the preceding winter (<xref ref-type="bibr" rid="B67">Lopez-Parages et&#xa0;al., 2022</xref>). Also in the past elevated Chl-a concentrations have been reported for the western Alboran Sea (<xref ref-type="bibr" rid="B77">Minas et&#xa0;al., 1991</xref>; <xref ref-type="bibr" rid="B90">Rodr&#xed;guez et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B67">Lopez-Parages et&#xa0;al., 2022</xref>), while particulate primary production can reach up to 632 mg C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> along a coast-to-coast gradient crossing the western Alboran Sea gyre (<xref ref-type="bibr" rid="B79">Moran and Estrada, 2001</xref>) and 700 mg C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> in the northern part of the eastern gyre (<xref ref-type="bibr" rid="B110">Videau et&#xa0;al., 1994</xref>).</p>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Ligurian Sea</title>
<p>The SDs arrived in the Ligurian Sea at the beginning of April 2020 after crossing the Gulf of Lion (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>). The <italic>p</italic>CO<sub>2sw</sub> fluctuation was high and the <italic>p</italic>CO<sub>2sw</sub> concentration low in the northwestern Mediterranean at this time of year. The area was characterised by low SST and undersaturated O<sub>2</sub> concentrations highlighting the presence of intense vertical mixing (see <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref> in <xref ref-type="bibr" rid="B70">Martellucci et&#xa0;al., 2024</xref>). Convection can be intense in February and March in the Gulf of Lion due to cold and dry winds and preconditioning events (<xref ref-type="bibr" rid="B94">Schroeder et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B48">Houpert et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B103">Testor et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B69">Many et&#xa0;al., 2021</xref>), which refers to the set of oceanic conditions that favour deep convection, such as the presence of a weakly stratified water column and the accumulation of dense water from previous winters. These conditions induce an increase of surface water density sensitive to the winds blowing. The convection process is less pronounced in the Ligurian Sea where wind forcing and air-sea heat flux are usually less intense (<xref ref-type="bibr" rid="B16">Coppola et&#xa0;al., 2018</xref>). A recent study from <xref ref-type="bibr" rid="B108">Ulses et&#xa0;al. (2023)</xref> demonstrated that the deep convection zone in the northwestern Mediterranean Sea served as a moderate CO<sub>2</sub> sink for the atmosphere in the years 2012 to 2013, when convection was particularly strong. Between the beginning of March and the end of April 2020, the <italic>p</italic>CO<sub>2sw_N</sub> dominated the <italic>p</italic>CO<sub>2sw</sub> signal (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S2</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>). From the Alboran Sea to the Ligurian Sea, respiration possibly prevailed over photosynthesis, increasing the <italic>p</italic>CO<sub>2sw_N</sub> while O<sub>2</sub> was consumed. In the western Mediterranean, the end of deep vertical mixing favours the onset of a spring phytoplankton bloom with a peak in primary production and phytoplankton concentration at the surface which generally occurs in April in this region (<xref ref-type="bibr" rid="B72">Mayot et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B59">Kessouri et&#xa0;al., 2020</xref>). The 2020 spring bloom produced a strong increase in Chl-a between March and April 2020 (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S4</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>) resulting in a pronounced uptake of CO<sub>2</sub> from the water (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5E</bold></xref>), decreasing <italic>p</italic>CO<sub>2sw_N</sub>, while O<sub>2</sub> production increased during the bloom event (O<sub>sat</sub> &gt; 106, <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5C</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p><bold>(A)</bold> Map of SD trajectory in the northwestern Mediterranean from 9 April to 12 May 2020, glider measurements (green dots), DYFAMED (red star) and W1M3A (blue star). Temporal evolution of <bold>(B)</bold> sea surface temperature (SST; &#xb0;C) and sea surface salinity (SSS), <bold>(C)</bold> dissolved oxygen concentration (O<sub>2</sub>; &#xb5;mol/kg) and oxygen saturation (%), <bold>(D)</bold><italic>p</italic>CO<sub>2sw</sub> (&#xb5;atm) and ratio between thermal and non-thermal components of <italic>p</italic>CO<sub>2sw</sub> (R), blue and red diamonds represent the <italic>p</italic>CO<sub>2sw</sub> recorded at fixed stations (see Figures 10a and b in <xref ref-type="bibr" rid="B70">Martellucci et&#xa0;al., 2024</xref>), and <bold>(E)</bold> CO<sub>2</sub> flux (FCO<sub>2</sub>; mmol CO<sub>2</sub> m<sup>-2</sup> day<sup>-1</sup>) and wind speed (m s<sup>-1</sup>) in the East Atlantic from 18 October to 16 December 2019.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1633617-g005.tif">
<alt-text content-type="machine-generated">Graph showing partial pressure of carbon dioxide in seawater (pCO2sw) from March 1 to July 1, with various data points from different locations: Alboran Sea, Ligurian Sea, and Adriatic Sea. Legend indicates data sources by color and shape, including circles, triangles, and stars. The x-axis represents time, while the y-axis shows pCO2sw in microatmospheres. Patterns vary by region.</alt-text>
</graphic></fig>
<p>On 9 April 2020 the SDs left the area off Toulon moving towards the W1M3A site and sailing about 40&#xa0;km from the coast. The area is characterized by the Northern Current (NC) that is a key boundary current in the western Mediterranean (<xref ref-type="bibr" rid="B4">Berta et&#xa0;al., 2018</xref>). This current originates in the Ligurian Sea from the convergence of the Western and Eastern Corsica currents. At surface, it transports the old Atlantic Water (AW) southwest ward, influencing the circulation of the northwest Mediterranean. The NC extends about 40&#xa0;km off the coast and its variability is influenced by winds and freshwater inputs. This pattern was clearly detected by the SDs until 15th of April (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>). Until then the <italic>p</italic>CO<sub>2sw</sub> values ranged from 360 to 400 &#xb5;atm and the SST varied by 2&#xa0;&#xb0;C. This can be ascribed to the presence of strong mixing processes, driven by northwesterly winds, that influenced the pathways of the NC current forming a frontal zone near the coast, separating warm coastal waters from colder mixed waters of the Gulf of Lion (<xref ref-type="bibr" rid="B87">Prieur et&#xa0;al., 2020</xref>).</p>
<p>From mid-April 2020 SST increased as the SDs moved eastwards (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>), and <italic>p</italic>CO<sub>2sw</sub> increased from 360 &#xb5;atm to 400 &#xb5;atm. This increase was consistent with the values reported by <xref ref-type="bibr" rid="B14">Coppola et&#xa0;al. (2020)</xref> for the seasonal cycle in the Ligurian Sea. Here, <italic>p</italic>CO<sub>2sw</sub> values usually range from 300 to 550 &#x3bc;atm, as already reported for the DYFAMED site. The glider deployed during the mission helps to spatially characterize the observed area and to generate predicted carbonate system variables using the CANYON-MED neural network (see Section 2.5). The glider moving from Nice to Calvi measured SST similar to those measured by the two SDs at matching locations.</p>
<p>The O<sub>2</sub> concentration decreased from 260 &#xb5;mol kg<sup>-1</sup> to almost 230 &#xb5;mol kg<sup>-1</sup> as the SDs left the Ligurian Sea. <italic>p</italic>CO<sub>2sw</sub> was comparable between the platforms.</p>
<p>In the Ligurian Sea, the main processes governing the <italic>p</italic>CO<sub>2sw</sub> at the sea surface on an annual scale, after removing the temperature effect, are vertical mixing and biological production (<xref ref-type="bibr" rid="B13">Copin-Mont&#xe9;gut et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B75">Merlivat et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B15">Coppola et&#xa0;al., 2023</xref>). However, during the studied period, in the Ligurian Sea the non-thermal component of <italic>p</italic>CO<sub>2sw</sub> prevailed over the thermal one (R&lt;1; <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5D</bold></xref>) suggesting that biological activity might have influenced the <italic>p</italic>CO<sub>2sw</sub> variability in this area during April 2020 (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S4</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>).</p>
<p>In early May 2020, the <italic>p</italic>CO<sub>2sw</sub> started to increase (from 350 &#xb5;atm to 450 &#xb5;atm) crossing the Tyrrhenian Sea, concurrently with temperature increase (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). The <italic>p</italic>CO<sub>2sw_TD</sub> reflected the change in SST, being predominant in the overall <italic>p</italic>CO<sub>2sw</sub> signal in the region.</p>
<p>The neural network (CANYON-MED) derived estimates of <italic>p</italic>CO<sub>2sw</sub> closely matched the SD measurements (SD 1030, R<sup>2</sup>&#xa0;=&#xa0;0.95, p&lt;0.05; SD 1030, R<sup>2</sup>&#xa0;=&#xa0;0.88, p&lt;0.05), with only a small offset of 15&#x2013;20 &#xb5;atm observed as the SD moved along its path (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S6</bold></xref>). This offset fell within the expected error range of the neural network-derived <italic>p</italic>CO<sub>2sw</sub> estimates (see section 2.5) and aligned with data collected by the W1M3A fixed ocean station. However, it is important to note that between 28 April and 1 May 2020, when the SDs circled the W1M3A station, sea conditions shifted from calm to very rough (significant wave height of 2.5&#xa0;m), leading to water mixing that may have influenced the measurements. By 4 May 2020, sea conditions had returned to calm.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Time series of <italic>p</italic>CO<sub>2sw</sub> in the Mediterranean Sea obtained from CANYON-MED (CMED) neural networks for SD 1030 (in orange) and SD 1053 (in green), alongside <italic>p</italic>CO<sub>2sw</sub> data from SD 1030 (in black). The reference data are derived from fixed stations equipped with <italic>p</italic>CO<sub>2sw</sub> sensors, corresponding to the dates when SD 1030 (and SD 1053 for DYFAMED) was in proximity to these sites: DYFAMED (represented by a yellow square and triangle), W1M3A (yellow triangle down), PALOMA (yellow circle), and MIRAMARE (yellow star).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1633617-g006.tif">
<alt-text content-type="machine-generated">A set of graphs and a map illustrating oceanographic data from June 25 to July 2. Panel A shows a map with a red star representing E2M3A and a green dot path of a glider, with dates marking its route. Panels B to E display line graphs for temperature, salinity, oxygen concentration, partial pressure of carbon dioxide (pCO2), and flux of CO2 (FCO2). Temperature and salinity lines are shown in red and blue, oxygen in brown and blue, pCO2 in black and red dots, and FCO2 in magenta and gray dots. Each panel highlights variations over time from June 25 to July 2.</alt-text>
</graphic></fig>
<p>Further analysis of discrepancies between <italic>p</italic>CO<sub>2sw</sub> measurements from W1M3A and the SD revealed that differences primarily stemmed from the total gas stream pressure measurement provided which was used to calculate <italic>p</italic>CO<sub>2sw</sub>. In contrast, better agreement was observed when comparing xCO<sub>2sw</sub> measurements, with an absolute mean error of 3.9 ppm. <xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref> illustrates that CANYON-MED predictions for <italic>p</italic>CO<sub>2sw</sub> are consistent with direct measurements from SD 1030 and sensors deployed on fixed buoys (DYFAMED and W1M3A).</p>
<p>Occasionally, discrepancies in <italic>p</italic>CO<sub>2sw</sub> between CANYON-MED predictions and <italic>in situ</italic> measurements are seen (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>). These are mainly due to the neural network&#x2019;s limited spatial resolution, which cannot capture sub-mesoscale variability. This is especially evident in the northern Adriatic Sea, where complex coastal influences (e.g., river inputs, groundwater discharges) fall outside the neural network original training scope (open sea in the Mediterranean Sea), leading to notable mismatches with data from SDs and fixed stations like PALOMA and MIRAMARE. Despite these limitations near the coast, CANYON-MED performs well in offshore regions such as the Ligurian, Ionian, and southern Adriatic Sea, where its predictions align closely with SD measurements. This suggests that CANYON-MED can effectively complement the <italic>in situ</italic> measurements and help fill observational gaps where direct <italic>p</italic>CO<sub>2sw</sub> measurements are unavailable due to sensor failure or maintenance.</p>
</sec>
<sec id="s3_2_4">
<label>3.2.4</label>
<title>Southern Adriatic Sea</title>
<p>Starting from mid-June to the beginning of July 2020, the SDs crossed the southern Adriatic Sea (<xref ref-type="fig" rid="f7"><bold>Figure 7A</bold></xref>). This area exhibits a strong variability triggered by the inflow of cold and less salty water from the northern Adriatic and warm and salty water entering the basin through the Otranto strait in the south (<xref ref-type="bibr" rid="B50">Ingrosso et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B7">Cantoni et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B70">Martellucci et&#xa0;al., 2024</xref>). This, drives the formation of small scale eddies (e.g., baroclinic instability) mixing these different water masses. The SD <italic>p</italic>CO<sub>2sw</sub> showed an increasing trend over the entire period (25 June - 1 July 2020) which was similar to the measurements at the E2M3A site (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7D</bold></xref>). This was likely due to the increasing SST (<xref ref-type="fig" rid="f7"><bold>Figure 7B</bold></xref>) as confirmed by the analysis of the thermal and non-thermal components of <italic>p</italic>CO<sub>2sw</sub> suggesting a strong influence of temperature rather than biological processes (R&gt;1; <xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7D</bold></xref>). This was also highlighted by very low fluctuation in the O<sub>2</sub> concentration <xref ref-type="fig" rid="f7"><bold>Figure 7C</bold></xref> over the period that could have been related to biological processes, as the southern Adriatic is an oligotrophic area. Pronounced day-night variations of SD <italic>p</italic>CO<sub>2sw</sub> were also evident in correspondence with SST relative maxima. The CO<sub>2</sub> fluxes (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7E</bold></xref>) showed positive values over the entire period indicating CO<sub>2</sub> outgassing from the sea. While <xref ref-type="bibr" rid="B50">Ingrosso et&#xa0;al. (2017)</xref> reported that dense water formation was among the primary drivers of CO<sub>2</sub> uptake in the area in winter, the SD measurements highlighted an opposite pattern during summer. In addition, the CO<sub>2</sub> fluxes calculated from SD measurements and the fluxes calculated from the <italic>p</italic>CO<sub>2sw</sub> data of E2M3A show again good agreement in their general patterns (R<sub>2</sub>&#xa0;=&#xa0;0.72, p &#x2264; 0.05). SST and SSS measured by the two SDs between 25 June and 1 July 2020 showed similar values at distance less than 10&#xa0;km apart and also a good agreement with the E2M3A data (R<sub>2</sub>&#xa0;=&#xa0;0.72, p &lt; 0.005; in contrast to the other fixed stations, the SD surrounded E2M3A for a sufficient amount of time to perform reliably statistics). However, during 26&#x2013;28 June 2020, when the SDs sailed eastward along the Bari-Dubrovnik track, the SSS decreased from that measured at E2M3A, evidencing that the SDs entered the less salty coastal waters.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p><bold>(A)</bold> Map of the SD trajectory in the southern Adriatic Sea. Glider measurements (green dots), the E2M3A site (magenta star) are also displayed. The measurements were performed during June-July 2020. Temporal evolution of <bold>(B)</bold> sea surface temperature (SST; &#xb0;C) and sea surface salinity (SSS), <bold>(C)</bold> dissolved oxygen concentration (O<sub>2</sub>; &#x3bc;mol kg<sup>-1</sup>) and oxygen saturation (%), <bold>(D)</bold><italic>p</italic>CO<sub>2sw</sub> (&#xb5;atm) and ratio between thermal and non-thermal components of <italic>p</italic>CO<sub>2sw</sub> (R), where red diamonds represent the <italic>p</italic>CO<sub>2sw</sub>, recorded at E2M3A (the temporal discrepancy between the two time series is due to the different frequency of data acquisition: every hour and every four hours for SD and E2M3A respectively), and <bold>(E)</bold> flux of CO<sub>2</sub> (FCO<sub>2</sub>; mmol CO<sub>2</sub> m<sup>-2</sup> day<sup>-1</sup>) and wind speed (m s<sup>-1</sup>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1633617-g007.tif">
<alt-text content-type="machine-generated">Map and four graphs depicting measurements taken in the northern Adriatic Sea from July 12 to July 17, 2020. Panel A shows locations visited, marked by a grey path with color-coded dates. Panel B displays temperature and salinity with two overlapping lines. Panel C illustrates oxygen concentration and saturation. Panel D shows partial pressure of carbon dioxide (pCO2) and a related variable (R) with two lines. Panel E presents carbon dioxide flux (FCO2) and wind speed with separate symbols. Labels and color codes differentiate data points and parameters across all panels.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2_5">
<label>3.2.5</label>
<title>Northern Adriatic Sea</title>
<p>The carbonate balance and dynamics in the shallow (mean depth is approx. 30&#xa0;m) northern Adriatic sea is strongly influenced by river discharges. The Po river is the major source of freshwater and nutrients in the area (e.g., <xref ref-type="bibr" rid="B19">Cozzi and Giani, 2011</xref>), but also smaller rivers influence the carbon chemistry of the region (<xref ref-type="bibr" rid="B38">Giani et&#xa0;al., 2023</xref>). Between 13 and 14 July 2020, the SDs crossed a plume of the Po river in the northern Adriatic (<xref ref-type="fig" rid="f8"><bold>Figure 8A</bold></xref>). The plume extended eastward from the Po delta on the western Italian coast as evidenced by the lower SSS and higher SST measured by the SD (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8B</bold></xref>). The eastward extension of the plume was caused by the northeasterly katabatic Bora wind blowing in the area from 12 to 15 July (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S6</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>). Chl-a in the plume was higher (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S7</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>) as a response to the river borne nutrients, and the corresponding phytoplankton bloom caused a marked decrease in <italic>p</italic>CO<sub>2sw</sub> reaching its lowest values of about 370 &#xb5;atm which resulted in a CO<sub>2</sub> influx (<xref ref-type="fig" rid="f8"><bold>Figures&#xa0;8D, E</bold></xref>). The CO<sub>2</sub> drawdown by phytoplankton can be seen by the increase in the <italic>p</italic>CO<sub>2</sub> ratio (green line in <xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8D</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S2</bold></xref>) due to the decrease of the non thermal <italic>p</italic>CO<sub>2</sub>. This was the only occurrence of CO<sub>2</sub> influx in the Adriatic Sea during the demonstration mission (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p><bold>(A)</bold> Map of the SD tracks in the northern Adriatic Sea between 12 and 17 July 2020. The position of PALOMA (blue star) and MIRAMARE (red star) stations are indicated. Time series of <bold>(B)</bold> sea surface temperature (SST; &#xb0;C) and sea surface salinity (SSS), <bold>(C)</bold> dissolved oxygen concentration (O<sub>2</sub>; &#x3bc;mol kg<sup>-1</sup>) and oxygen saturation (%), <bold>(D)</bold><italic>p</italic>CO<sub>2sw</sub> (&#xb5;atm) and ratio between thermal and non-thermal components of <italic>p</italic>CO<sub>2sw</sub>, and <bold>(E)</bold> flux of CO<sub>2</sub> (FCO<sub>2</sub>; mmol CO<sub>2</sub> m<sup>-2</sup> day<sup>-1</sup>) and wind speed (m s<sup>-1</sup>). In d), <italic>p</italic>CO<sub>2sw</sub> acquired from PALOMA and MIRAMARE are indicated as blue and red diamonds, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1633617-g008.tif">
<alt-text content-type="machine-generated">Map and data visualizations showing Saildrone and glider pahts and fixed station. Panel A displays the Sailderone and glider traks fro April 9 to May 12, 2020, colorcoded in time.  Panels B to E show graphs for temperature, salinity, dissolved oxygen and oxygen saturation, partial pressure of carbon dioxide, and carbon flux, respectively. Each graph uses distinct colors for different datasets.</alt-text>
</graphic></fig>
<p>On 16 July 2020, before entering the Gulf of Trieste, the SDs crossed the Isonzo river plume (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8A</bold></xref>) as marked by a decrease in SSS (~ -1.6) and increase in SST (~ +1.1&#xb0;C) (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8B</bold></xref>). However, differently from the crossing of the Po river plume, the SDs did not record marked <italic>p</italic>CO<sub>2sw</sub> changes. The <italic>p</italic>CO<sub>2sw</sub> increase due to the thermal effect was compensated by the non-thermal decrease presumably due to the CO<sub>2</sub> drawdown caused by primary productivity as also suggested by the increase of O<sub>2</sub> saturation (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8C</bold></xref>). Successively, from 17 to 18 of July 2020&#xa0;a new outburst of the Bora wind was associated to an increase in <italic>p</italic>CO<sub>2sw</sub>, despite the decrease in SST (~ -1.0&#xa0;&#xb0;C) and a switch from thermal (R&#xa0;=&#xa0;1.14) to non thermal (R&#xa0;=&#xa0;0.95) control. Strong positive CO<sub>2</sub> fluxes from the sea, up to 80 mmol m<sup>-2</sup>d<sup>-1</sup>, were measured (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8E</bold></xref>) turning the Gulf of Trieste from a weak (FCO<sub>2</sub>&#xa0;=&#xa0;2.6 mmol m<sup>-2</sup>d<sup>-1</sup> on average) to a strong (FCO<sub>2</sub>&#xa0;=&#xa0;30.7 mmol m<sup>-2</sup>d<sup>-1</sup> on average) CO<sub>2</sub> source. Contrary to what might be expected due to CO<sub>2</sub> outgassing, this increase in <italic>p</italic>CO<sub>2sw</sub> can be explained by the mixing with bottom waters induced by northeasterly winds, which promote coastal upwelling. When the SDs entered the Gulf of Trieste, the water column was strongly stratified, with bottom waters depleted in O<sub>2</sub> (down to 132 &#xb5;mol kg<sup>-1</sup>; 56% O<sub>2</sub> sat) and enriched in CO<sub>2</sub> (up to 641 &#xb5;atm in the middle of the gulf; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S8</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>). The increase of DIC and <italic>p</italic>CO<sub>2sw</sub> and the decrease of pH and O<sub>2</sub> concentration below the pycnocline is typically observed in the Gulf of Trieste (<xref ref-type="bibr" rid="B9">Cantoni et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B52">Ingrosso et&#xa0;al., 2016a</xref>, <xref ref-type="bibr" rid="B51">b</xref>) during summer when the microbial respiration prevails over the primary production (<xref ref-type="bibr" rid="B29">Fonda Umani et&#xa0;al., 2012</xref>). The results reported here are consistent with previous findings by <xref ref-type="bibr" rid="B106">Turk et&#xa0;al. (2010)</xref>; <xref ref-type="bibr" rid="B18">Cossarini et&#xa0;al. (2015)</xref> and <xref ref-type="bibr" rid="B109">Urbini et&#xa0;al. (2020)</xref> and further strengthens the role of this area as a CO<sub>2</sub> source during summer and highlights the interplay of multiple factors in controlling sea surface <italic>p</italic>CO<sub>2sw</sub> variability. This phenomenon further strengthens the role of this area as a CO<sub>2</sub> source during summer and highlights the interplay of multiple factors in controlling sea surface <italic>p</italic>CO<sub>2sw</sub> variability.</p>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="conclusions">
<label>4</label>
<title>Conclusion</title>
<p>The nine months of the ATL2MED mission provided insights into the regional air-sea CO<sub>2</sub> exchange dynamics of the East Atlantic and the Mediterranean Sea, two areas that are generally under-sampled (<xref ref-type="bibr" rid="B62">Landsch&#xfc;tzer et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B102">Tanhua et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B46">Hassoun et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B1">Bakker et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B11">Chakraborty et&#xa0;al., 2023</xref>). At a broad and regional scale, our measurements revealed that the Eastern Atlantic and the Mediterranean Sea exhibit distinct CO<sub>2</sub> flux patterns driven by different processes. However, it must be kept in mind that the ATL2MED mission took place over three seasons, in which different processes contributed to the <italic>p</italic>CO<sub>2sw</sub> variations, making direct comparisons between the regions challenging.</p>
<p>In the northwest African upwelling system, specifically in the upwelled waters characterized by low Chl-a concentration and strong winds, the <italic>p</italic>CO<sub>2sw</sub> variability was mainly driven by the thermal component <italic>p</italic>CO<sub>2sw_TD</sub> however in the cyclonic eddy also the primary productivity contributed to reverse the CO<sub>2</sub> fluxes from the sea to the atmosphere.</p>
<p>On the contrary, in the highly productive regions of the Alboran sea and the Gulf of Lion biological activity played a significant role in driving the variability of <italic>p</italic>CO<sub>2sw</sub>, resulting in strongly negative CO<sub>2</sub> fluxes, occurring during the spring bloom season. In these areas, the non-thermal component of <italic>p</italic>CO<sub>2sw</sub> (<italic>p</italic>CO<sub>2sw_N</sub>) was dominant over <italic>p</italic>CO<sub>2sw_TD</sub>. This is due to the low temperature and the presence of upwelling, which brings CO<sub>2</sub>-rich deep waters to the surface, counterbalancing the CO<sub>2</sub> uptake by phytoplankton. In the Adriatic during the summer the <italic>p</italic>CO<sub>2</sub> increase was mainly driven by the seasonal warming, observed in the high values of <italic>p</italic>CO<sub>2sw_TD</sub>, leading to the highest CO<sub>2</sub> effluxes recorded during the mission, and also strong wind and respiration processes further increased the CO<sub>2</sub> efflux. However in presence of riverine inputs (i.e. Po river in the northern Adriatic), the <italic>p</italic>CO<sub>2</sub> strongly decreases driven by the uptake of phytoplankton, causing an influx of <italic>p</italic>CO<sub>2</sub> from the atmosphere reflecting the high variability of the area. Indeed as observed in Borges et&#xa0;al., 2018 and Chen et&#xa0;al., 2020, river-borne nutrients can stimulate primary production, promoting a transient atmospheric CO<sub>2</sub> sink during phytoplankton blooms. These measurements captured fine-scale processes, including the influence of small eddies (i.e. eastern Atlantic), localized mixing events, and the impact of river plumes (i.e. northern Adriatic), which are often masked by broader-scale observations. Such localized phenomena can drive rapid and substantial changes in CO<sub>2</sub> exchange dynamics, highlighting the need for high-resolution measurements to fully understand the interplay between physical and biogeochemical processes at the air-sea interface. Moreover, the ATL2MED mission showed a close match between the CANYON-MED derived <italic>p</italic>CO<sub>2sw</sub> estimates and the SD measurements, where the offset of 15&#x2013;20 &#xb5;atm fell within the expected error range of the neural network-derived <italic>p</italic>CO<sub>2sw</sub> estimates. Due to limited spatial resolution of CANYON-MED, there are some differences when comparing to the SD <italic>p</italic>CO<sub>2sw</sub> measurements, however CANYON-MED complements <italic>p</italic>CO<sub>2sw</sub> measurements from other platforms like the SDs. It is also confirmed that while these models effectively capture broader patterns, they may overlook important sub-mesoscale features critical for precise CO<sub>2</sub> flux estimation as for the northern Adriatic case.</p>
<p>Despite the various challenges of the ATL2MED mission (e.g., the Covid pandemic), the SDs have proven to be a valuable tool for increasing the spatial <italic>p</italic>CO<sub>2</sub> data density, underscoring the complementary role that autonomous vehicles such as Saildrones can play in global carbon monitoring efforts. Overall, these findings emphasize that a multi-scale monitoring approach is essential to refining our understanding of marine carbon dynamics and improving predictive capabilities in a changing climate.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <uri xlink:href="https://doi.org/10.5194/essd-16-5333-2024">https://doi.org/10.5194/essd-16-5333-2024</uri>, 2024.</p></sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>RM: Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing &#x2013; original draft. CD: Data curation, Formal analysis, Investigation, Writing &#x2013; original draft. LC: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Software. IS: Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MG: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Supervision, Writing&#xa0;&#x2013; original draft, Writing &#x2013; review &amp; editing, Visualization. SP: Data curation, Formal analysis, Funding acquisition, Investigation, Resources, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Methodology. CC: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. VC: Funding acquisition, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing. MF: Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft. RB: Funding acquisition, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing. MP: Data curation, Formal analysis, Resources, Validation, Writing &#x2013; review &amp; editing. EM: Data curation, Funding acquisition, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We thank the OGS engineers Paolo Mansutti and Giuseppe Siena for the assistance during the final recovery of the SDs, and Piero Zuppelli, Riccardo Gerin, Antonio Bussani and Massimo Pacciaroni for piloting the OGS glider. Furthermore, we thank Benjamin Pfeil and Bj&#xf6;rn Fiedeler for initialising the mission and Fiedeler for executing the first phase of the mission. Finally, we are very grateful for the help from Adrienne Sutton and Stacy Manner regarding correction of the ASVCO<sub>2</sub><italic>p</italic>CO<sub>2sw</sub> and <italic>p</italic>CO<sub>2atm</sub> data. The authors would like to thank the ICOS Ocean Thematic Centre for providing the data of the SAILDRONE mission and of the ICOS stations (W1M3A, E2M3A, Paloma and MIRAMARE).</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare 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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p></sec>
<sec id="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If&#xa0;you identify any issues, please contact us.</p></sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
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<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.2025.1633617/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2025.1633617/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/292769">Jun Sun</ext-link>, Tianjin University of Science and Technology, China</p></fn>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3105092">Benjamin Lowin</ext-link>, University of Georgia, United States</p></fn>
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