{"refrec":{"BRefID":391011,"RR":"<b>Roobaert, A.; Regnier, P.; Landschützer, P.; Laruelle, G.G.</b> (2024). Global coastal ocean CO<sub>2 </sub>trends over the 1982-2020 period, <b><i>in</i></b>: <i>EGU General Assembly 2024. Vienna, Austria & Online, 14-19 April 2024.</i> pp. EGU24-14775. <a href=\"https://dx.doi.org/10.5194/egusphere-egu24-14775\" target=\"_blank\">https://dx.doi.org/10.5194/egusphere-egu24-14775</a>","BEntID":388758,"PublicFlag":1,"CheckedFlag":0,"wosflag":0,"vabbflag":0,"RefStringPartII":", <b><i>in</i></b>: <i>EGU General Assembly 2024. Vienna, Austria & Online, 14-19 April 2024.</i> pp. EGU24-14775. <a href=\"https://dx.doi.org/10.5194/egusphere-egu24-14775\" target=\"_blank\">https://dx.doi.org/10.5194/egusphere-egu24-14775</a>","DocTypID":17,"DocType":"Book chapters","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Roobaert, A.; Regnier, P.; Landschützer, P.; Laruelle, G.G.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Roobaert, A. <i>et al.</i>","Englishabstract":"The development of high-quality controlled databases of sea surface partial pressure of CO<sub>2</sub> (pCO<sub>2</sub>) combined with robust machine learning-based mapping methods that fill pCO<sub>2</sub> gaps in time and space, enable us to quantify the oceanic air-sea CO<sub>2</sub> exchange and its spatiotemporal variability only based on <i>in-situ</i> observations (pCO<sub>2</sub>-products). However, most existing pCO<sub>2</sub>-products do not explicitly include the coastal ocean or have a spatial resolution that is too coarse (e.g., 1°) to capture the highly heterogeneous spatiotemporal dynamics of pCO<sub>2</sub> in these regions thus limiting our ability to resolve long-term trends and the interannual variability of the coastal air-sea CO<sub>2</sub> exchange (FCO<sub>2</sub>).To address this limitation, we updated the global coastal pCO<sub>2</sub>-product of Laruelle et al. (2017) using a 2-step machine learning interpolation technique (relying on Self Organizing Maps and a Feed Forward neural Network) combined with the most extensive monthly time series for coastal waters from the Surface Ocean CO<sub>2</sub> Atlas (SOCAT), spanning from 1982 to 2020 to reconstruct monthly high spatial resolution (0.25°) continuous coastal pCO<sub>2</sub> maps. This updated coastal pCO<sub>2</sub>-product is then used to reconstruct the temporal evolution of the global coastal FCO<sub>2</sub> based on observations.Our results show that since 1982, the extended coastal ocean, covering an area of 77 million km² in this study, has been acting as an atmospheric CO<sub>2</sub> sink, removing -0.4 Pg C yr<sup>-1</sup> (-0.2 Pg C yr<sup>-1</sup> with a narrower coastal domain roughly equivalent to continental shelves) from the atmosphere. Moreover, the intensity of this CO<sub>2</sub> sink has been increasing over time at a rate of 0.1 Pg C yr<sup>-1</sup> per decade (0.03 Pg C yr<sup>-1</sup> decade<sup>-1</sup> in the narrower domain). The long-term change in the air-sea CO<sub>2</sub> flux is largely driven by the air-sea pCO<sub>2</sub> gradient, dominated by the sea surface pCO<sub>2</sub>, however wind speed and sea-ice coverage play significant roles, regionally. This new coastal pCO<sub>2</sub>-product provides a valuable constraint for understanding the strengthening of the global coastal ocean CO<sub>2</sub> sink, fill the coastal gap in synthesis studies such as the Global Carbon Budget and serves as a benchmark for evaluating emerging results of ocean biogeochemical models.","AbstractOtherLang":null,"BibLvlCode":"AM","StandardTitle":"Global coastal ocean CO<sub>2 </sub>trends over the 1982-2020 period","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":2024,"MonPub":null,"DateUpdate":"2024-11-25","DateCreate":"2024-03-14","SecASFANote":null,"ConfID":null,"PeerRev":0,"VlizCoreFlag":1,"WoScode":null,"VABBcode":null,"OpenAcc":1,"DOI":"10.5194/egusphere-egu24-14775"},"refs":null,"anarec":{"AnaID":391011,"PubliDate":2024,"Pagination":"EGU24-14775","XtraPublOfAnaID":null,"ISBN":null,"Volume":null,"Issue":null,"BRefMon":391001,"BRefMonRR":"(2024). 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