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  • 1
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    eWOCE-Electronic Atlas of WOCE Data, Alfred Wegener Institute for Polar and Marine Research, Bremerhaven (2002)
    PANGAEA
    Details
    Publication Date: 2023-02-24
    Keywords: WOCE; World Ocean Circulation Experiment
    Type: Dataset
    Format: text/html, 7 kBytes
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  • 2
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    (Figure 6) In situ measurements of particle sinking velocity at the site SC (GeoB12914-4) by the settling chamber versus equivalent spherical diameter
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: 238-3; Center for Marine Environmental Sciences; DEPTH, water; Equivalent spherical diameter, mean; GeoB12914-4; MARUM; PARCA; Particle camera; POS365/2; Poseidon; Sinking velocity; VIDEO; Video camera
    Type: Dataset
    Format: text/tab-separated-values, 107 data points
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  • 3
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    (Figure 4) Particle abundances at site PC (GeoB11834-3)
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: 375; Center for Marine Environmental Sciences; DEPTH, water; Digital camera, NIKON Coolpix; GeoB11834-3; Maria S. Merian; MARUM; MSM04/4b; PARCA; Particle camera; Particle concentration
    Type: Dataset
    Format: text/tab-separated-values, 229 data points
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  • 4
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    Particle camera and settling chamber measurements at site PC (GeoB11834-3) and SC (GeoB12914-4) off Cape Blanc/Mauritania
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Description: Particles sinking out of the euphotic zone are important vehicles of carbon export from the surface ocean. Most of the particles produce heavier aggregates by coagulating with each other before they sink. We implemented an aggregation model into the biogeochemical model of Regional Oceanic Modelling System (ROMS) to simulate the distribution of particles in the water column and their downward transport in the Northwest African upwelling region. Accompanying settling chamber, sediment trap and particle camera measurements provide data for model validation. In situ aggregate settling velocities measured by the settling chamber were around 55 m d**-1. Aggregate sizes recorded by the particle camera hardly exceeded 1 mm. The model is based on a continuous size spectrum of aggregates, characterised by the prognostic aggregate mass and aggregate number concentration. Phytoplankton and detritus make up the aggregation pool, which has an averaged, prognostic and size dependent sinking. Model experiments were performed with dense and porous approximations of aggregates with varying maximum aggregate size and stickiness as well as with the inclusion of a disaggregation term. Similar surface productivity in all experiments has been generated in order to find the best combination of parameters that produce measured deep water fluxes. Although the experiments failed to represent surface particle number spectra, in the deep water some of them gave very similar slope and spectrum range as the particle camera observations. Particle fluxes at the mesotrophic sediment trap site off Cape Blanc (CB) have been successfully reproduced by the porous experiment with disaggregation term when particle remineralisation rate was 0.2 d**-1. The aggregation-disaggregation model improves the prediction capability of the original biogeochemical model significantly by giving much better estimates of fluxes for both upper and lower trap. The results also point to the need for more studies to enhance our knowledge on particle decay and its variation and to the role that stickiness play in the distribution of vertical fluxes.
    Keywords: 238-3; 375; Center for Marine Environmental Sciences; GeoB11834-3; GeoB12914-4; Maria S. Merian; MARUM; MSM04/4b; PARCA; Particle camera; POS365/2; Poseidon
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 5
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    PANGAEA – an Information System for Geosciences; Poster presented during the XXVIII SCAR Open Science Conference, 25-31 July 2004 in Bremen, Germany (2005)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-06-08
    Type: Dataset
    Format: application/pdf, 2.1 MBytes
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  • 6
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    Hydrochemistry measured on water bottle samples during POLARSTERN cruise ANT-VIII/2
    PANGAEA
    In:  Supplement to: Mackensen, Andreas; Hubberten, Hans-Wolfgang; Scheele, Norbert; Schlitzer, Reiner (1996): Decoupling of d13CSUMCO2 and phosphate in recent Weddell Sea deep and bottom water: implications for glacial Southern Ocean paleoceanography. Paleoceanography, 11(2), 203-215, https://doi.org/10.1029/95PA03840
    Details
    Publication Date: 2023-06-27
    Description: On a section between 72°S and 42°S and a transect between 60°E and 10°E through the Weddell Sea and the southernmost eastern Atlantic Ocean, the water column was sampled on 72 stations, and the stable carbon isotopic composition of total dissolved inorganic carbon (delta13C(SumCO2)) as well as the stable oxygen isotopic composition of seawater (delta18O) was determined. These data were compared with potential temperature, salinity, dissolved oxygen and phosphate data from the same stations. The observed delta13C(SumCO2)/PO4[3-] relationship in the deep Weddell Sea strongly differs from the global Redfield-driven deep water relationship. We attribute this to enhanced thermodynamic fractionation at sites of bottom water formation that decouples the nutrient signal from the delta13C(SumCO2) signal not only in surface and intermediate water masses but also in deep and bottom water. Different, water-mass specific thermodynamic imprints due to different modes of bottom water formation are assumed to cause the observed deviation from the global delta13C(SumCO2)/PO4[3-] relationship in the deep Weddell Sea. The influence of increased photosynthetic fractionation, i.e., a more negative than low-latitude isotopic organic carbon composition, is shown to be minor. As a result, Recent Weddell Sea deep and bottom water delta13C(SumCO2) is by 0.4-0.5 per mil higher than expected if solely biologic fractionation would occur. A discussion of simple hypotheses of Weddell Sea deep and bottom water formation during glacial times reveals that regardless of what scenario is considered, the thermodynamic imprint on Southern Ocean deep water would increase. This makes it difficult to explain low glacial delta13C values observed in benthic foraminifera from the subpolar Southern Ocean as being calcified in Antarctic source bottom water and thus is in support of hypotheses looking for additional sites of deep water formation.
    Keywords: Agulhas Basin; ANT-VIII/2; ANT-VIII/3; Atlantic Ridge; AWI_Paleo; Calculated after Broecker & Maier-Reimer 1992; CFA; Continuous Flow Analysis; CTD, Neil Brown, Mark III B; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Indian-Antarctic Ridge; Latitude of event; Longitude of event; Mass spectrometer Finnigan Delta-S; Mass spectrometer Finnigan MAT 252; Meteor Rise; MUC; MULT; MultiCorer; Multiple investigations; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Phosphate; Polarstern; Pressure, water; PS16; PS16/119; PS16/124; PS16/129; PS16/134; PS16/137; PS16/140; PS16/143; PS16/145; PS16/146; PS16/147; PS16/149; PS16/150; PS16/151; PS16/152; PS16/153; PS16/154; PS16/155; PS16/156; PS16/157; PS16/159; PS16/162; PS16/164; PS16/166; PS16/167; PS16/169; PS16/171; PS16/172; PS16/174; PS16/176; PS16/177; PS16/179; PS16/180; PS16/182; PS16/183; PS16/184; PS16/185; PS16/186; PS16/187; PS16/188; PS16/189; PS16/192; PS16/193; PS16/194; PS16/195; PS16/197; PS16/198; PS16/199; PS16/200; PS16/201; PS16/202; PS16/203; PS16/204; PS16/205; PS16/207; PS16/208; PS16/209; PS16/210; PS16/211; PS16/212; PS16/213; PS16/217; PS16/219; PS16/221; PS16/262; PS16/267; PS16/281; PS16/294; PS16/297; PS16/311; PS16/316; PS16/321; PS16/323; PS16 06AQANTVIII_2; PS1750-7; PS1751-1; PS1755-2; PS1759-5; PS1760-1; PS1768-4; PS1771-4; PS1772-1; PS1773-3; Salinity; SFB261; Shona Ridge; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents; Temperature, water, potential; Van Heesen Ridge; Water sample; Weddell Sea; WS; Δδ13C; δ13C, dissolved inorganic carbon; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 7920 data points
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  • 7
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    Calculated sea surface temperatures for the last glacial maximum in the tropical Atlantic (2000)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Keywords: A150/180; A152-84; A153-154; A157-3; A164-13; A164-15; A164-16; A164-17; A164-23; A167-12; A167-13; A167-18TW; A167-1TW; A179-13; A179-15; A179-20; A179-24; A179-6; A179-7; A180-13; A180-15; A180-20; A180-39; A180-69; A180-70; A180-72; A180-76; A180-78; A181/185; A181-7; A181-9; A260210A; Atlantic; Atlantic Ocean; AWI_Paleo; Barcelona Coast; Calculated; Calculated, see reference(s); Chlorophyll total; CIRCE; CIRCE-239; CLIMAP; Climate: Long-Range Investigation, Mapping, and Prediction; Cork Harbour; Danube Delta; Danube Delta Coast; DEPTH, water; Event label; FFC; Free fall corer; Grab; GRAB; Guadiana Estuary; Gulf of Riga; Himmerfjarden; Indian Ocean; KM1-41; LATITUDE; Limfjorden; LONGITUDE; Melville; Oder Estuary; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; PC; Pertuis Charentais; Piston corer; RC08; RC08-16; RC08-18; RC08-22; RC08-23; RC08-27; RC08-28; RC09; RC09-212; RC09-222; RC09-225; RC09-61; RC10; RC10-22; RC10-49; RC11; RC11-10; RC11-11; RC1112; RC11-12; RC11-13; RC11-14; RC11-15; RC11-16; RC11-21; RC11-22; RC11-255; RC11-26; RC11-260; RC11-35; RC11-37; RC11-78; RC11-79; RC11-80; RC11-86; RC11-9; RC12; RC12-233; RC12-235; RC12-241; RC12-266; RC12-268; RC12-291; RC12-292; RC12-293; RC12-294; RC12-297; RC12-298; RC12-299; RC12-300; RC12-303; RC12-304; RC13; RC13-158; RC13-189; RC13-190; RC13-195; RC13-196; RC13-197; RC13-199; RC13-209; RC13-210; RC13-229; RC13-242; RC13-253; RC13-275; RC15; RC15-115; RC15-143; RC15-145; RC15-151; RC15-91; RC15-93; RC15-94; RE009-7; Robert Conrad; Scheldt Delta Estuary; Sea surface temperature, annual mean; Sea surface temperature, production weighted; Sea surface temperature, seasonal, delta; Sea surface temperature, spring; SFB261; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents; South Atlantic Ocean; SP009-003; SP010-005; Taranto Mare Piccolo; TC; Thau Lagoon; Thermaikos Gulf; Trigger corer; V02; V02-9; V03; V03-128; V04; V04-12; V04-32; V04-8; V05; V05-1; V05-31; V05-40; V06; V06-5; V07; V07-13; V07-42; V07-53; V07-67; V07-68; V09; V09-31; V10; V10-88; V10-89; V12; V12-122; V12-18; V12-4; V12-43; V12-53; V12-56; V12-66; V12-7; V12-79; V12-80; V14; V14-4; V14-47; V14-5; V14-7; V15; V15-136; V15-137; V15-164; V15-206; V16; V16-189; V16-190; V16-20; V16-200; V16-205; V16-206; V16-209; V16-21; V16-227; V16-23; V16-31; V16-33; V16-35; V16-36; V16-37; V16-39; V16-41; V16-50; V17; V17-1; V17-144; V17-147; V17-158; V17-162; V17-163; V17-164; V17-165; V17-192; V17-196; V18; V18-110; V18-117; V18-126; V18-16; V18-168; V18-182; V18-21; V18-34; V18-373; V19; V19-240; V19-242; V19-245; V19-246; V19-248; V19-262; V19-283; V19-296; V19-298; V19-308; V20; V20-213; V20-227; V20-228; V20-230; V20-233; V20-234; V20-235; V20-242; V20-253; V20-7; V22; V22-106; V22-107; V22-122; V22-168; V22-169; V22-172; V22-175; V22-177; V22-179; V22-180; V22-182; V22-188; V22-202; V22-204; V22-211; V22-219; V22-232; V22-24; V22-26; V22-36; V22-38; V22-71; V22-92; V22-93; V22-94; V23; V23-101; V23-105; V23-107; V23-13; V23-22; V23-29; V23-38; V23-60; V23-81; V23-82; V23-83; V23-84; V23-96; V24; V24-220; V24-221; V24-223; V24-229; V24-235; V24-237; V24-241; V24-8; V25; V25-24; V25-46; V26; V26-100; V26-165; V26-31; V26-50; V26-51; V26-52; V26-53; V26-55; V26-63; V26-68; V27; V27-10; V27-104; V27-114; V27-122; V27-126; V27-136; V27-137; V27-143; V27-144; V27-15; V27-16; V27-162; V27-164; V27-167; V27-172; V27-175; V27-178; V27-181; V27-184; V27-188; V27-190; V27-191; V27-192; V27-20; V27-206; V27-21; V27-215; V27-227; V27-228; V27-23; V27-233; V27-234; V27-239; V27-24; V27-248; V27-25; V27-250; V27-254; V27-266; V27-28; V27-30; V27-32; V27-33; V27-38; V27-7; V28; V28-124; V28-25; V28-28; V28-29; V28-30; V28-34; V28-36; V28-41; V28-55; V28-65; V28-66; V28-7; V28-82; V28-83; V28-89; V28-90; V28-98; V29; V29-134; V29-135; V29-144; V29-167; V29-170; V29-176; V29-177; V29-178; V29-179; V29-180; V29-183; V29-184; V29-189; V29-190; V29-193; V29-194; V29-198; V29-200; V29-202; V29-203; V29-204; V29-205; V29-209; V29-210; V29-211; V29-214; V29-215; V29-220; V29-222; V29-223; V29-93; V30; V30-49; V30-52; V30-54; V30-56; V30-58; V30-59; V30-61; V30-62; V30-64; V30-65; V30-67; V30-68; Vema
    Type: Dataset
    Format: text/tab-separated-values, 1780 data points
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  • 8
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    Surface Ocean CO2 Atlas (SOCAT) V2 (2014)
    PANGAEA
    In:  Supplement to: Bakker, Dorothee C E; Pfeil, Benjamin; Smith, Karl; Hankin, Steven; Olsen, Are; Alin, Simone R; Cosca, Catherine E; Harasawa, Sumiko; Kozyr, Alexander; Nojiri, Yukihiro; O'Brien, Kevin M; Schuster, Ute; Telszewski, Maciej; Tilbrook, Bronte; Wada, Chisato; Akl, John; Barbero, Leticia; Bates, Nicolas R; Boutin, Jacqueline; Bozec, Yann; Cai, Wei-Jun; Castle, Robert D; Chavez, Francisco P; Chen, Lei; Chierici, Melissa; Currie, Kim I; de Baar, Hein J W; Evans, Wiley; Feely, Richard A; Fransson, Agneta; Gao, Zhongyong; Hales, Burke; Hardman-Mountford, Nicolas J; Hoppema, Mario; Huang, Wei-Jen; Hunt, Christopher W; Huss, Betty; Ichikawa, Tadafumi; Johannessen, Truls; Jones, Elizabeth M; Jones, Steve D; Jutterstrøm, Sara; Kitidis, Vassilis; Körtzinger, Arne; Landschützer, Peter; Lauvset, Siv K; Lefèvre, Nathalie; Manke, Ansley; Mathis, Jeremy T; Merlivat, Liliane; Metzl, Nicolas; Murata, Akihiko; Newberger, Timothy; Omar, Abdirahman M; Ono, Tsuneo; Park, Geun-Ha; Paterson, Kristina; Pierrot, Denis; Ríos, Aida F; Sabine, Christopher L; Saito, Shu; Salisbury, Joe; Sarma, Vedula V S S; Schlitzer, Reiner; Sieger, Rainer; Skjelvan, Ingunn; Steinhoff, Tobias; Sullivan, Kevin; Sun, Heng; Sutton, Adrienne; Suzuki, Toru; Sweeney, Colm; Takahashi, Taro; Tjiputra, Jerry; Tsurushima, Nobuo; van Heuven, Steven; Vandemark, Doug; Vlahos, Penny; Wallace, Douglas WR; Wanninkhof, Rik; Watson, Andrew J (2014): An update to the Surface Ocean CO2 Atlas (SOCAT version 2). Earth System Science Data, 6(1), 69-90, https://doi.org/10.5194/essd-6-69-2014
    Details
    Publication Date: 2024-02-17
    Description: The Surface Ocean CO2 Atlas (SOCAT), an activity of the international marine carbon research community, provides access to synthesis and gridded fCO2 (fugacity of carbon dioxide) products for the surface oceans. Version 2 of SOCAT is an update of the previous release (version 1) with more data (increased from 6.3 million to 10.1 million surface water fCO2 values) and extended data coverage (from 1968-2007 to 1968-2011). The quality control criteria, while identical in both versions, have been applied more strictly in version 2 than in version 1. The SOCAT website (http://www.socat.info/) has links to quality control comments, metadata, individual data set files, and synthesis and gridded data products. Interactive online tools allow visitors to explore the richness of the data. Applications of SOCAT include process studies, quantification of the ocean carbon sink and its spatial, seasonal, year-to-year and longerterm variation, as well as initialisation or validation of ocean carbon models and coupled climate-carbon models.
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 2669 datasets
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  • 9
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    Surface Ocean CO2 Atlas (SOCAT) V3 (2016)
    PANGAEA
    In:  Supplement to: Bakker, Dorothee C E; Pfeil, Benjamin; Landa, Camilla S; Metzl, Nicolas; O'Brien, Kevin M; Olsen, Are; Smith, Karl; Cosca, Catherine E; Harasawa, Sumiko; Jones, Steve D; Nakaoka, Shin-Ichiro; Nojiri, Yukihiro; Schuster, Ute; Steinhoff, Tobias; Sweeney, Colm; Takahashi, Taro; Tilbrook, Bronte; Wada, Chisato; Wanninkhof, Rik; Alin, Simone R; Balestrini, Carlos F; Barbero, Leticia; Bates, Nicolas R; Bianchi, Alejandro A; Bonou, Frédéric Kpédonou; Boutin, Jacqueline; Bozec, Yann; Burger, Eugene; Cai, Wei-Jun; Castle, Robert D; Chen, Liqi; Chierici, Melissa; Currie, Kim I; Evans, Wiley; Featherstone, Charles; Feely, Richard A; Fransson, Agneta; Goyet, Catherine; Greenwood, Naomi; Gregor, Luke; Hankin, Steven; Hardman-Mountford, Nicolas J; Harlay, Jérôme; Hauck, Judith; Hoppema, Mario; Humphreys, Matthew P; Hunt, Christopher W; Huss, Betty; Ibánhez, J Severino P; Johannessen, Truls; Keeling, Ralph F; Kitidis, Vassilis; Körtzinger, Arne; Kozyr, Alexander; Krasakopoulou, Evangelia; Kuwata, Akira; Landschützer, Peter; Lauvset, Siv K; Lefèvre, Nathalie; Lo Monaco, Claire; Manke, Ansley; Mathis, Jeremy T; Merlivat, Liliane; Millero, Frank J; Monteiro, Pedro M S; Munro, David R; Murata, Akihiko; Newberger, Timothy; Omar, Abdirahman M; Ono, Tsuneo; Paterson, Kristina; Pearce, David J; Pierrot, Denis; Robbins, Lisa L; Saito, Shu; Salisbury, Joe; Schlitzer, Reiner; Schneider, Bernd; Schweitzer, Roland; Sieger, Rainer; Skjelvan, Ingunn; Sullivan, Kevin; Sutherland, Stewart C; Sutton, Adrienne; Tadokoro, Kazuaki; Telszewski, Maciej; Tuma, Matthias; van Heuven, Steven; Vandemark, Doug; Ward, Brian; Watson, Andrew J; Xu, Suqing (2016): A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT). Earth System Science Data, 8(2), 383-413, https://doi.org/10.5194/essd-8-383-2016
    Details
    Publication Date: 2024-02-17
    Description: The Surface Ocean CO2 Atlas (SOCAT) is a synthesis of quality-controlled fCO2 (fugacity of carbon dioxide) values for the global surface oceans and coastal seas with regular updates. Version 3 of SOCAT has 14.5 million fCO2 values from 3646 data sets covering the years 1957 to 2014. This latest version has an additional 4.4 million fCO2 values relative to version 2 and extends the record from 2011 to 2014. Version 3 also significantly increases the data availability for 2005 to 2013. SOCAT has an average of approximately 1.2 million surface water fCO2 values per year for the years 2006 to 2012. Quality and documentation of the data has improved. A new feature is the data set quality control (QC) flag of E for data from alternative sensors and platforms. The accuracy of surface water fCO2 has been defined for all data set QC flags. Automated range checking has been carried out for all data sets during their upload into SOCAT. The upgrade of the interactive Data Set Viewer allows better interrogation of the SOCAT data collection and rapid creation of high-quality figures for scientific presentations. Automated data upload has been launched for version 4 and will enable more frequent SOCAT releases in the future. High-profile scientific applications of SOCAT include quantification of the ocean sink for atmospheric carbon dioxide and its long-term variation, detection of ocean acidification, as well as evaluation of coupled-climate and ocean-only biogeochemical models. Users of SOCAT data products are urged to acknowledge the contribution of data providers, as stated in the SOCAT Fair Data Use Statement. This living data publication documents changes in the methods and data sets used in this new version of the SOCAT data collection compared with previous publications of this data collection (Pfeil et al., 2013; Sabine et al., 2013; Bakker et al., 2014).
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 3657 datasets
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  • 10
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    Surface Ocean CO2 Atlas (SOCAT) V5 (2017)
    PANGAEA
    In:  Supplement to: Bakker, Dorothee C E; O'Brien, Kevin M; Pfeil, Benjamin; Currie, Kim I; Kozyr, Alexander; Landa, Camilla S; Lauvset, Siv K; Metzl, Nicolas; Nakaoka, Shin-Ichiro; Nojiri, Yukihiro; Nonaka, Isao; Olsen, Are; Omar, Abdirahman M; Pierrot, Denis; Saito, Shu; Smith, Karl; Sutton, Adrienne; Sullivan, Kevin; Tilbrook, Bronte; Wanninkhof, Rik; Akl, John; Alin, Simone R; Barbero, Leticia; Barrera, Kira E; Beaumont, Laurence; Becker, Meike; Bernard, Christophe; Bott, Randy; Byrne, Robert; Cai, Wei-Jun; Cosca, Catherine E; Cross, Jessica; Daly, Kendra L; Danguy, Théo; De Carlo, Eric Heinen; Dietrich, Colin; Feely, Richard A; Fiedler, Björn; Glockzin, Michael; Gove, Matthew D; Goyet, Catherine; Guillot, Antoine; Hales, Burke; Hartman, Sue E; Herndon, Julian; Hoppema, Mario; Humphreys, Matthew P; Hunt, Christopher W; Huss, Betty; Hydes, David; Ibánhez, J Severino P; Ishii, Masao; Johannessen, Truls; Jones, Steve D; Kitidis, Vassilis; Knorr, Paul O; Körtzinger, Arne; Kosugi, Naohiro; Lee, Charity M; Lefèvre, Nathalie; Lo Monaco, Claire; Liu, Xuewu; Maenner, Stacy M; Manke, Ansley; Manzello, Derek P; Mathis, Jeremy T; Mickett, John; Millero, Frank J; Monacci, Natalie; Monteiro, Pedro; Morell, Julio; Munro, David R; Musielewicz, Sylvia; Neill, Craig; Newberger, Timothy; Newton, Jan; Noakes, Scott; Noh, Jae Hoon; Ohman, Mark; Ólafsdóttir, Sólveig Rósa; Ólafsson, Jón; Osborne, John; Padín, Xose Antonio; Rehder, Gregor; Reimer, Janet J; Robbins, Lisa L; Rutgersson, Anna; Sabine, Christopher L; Salisbury, Joe; Sasano, Daisuke; Schlitzer, Reiner; Schuster, Ute; Send, Uwe; Sieger, Rainer; Skjelvan, Ingunn; Steinhoff, Tobias; Sutherland, Stewart C; Sweeney, Colm; Takahashi, Taro; Telszewski, Maciej; Vandemark, Doug; van Heuven, Steven; Wallace, Douglas WR; Woosley, Ryan J; Wynn, Jonathan G; Yates, Kimberly Kaye (in prep.): Version 5 of the Surface Ocean CO2 Atlas (SOCAT).
    Details
    Publication Date: 2024-02-17
    Description: The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon research community (〉100 contributors). SOCAT version 5 has 21.5 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations from 1957 to 2017 for the global oceans and coastal seas. Calibrated sensor data are also available. Automation allows annual, public releases. SOCAT data is discoverable, accessible and citable. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT, which celebrates its 10th anniversary in 2017, represents a milestone in biogeochemical and climate research and in informing policy.
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 823 datasets
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