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  • 1
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    The Role of Zooplankton Grazing and Nutrient Recycling for Global Ocean Biogeochemistry and Phytoplankton Phenology (2022)
    Details
    Publication Date: 2024-03-12
    Description: Zooplankton plays a notable role in ocean biogeochemical cycles. However, it is often simulated as one generic group and top closure term in ocean biogeochemical models. This study presents the description of three zooplankton functional types (zPFTs, micro‐, meso‐ and macrozooplankton) in the ocean biogeochemical model FESOM‐REcoM. In the presented model, microzooplankton is a fast‐growing herbivore group, mesozooplankton is another major consumer of phytoplankton, and macrozooplankton is a slow‐growing group with a low temperature optimum. Meso‐ and macrozooplankton produce fast‐sinking fecal pellets. With three zPFTs, the annual mean zooplankton biomass increases threefold to 210 Tg C. The new food web structure leads to a 25% increase in net primary production and a 10% decrease in export production globally. Consequently, the export ratio decreases from 17% to 12% in the model. The description of three zPFTs reduces model mismatches with observed dissolved inorganic nitrogen and chlorophyll concentrations in the South Pacific and the Arctic Ocean, respectively. Representation of three zPFTs also strongly affects phytoplankton phenology: Fast nutrient recycling by zooplankton sustains higher chlorophyll concentrations in summer and autumn. Additional zooplankton grazing delays the start of the phytoplankton bloom by 3 weeks and controls the magnitude of the bloom peak in the Southern Ocean. As a result, the system switches from a light‐controlled Sverdrup system to a dilution‐controlled Behrenfeld system. Overall, the results suggest that representation of multiple zPFTs is important to capture underlying processes that may shape the response of ecosystems and ecosystem services to on‐going and future environmental change in model projections.
    Description: Plain Language Summary: Zooplankton plays an important role in the ocean food web and biogeochemical cycles. However, it is often represented in very simple forms in mathematical models that are, for example, used to investigate how marine primary productivity will react to climate change. To understand how these models would change when more complicated formulations for zooplankton are used, we present here a new version of the model with three (instead of only one) zooplankton groups. We find that this more complicated representation leads to higher zooplankton biomass, which is closer to observations, and this stimulates growth of phytoplankton since zooplankton also returns nutrients into the system. In addition, zooplankton grazing controls the seasonal cycle of phytoplankton, as we show for one example in the Southern Ocean.
    Description: Key Points: Nutrient recycling by zooplankton stimulates net primary production in the biogeochemical model REcoM‐2. Modeling zooplankton functional types (zPFTs) leads to a switch from a light‐controlled Sverdrup system to a dilution‐controlled Behrenfeld system. Implementing multiple zPFTs improves the modeled zooplankton biomass and zooplankton‐mediated biogeochemical fluxes.
    Description: Helmholtz Young Investigator Group Marine Carbon and Ecosystem Feedbacks in the Earth System [MarESys]
    Description: https://doi.org/10.1594/PANGAEA.779970
    Description: https://doi.org/10.1594/PANGAEA.785501
    Description: https://doi.org/10.1594/PANGAEA.777398
    Description: https://www.nodc.noaa.gov/OC5/woa18/woa18data.html
    Description: http://sites.science.oregonstate.edu/ocean.productivity/index.php
    Description: https://doi.pangaea.de/10.1594/PANGAEA.942192
    Keywords: ddc:577.7 ; Southern Ocean ; zooplankton ; ocean food web ; biogeochemical cycles ; modeling
    Language: English
    Type: doc-type:article
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    CITATION GEO-LEO
  • 2
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    Southern Ocean CO2 uptake and buffer factor from model run 2012-2100, with links to model results (2015)
    PANGAEA
    In:  Supplement to: Hauck, Judith; Völker, Christoph (2015): Rising atmospheric CO2 leads to large impact of biology on Southern Ocean CO2 uptake via changes of the Revelle factor. Geophysical Research Letters, 42(5), 1459-1464, https://doi.org/10.1002/2015GL063070
    Details
    Publication Date: 2023-01-13
    Description: The Southern Ocean is a key region for global carbon uptake and is characterised by a strong seasonality with the annual CO2 uptake being mediated by biological carbon draw-down in summer. Here, we show that the contribution of biology to CO2 uptake will become even more important until 2100. This is the case even if biological production remains unaltered and can be explained by the decreasing buffer capacity of the ocean as its carbon content increases. The same amount of biological carbon draw-down leads to a more than twice as large reduction in CO2 (aq) concentration and hence to a larger CO2 gradient between ocean and atmosphere that drives the gas-exchange. While the winter uptake south of 44°S changes little, the summer uptake increases largely and is responsible for the annual mean response. The combination of decreasing buffer capacity and strong seasonality of biological carbon draw-down introduces a strong and increasing seasonality in the anthropogenic carbon uptake.
    Keywords: File content; Uniform resource locator/link to file; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
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    DATA PANGAEA
  • 3
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    The fate of carbon and nutrients exported out of the Southern Ocean, links to model results (2018)
    PANGAEA
    In:  Supplement to: Hauck, Judith; Lenton, Andrew; Langlais, Clothilde; Matear, Richard J (2018): The fate of carbon and nutrients exported out of the Southern Ocean. Global Biogeochemical Cycles, 32(10), 1556-1573, https://doi.org/10.1029/2018GB005977
    Details
    Publication Date: 2023-01-13
    Description: 4-year means of 2D fields CO2 flux, nanophytoplankton NPP, diatom NPP, carbon export, and of 3D fields DIN, DIC, DSi, DFe, nanophytoplankton carbon biomass, diatom carbon biomass, detritus carbon. Six 200-year simulations as described in Table 1 in the paper: CTRL NOBIO NOBIOGASEX CTRL-diseq NOBIO-diseq NOBIOGASEX-diseq Filenames start with above mentioned simulation names and then "diag2" for 2d fields and "TRACdiag" for 3d tracer fields.
    Keywords: File content; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    On the Southern Ocean CO2 uptake and the role of the biological carbon pump in the 21st century, links to supplementary material (2015)
    PANGAEA
    In:  Supplement to: Hauck, Judith; Völker, Christoph; Wolf-Gladrow, Dieter A; Laufkötter, Charlotte; Vogt, Meike; Aumont, Olivier; Bopp, Laurent; Buitenhuis, Erik Theodoor; Doney, Scott C; Dunne, John; Gruber, Nicolas; Hashioka, Taketo; John, Jasmin; Le Quéré, Corinne; Lima, Ivan D; Nakano, Hideyuki; Séférian, Roland; Totterdell, Ian J (2015): On the Southern Ocean CO2 uptake and the role of the biological carbon pump in the 21st century. Global Biogeochemical Cycles, 29(9), 1451-1470, https://doi.org/10.1002/2015GB005140
    Details
    Publication Date: 2023-01-13
    Description: We use a suite of eight ocean biogeochemical/ecological general circulation models from the MAREMIP and CMIP5 archives to explore the relative roles of changes in winds (positive trend of Southern Annular Mode, SAM) and in warming- and freshening-driven trends of upper ocean stratification in altering export production and CO2 uptake in the Southern Ocean at the end of the 21st century. The investigated models simulate a broad range of responses to climate change, with no agreement ona dominance of either the SAM or the warming signal south of 44° S. In the southernmost zone, i.e., south of 58° S, they concur on an increase of biological export production, while between 44 and 58° S the models lack consensus on the sign of change in export. Yet, in both regions, the models show an enhanced CO2 uptake during spring and summer. This is due to a larger CO 2 (aq) drawdown by the same amount of summer export production at a higher Revelle factor at the end of the 21st century. This strongly increases the importance of the biological carbon pump in the entire Southern Ocean. In the temperate zone, between 30 and 44° S all models show a predominance of the warming signal and a nutrient-driven reduction of export production. As a consequence, the share of the regions south of 44° S to the total uptake of the Southern Ocean south of 30° S is projected to increase at the end of the 21st century from 47 to 66% with a commensurable decrease to the north. Despite this major reorganization of the meridional distribution of the major regions of uptake, the total uptake increases largely in line with the rising atmospheric CO2. Simulations with the MITgcm-REcoM2 model show that this is mostly driven by the strong increase of atmospheric CO2, with the climate-driven changes of natural CO2 exchange offsetting that trend only to a limited degree (~10%) and with negligible impact of climate effects on anthropogenic CO2 uptake when integrated over a full annual cycle south of 30° S.
    Keywords: File content; Uniform resource locator/link to file; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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    DATA PANGAEA
  • 5
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    Calcium carbonate content in surface sediments and benthic fauna on Antarctic shelves
    PANGAEA
    In:  Supplement to: Hauck, Judith; Gerdes, Dieter; Hillenbrand, Claus-Dieter; Hoppema, Mario; Kuhn, Gerhard; Nehrke, Gernot; Völker, Christoph; Wolf-Gladrow, Dieter A (2012): Distribution and mineralogy of carbonate sediments on Antarctic shelves. Journal of Marine Systems, 90(1), 77-87, https://doi.org/10.1016/j.jmarsys.2011.09.005
    Details
    Publication Date: 2023-06-27
    Description: We analyzed 214 new core-top samples for their CaCO3 content from shelves all around Antarctica in order to understand their distribution and contribution to the marine carbon cycle. The distribution of sedimentary CaCO3 on the Antarctic shelves is connected to environmental parameters where we considered water depth, width of the shelf, sea-ice coverage and primary production. While CaCO3 contents of surface sediments are usually low, high(〉 15%) CaCO3 contents occur at shallow water depths (150-200 m) on narrow shelves of the eastern Weddell Sea and at a depth range of 600-900 m on the broader and deeper shelves of the Amundsen, Bellingshausen and western Weddell Seas. Regions with high primary production, such as the Ross Sea and the western Antarctic Peninsula region, have generally low CaCO3 contents in the surface sediments. The predominant mineral phase of CaCO3 on the Antarctic shelves is low-magnesium calcite. With respect to ocean acidification, our findings suggest that dissolution of carbonates in Antarctic shelf sediments may be an important negative feedback only after the onset of calcite undersaturation on the Antarctic shelves. Macrozoobenthic CaCO3 standing stocks do not increase the CaCO3 budget significantly as they are two orders of magnitude lower than the budget of the sediments. This first circumpolar compilation of Antarctic shelf carbonate data does not claim to be complete. Future studies are encouraged and needed to fill data gaps especially in the under-sampled southwest Pacific and Indian Ocean sectors of the Southern Ocean.
    Keywords: ANT-III/2; ANT-IX/3; ANT-V/1; ANT-VI/3; ANT-VII/4; ANT-XIII/3; ANT-XIX/5; ANT-XV/3; ANT-XVII/3; ANT-XXI/2; ANT-XXIII/8; BIOACID; Biological Impacts of Ocean Acidification; Drake Passage; Giant box corer; GKG; Haul 1; Haul 10; Haul 11; Haul 12; Haul 20; Haul 22; Haul 23; Haul 24; Haul 25; Haul 26; Haul 27; Haul 28; Haul 29; Haul 30; Haul 31; Haul 33; Haul 35; Haul 36; Haul 37; Haul 38; Haul 4; Haul 5; Haul 6; Haul 8; Haul 9; Kapp Norvegia; Lazarev Sea; MG; MULT; Multiboxcorer; Multiple investigations; Polarstern; PS06; PS06/120-1; PS06/151-7; PS06/158-1; PS06/196-2; PS06/203-2; PS06/207-3; PS06/208-1; PS09/004-2; PS09/010-3; PS09/020-2; PS09/091-6; PS09/115-3; PS09/119-5; PS09/123-5; PS09/126-5; PS09/132-2; PS09/134-3; PS09/136-4; PS09/138-3; PS09/139-3; PS09/140-3; PS09/141-3; PS09/142-4; PS09/143-3; PS09/145-3; PS09/147-3; PS09/148-3; PS09/149-4; PS09/150-1; PS09/151-3; PS09/152-3; PS09/153-3; PS09/154-3; PS09/155-2; PS09 WWSP86 SIBEX; PS12; PS12/266; PS12/298; PS12/305; PS12/308; PS12/314; PS12/323; PS12/333; PS12/342; PS12/344; PS12/346; PS12/348; PS12/354; PS12/362-2; PS12/372; PS12/378; PS12/384; PS12/387; PS12/396; PS12/418; PS12/437; PS12/503; PS12/512-2; PS14/229-1; PS14/235-1; PS14/241-1; PS14/245-1; PS14/248-1; PS14/249-1; PS14/250-11; PS14/250-8; PS14/274-1; PS14/277-1; PS14/292-1; PS14 EPOS I; PS1579-1; PS1589-1; PS1593-1; PS1594-1; PS1597-1; PS1601-1; PS1604-1; PS1608-1; PS1609-1; PS1610-4; PS1611-1; PS1614-1; PS1621-1; PS1624-1; PS1627-1; PS1628-2; PS1629-1; PS1631-1; PS1632-1; PS1641-1; PS18; PS18/127; PS18/129; PS18/135; PS18/162; PS18/165; PS18/171; PS18/173; PS18/175-8; PS18/179-4; PS18/180-5; PS18/189; PS18/212-7; PS18/216; PS18/220-1; PS18/222; PS1995-1; PS1997-2; PS1998-1; PS2016-3; PS2018-1; PS2024-1; PS2026-2; PS2042-2; PS2063-1; PS2068-1; PS39/002-3; PS39/002-4; PS39/002-6; PS39/002-7; PS39/004-9; PS39/005-13; PS39/005-14; PS39/005-15; PS39/005-6; PS39/006-17; PS39/006-19; PS39/006-20; PS39/006-21; PS39/008-4; PS39/008-5; PS39/008-7; PS39/009-10; PS39/009-11; PS39/009-12; PS39/009-6; PS39/009-9; PS39/024-7; PS39/024-8; PS39/025-8; PS39/026-4; PS39 EASIZ; PS48/047; PS48/048; PS48/063; PS48/065-2; PS48/067; PS48/068; PS48/069; PS48/092; PS48/146; PS48/188; PS48/216; PS48/223; PS48/224; PS48/225; PS48/227; PS48/228; PS48/230; PS48/299; PS48/300; PS48/325; PS48/326; PS48/341; PS48/345; PS48 EASIZ II; PS56/090-1; PS56/098-2; PS56/108-1; PS56/112-1; PS56/113-1; PS56/114-1; PS56/120-1; PS56/121-1; PS56/135-6; PS56/137-1; PS56/148-3; PS56/160-2; PS56/161-2; PS56/162-2; PS56/169-1; PS56/176-2; PS56/177-3; PS56/178-1; PS56/179-1; PS56/180-1; PS56/190-2; PS56/190-3; PS56 EASIZ III; PS61/163-1; PS61/176-1; PS61 LAMPOS; PS65/076-1; PS65/077-1; PS65/080-1; PS65/082-1; PS65/084-1; PS65/105-1; PS65/106-1; PS65/116-1; PS65/124-1; PS65/125-1; PS65/183-1; PS65/185-1; PS65/187-1; PS65/197-1; PS65/199-1; PS65/201-1; PS65/202-1; PS65/282-1; PS65/331-1; PS65 BENDEX; PS69; PS69/693-3; PS69/700-1; PS69/701-1; PS69/703-4; PS69/704-1; PS69/706-3; PS69/709-6; PS69/715-3; PS69/718-7; PS69/722-2; PS69/725-4; Scotia Sea, southwest Atlantic; South Atlantic Ocean; South Pacific Ocean; van Veen Grab; VGRAB; Walther Herwig II; Weddell Sea; Weddell Sea, Larsen-A; Weddell Sea, Larsen-B; WH068/1; WH068/1_089; WH068/1_090; WH068/1_096; WH068/1_100; WH068/1_101; WH068/1_102; WH068/1_106; WH068/1_107; WH068/1_114; WH068/1_116; WH068/1_120; WH068/1_133; WH068/1_137; WH068/1_142; WH068/1_143; WH068/1_148; WH068/1_149; WH068/1_154; WH068/1_155; WH068/1_160; WH068/1_161; WH068/1_165; WH068/1_166; WH068/1_171; WH068/2; WH068/2_266; WH068/2_275; WH068/2_278; WH068/2_287; WH068/2_293; WH068/2_311; WH068/2_312; WH068/2_313; WH068/2_319; WH068/2_320; WH113/1, SIBEX-II; WH113/2, SIBEX-II
    Type: Dataset
    Format: application/zip, 2 datasets
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    DATA PANGAEA
  • 6
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    Calcium carbonate content in surface sediments on Antarctic shelves
    PANGAEA
    Details
    Publication Date: 2023-06-21
    Keywords: Area/locality; BIOACID; Biological Impacts of Ocean Acidification; Calcium carbonate; Depth, bathymetric; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Gear; LATITUDE; LONGITUDE; Reference of data; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 2842 data points
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    DATA PANGAEA
  • 7
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    Figure 7: Carbonate contribution in macrozoobenthos from the west and east Antarctic Peninsula and western and eastern Weddell Sea regions (2012)
    PANGAEA
    Details
    Publication Date: 2023-07-10
    Keywords: ANT-III/2; ANT-IX/3; ANT-V/1; ANT-VI/3; ANT-VII/4; ANT-XIII/3; ANT-XIX/5; ANT-XV/3; ANT-XVII/3; ANT-XXI/2; ANT-XXIII/8; Area/locality; Asteroidea in mass Calcium carbonate per area; Benthos, mass of calcium carbonate; BIOACID; Biological Impacts of Ocean Acidification; Bivalvia, CaCO3; Brachiopoda, CaCO3; Bryozoa, CaCO3; Calculated from wet weight after Brey et al. 2010; Campaign of event; Crinoidea, CaCO3; Depth, bathymetric; DEPTH, sediment/rock; Drake Passage; Echinoidea, CaCO3; Event label; Gastropoda, CaCO3; Giant box corer; GKG; Haul 1; Haul 10; Haul 11; Haul 12; Haul 20; Haul 22; Haul 23; Haul 24; Haul 25; Haul 26; Haul 27; Haul 28; Haul 29; Haul 30; Haul 31; Haul 33; Haul 35; Haul 36; Haul 37; Haul 38; Haul 4; Haul 5; Haul 6; Haul 8; Haul 9; Holothuroidea, CaCO3; Hydrozoa, CaCO3; Kapp Norvegia; Latitude of event; Lazarev Sea; Longitude of event; Method/Device of event; MG; MULT; Multiboxcorer; Multiple investigations; Ophiuroidea, CaCO3; Optional event label; Polarstern; PS06; PS06/120-1; PS06/151-7; PS06/158-1; PS06/196-2; PS06/203-2; PS06/207-3; PS06/208-1; PS09/004-2; PS09/010-3; PS09/020-2; PS09/091-6; PS09/115-3; PS09/119-5; PS09/123-5; PS09/126-5; PS09/132-2; PS09/134-3; PS09/136-4; PS09/138-3; PS09/139-3; PS09/140-3; PS09/141-3; PS09/142-4; PS09/143-3; PS09/145-3; PS09/147-3; PS09/148-3; PS09/149-4; PS09/150-1; PS09/151-3; PS09/152-3; PS09/153-3; PS09/154-3; PS09/155-2; PS09 WWSP86 SIBEX; PS12; PS12/266; PS12/298; PS12/305; PS12/308; PS12/314; PS12/323; PS12/333; PS12/342; PS12/344; PS12/346; PS12/348; PS12/354; PS12/362-2; PS12/372; PS12/378; PS12/384; PS12/387; PS12/396; PS12/418; PS12/437; PS12/503; PS12/512-2; PS14/229-1; PS14/235-1; PS14/241-1; PS14/245-1; PS14/248-1; PS14/249-1; PS14/250-11; PS14/250-8; PS14/274-1; PS14/277-1; PS14/292-1; PS14 EPOS I; PS1579-1; PS1589-1; PS1593-1; PS1594-1; PS1597-1; PS1601-1; PS1604-1; PS1608-1; PS1609-1; PS1610-4; PS1611-1; PS1614-1; PS1621-1; PS1624-1; PS1627-1; PS1628-2; PS1629-1; PS1631-1; PS1632-1; PS1641-1; PS18; PS18/127; PS18/129; PS18/135; PS18/162; PS18/165; PS18/171; PS18/173; PS18/175-8; PS18/179-4; PS18/180-5; PS18/189; PS18/212-7; PS18/216; PS18/220-1; PS18/222; PS1995-1; PS1997-2; PS1998-1; PS2016-3; PS2018-1; PS2024-1; PS2026-2; PS2042-2; PS2063-1; PS2068-1; PS39/002-3; PS39/002-4; PS39/002-6; PS39/002-7; PS39/004-9; PS39/005-13; PS39/005-14; PS39/005-15; PS39/005-6; PS39/006-17; PS39/006-19; PS39/006-20; PS39/006-21; PS39/008-4; PS39/008-5; PS39/008-7; PS39/009-10; PS39/009-11; PS39/009-12; PS39/009-6; PS39/009-9; PS39/024-7; PS39/024-8; PS39/025-8; PS39/026-4; PS39 EASIZ; PS48/047; PS48/048; PS48/063; PS48/065-2; PS48/067; PS48/068; PS48/069; PS48/092; PS48/146; PS48/188; PS48/216; PS48/223; PS48/224; PS48/225; PS48/227; PS48/228; PS48/230; PS48/299; PS48/300; PS48/325; PS48/326; PS48/341; PS48/345; PS48 EASIZ II; PS56/090-1; PS56/098-2; PS56/108-1; PS56/112-1; PS56/113-1; PS56/114-1; PS56/120-1; PS56/121-1; PS56/135-6; PS56/137-1; PS56/148-3; PS56/160-2; PS56/161-2; PS56/162-2; PS56/169-1; PS56/176-2; PS56/177-3; PS56/178-1; PS56/179-1; PS56/180-1; PS56/190-2; PS56/190-3; PS56 EASIZ III; PS61/163-1; PS61/176-1; PS61 LAMPOS; PS65/076-1; PS65/077-1; PS65/080-1; PS65/082-1; PS65/084-1; PS65/105-1; PS65/106-1; PS65/116-1; PS65/124-1; PS65/125-1; PS65/183-1; PS65/185-1; PS65/187-1; PS65/197-1; PS65/199-1; PS65/201-1; PS65/202-1; PS65/282-1; PS65/331-1; PS65 BENDEX; PS69; PS69/693-3; PS69/700-1; PS69/701-1; PS69/703-4; PS69/704-1; PS69/706-3; PS69/709-6; PS69/715-3; PS69/718-7; PS69/722-2; PS69/725-4; Scaphopoda as calcium carbonate; Scotia Sea, southwest Atlantic; South Atlantic Ocean; South Pacific Ocean; van Veen Grab; VGRAB; Walther Herwig II; Weddell Sea; Weddell Sea, Larsen-A; Weddell Sea, Larsen-B; WH068/1; WH068/1_089; WH068/1_090; WH068/1_096; WH068/1_100; WH068/1_101; WH068/1_102; WH068/1_106; WH068/1_107; WH068/1_114; WH068/1_116; WH068/1_120; WH068/1_133; WH068/1_137; WH068/1_142; WH068/1_143; WH068/1_148; WH068/1_149; WH068/1_154; WH068/1_155; WH068/1_160; WH068/1_161; WH068/1_165; WH068/1_166; WH068/1_171; WH068/2; WH068/2_266; WH068/2_275; WH068/2_278; WH068/2_287; WH068/2_293; WH068/2_311; WH068/2_312; WH068/2_313; WH068/2_319; WH068/2_320; WH113/1, SIBEX-II; WH113/2, SIBEX-II
    Type: Dataset
    Format: text/tab-separated-values, 3052 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
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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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    Surface Ocean CO2 Atlas (SOCAT) V4 (2016)
    PANGAEA
    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 4 has 18.5 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations with an accuracy of better than 5 µatm from 1957 to 2015 for the global oceans and coastal seas. Automation of data upload and initial data checks speeds up data submission and allows annual releases of SOCAT from version 4 onwards. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT represents a milestone in research coordination, data access, biogeochemical and climate research and in informing policy.
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 1265 datasets
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  • 10
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    The ocean carbon sink estimate in the Global Carbon Budget 2019 (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Gridded monthly 1x1 degree fields of air-sea CO2 flux and surface ocean pCO2 from Global Ocean Biogeochemical Models (GOBMs) and data-products as used in the Global Carbon Budget 2019. These data are available here for the simulation A ('historical run', varying climate and increasing atmospheric CO2 concentration) and simulation B ('control' simulation, constant climate, constant atmospheric CO2) Additionally, global (gcb_flux_global2019+fesom.csv) and three regional time-series (gcb_flux_north2019+fesom.csv, gcb_flux_tropics2019+fesom.csv, gcb_flux_south2019+fesom.csv) of the CO2 flux from the same models and data-products, integrated by the model or data-product providers on their native grid, for simulation A; and globally integrated time-series for simulation B (only models; gcp2019+fesom_flux_global_RunB.csv). All numbers are ocean CO2 flux (PgC/yr). Positive numbers = CO2 flux into the ocean from the atmosphere, each column gives the ocean CO2 flux from one model or pCO2-based data-product.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); File content
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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