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  • 1
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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
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  • 2
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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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  • 3
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    Surface Ocean CO2 Atlas (SOCAT) V1.4 (2013)
    PANGAEA
    In:  Supplement to: Pfeil, Benjamin; Olsen, Are; Bakker, Dorothee C E; Hankin, Steven; Koyuk, Heather; Kozyr, Alexander; Malczyk, Jeremy; Manke, Ansley; Metzl, Nicolas; Sabine, Christopher L; Akl, John; Alin, Simone R; Bellerby, Richard G J; Borges, Alberto Vieira; Boutin, Jacqueline; Brown, Peter J; Cai, Wei-Jun; Chavez, Francisco P; Chen, Arthur; Cosca, Catherine E; Fassbender, Andrea J; Feely, Richard A; González-Dávila, Melchor; Goyet, Catherine; Hardman-Mountford, Nicolas J; Heinze, Christoph; Hood, E Maria; Hoppema, Mario; Hunt, Christopher W; Hydes, David; Ishii, Masao; Johannessen, Truls; Jones, Steve D; Key, Robert M; Körtzinger, Arne; Landschützer, Peter; Lauvset, Siv K; Lefèvre, Nathalie; Lenton, Andrew; Lourantou, Anna; Merlivat, Liliane; Midorikawa, Takashi; Mintrop, Ludger J; Miyazaki, Chihiro; Murata, Akihiko; Nakadate, Akira; Nakano, Yoshiyuki; Nakaoka, Shin-Ichiro; Nojiri, Yukihiro; Omar, Abdirahman M; Padín, Xose Antonio; Park, Geun-Ha; Paterson, Kristina; Pérez, Fiz F; Pierrot, Denis; Poisson, Alain; Ríos, Aida F; Santana-Casiano, Juana Magdalena; Salisbury, Joe; Sarma, Vedula V S S; Schlitzer, Reiner; Schneider, Bernd; Schuster, Ute; Sieger, Rainer; Skjelvan, Ingunn; Steinhoff, Tobias; Suzuki, Toru; Takahashi, Taro; Tedesco, Kathy; Telszewski, Maciej; Thomas, Helmuth; Tilbrook, Bronte; Tjiputra, Jerry; Vandemark, Doug; Veness, Tony; Wanninkhof, Rik; Watson, Andrew J; Weiss, Ray F; Wong, Chi Shing; Yoshikawa-Inoue, Hisayuki (2013): A uniform, quality controlled Surface Ocean CO2 Atlas (SOCAT). Earth System Science Data, 5(1), 125-143, https://doi.org/10.5194/essd-5-125-2013
    Details
    Publication Date: 2024-05-02
    Description: A well-documented, publicly available, global data set of surface ocean carbon dioxide (CO2) parameters has been called for by international groups for nearly two decades. The Surface Ocean CO2 Atlas (SOCAT) project was initiated by the international marine carbon science community in 2007 with the aim of providing a comprehensive, publicly available, regularly updated, global data set of marine surface CO2, which had been subject to quality control (QC). Many additional CO2 data, not yet made public via the Carbon Dioxide Information Analysis Center (CDIAC), were retrieved from data originators, public websites and other data centres. All data were put in a uniform format following a strict protocol. Quality control was carried out according to clearly defined criteria. Regional specialists performed the quality control, using state-of-the-art web-based tools, specially developed for accomplishing this global team effort. SOCAT version 1.5 was made public in September 2011 and holds 6.3 million quality controlled surface CO2 data points from the global oceans and coastal seas, spanning four decades (1968-2007). Three types of data products are available: individual cruise files, a merged complete data set and gridded products. With the rapid expansion of marine CO2 data collection and the importance of quantifying net global oceanic CO2 uptake and its changes, sustained data synthesis and data access are priorities.
    Keywords: 0306SFC_PRT; 061ASFC_PRT; 06AQ19860627-track; 06AQ19860928-track; 06AQ19911114-track; 06AQ19911210-track; 06AQ19921005-track; 06AQ19930128-track; 06AQ19930228-track; 06AQ19931019-track; 06AQ19940524-track; 06AQ19951206-track; 06AQ19960320-track; 06AQ19980411-track; 06AQ19990327-track; 06AQ20001004-track; 06AQ20001026-track; 06BE19961010-track; 06CK20060523-track; 06CK20060715-track; 06CK20060821-track; 06GA19960613-track; 06GA276_3; 06LB19831130-track; 06LB19840107-track; 06LB19840629-track; 06LB19850110-track; 06LB19850313-track; 06LB19850812-track; 06LB19860116-track; 06LB19860323-track; 06LB19860801-track; 06LB19861011-track; 06LB19861214-track; 06LB19870221-track; 06LB19870501-track; 06LB19870721-track; 06LB19870920-track; 06LB19871126-track; 06LB19871231-track; 06LB19880204-track; 06MT18_1; 06MT19910903-track; 06MT19920510-track; 06MT19921229-track; 06MT19941012-track; 06MT19941119-track; 06MT19950714-track; 06MT19960607-track; 06MT19960622-track; 06MT19970106-track; 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18QA19760111-track; 18QA19760619-track; 18QA19760911-track; 18QA19761204-track; 18VC19740105-track; 18VC19740216-track; 18VC19741113-track; 18VC19750622-track; 18VC19750913-track; 1995-10-BS; 1996-02-BS; 1997-05-BS; 1999-07-BS; 1999-11-BS; 1999-12-BS; 2000-01-BS; 2000-02-BS; 2000-03-BS; 2001-05-BS; 2001-06-BS; 2001-07-BS; 2001-08-BS; 2003-06-BS; 2003-07-BS; 2003-08-BS; 2003-09-BS; 2003-10-BS; 2004-02-BS; 2004-03-BS; 2004-04-BS; 2004-05-BS; 2004-06-BS; 2004-07-BS; 2004-08-BS; 2004-09-BS; 2004-10-BS; 2005-01-BS; 2005-02-BS; 2005-03-BS; 2005-04-BS; 2005-05-BS; 2005-06-BS; 2005-07-BS; 2005-08-BS; 2005-09-BS; 2005-10-BS; 2005-11-BS; 2005-12-BS; 2006-03-BS; 2006-04-BS; 2006-05-BS; 2006-06-BS; 2006-07-BS; 2006-08-BS; 2006-09-BS; 20070110_TC2; 20070117_TC2; 20070123_TC2; 20070130_TC2; 20070207_TC2; 20070219_TC2; 20070227_TC2; 20070305_TC2; 20070320_TC2; 20070327_TC2; 20070402_TC2; 20070409_TC2; 20070416_TC2; 20070423_TC2; 20070430_TC2; 20070508_TC2; 20070515_TC2; 20070521_TC2; 20070529_TC2; 20070604_TC2; 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26NA20061214-track; 26NA20061225; 26NA20061225-track; 26NA20070103; 26NA20070103-track; 26NA20070112; 26NA20070112-track; 26NA20070125; 26NA20070125-track; 26NA20070205; 26NA20070205-track; 26NA20070216; 26NA20070216-track; 26NA20070323; 26NA20070323-track; 26NA20070329; 26NA20070329-track; 26NA20070410; 26NA20070410-track; 26NA20070418; 26NA20070418-track; 26NA20070427; 26NA20070427-track; 26NA20070509; 26NA20070509-track; 26NA20070518; 26NA20070518-track; 26NA20070530; 26NA20070530-track; 26NA20070610; 26NA20070610-track; 26NA20070622; 26NA20070622-track; 26NA20070701; 26NA20070701-track; 26NA20070712; 26NA20070712-track; 26NA20070721; 26NA20070721-track; 26NA20070802; 26NA20070802-track; 26NA20070811; 26NA20070811-track; 26NA20070901; 26NA20070901-track; 26NA20070912; 26NA20070912-track; 26NA20070923; 26NA20070923-track; 26NA20071003; 26NA20071003-track; 26NA20071014; 26NA20071014-track; 26NA20071024; 26NA20071024-track; 26NA20071103; 26NA20071103-track; 26NA20071114; 26NA20071114-track; 26NA20071124; 26NA20071124-track; 29HE050; 29HE19980729-track; 29HE20001028; 29HE20001028-track; 29HE20010306; 29HE20010306-track; 29HE20011027; 29HE20011027-track; 29HE20020305; 29HE20020305-track; 29HE20021028; 29HE20021028-track; 29HE20030409; 29HE20030409-track; 29HE20041021; 29HE20041021-track; 316N0154; 316N19810401-track; 316N19810416-track; 316N19810516-track; 316N19810619-track; 316N19810721-track; 316N19810821-track; 316N19810923-track; 316N19821202-track; 316N19821230-track; 316N19830130-track; 316N19831007-track; 316N19840111-track; 316N19871030-track; 316N19871123-track; 316N19871218-track; 316N19880128-track; 316N19940404-track; 316N19941201-track; 316N19950124-track; 316N19950310-track; 316N19950423-track; 316N19950611-track; 316N19950715-track; 316N19950829-track; 316N19951111-track; 316N19951205-track; 316N19961102-track; 316N19971005-track; 318M19780921-track; 318M19780928-track; 318M19790210-track; 318M19790308-track;
    Type: Dataset
    Format: application/zip, 1851 datasets
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  • 4
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    Atlantic hurricane surge response to geoengineering (2015)
    National Academy of Sciences
    Details
    Publication Date: 2015-10-26
    Description: Devastating floods due to Atlantic hurricanes are relatively rare events. However, the frequency of the most intense storms is likely to increase with rises in sea surface temperatures. Geoengineering by stratospheric sulfate aerosol injection cools the tropics relative to the polar regions, including the hurricane Main Development Region in the Atlantic, suggesting that geoengineering may mitigate hurricanes. We examine this hypothesis using eight earth system model simulations of climate under the Geoengineering Model Intercomparison Project (GeoMIP) G3 and G4 schemes that use stratospheric aerosols to reduce the radiative forcing under the Representative Concentration Pathway (RCP) 4.5 scenario. Global mean temperature increases are greatly ameliorated by geoengineering, and tropical temperature increases are at most half of those temperature increases in the RCP4.5. However, sulfate injection would have to double (to nearly 10 teragrams of SO2 per year) between 2020 and 2070 to balance the RCP4.5, approximately the equivalent of a 1991 Pinatubo eruption every 2 y, with consequent implications for stratospheric ozone. We project changes in storm frequencies using a temperature-dependent generalized extreme value statistical model calibrated by historical storm surges and observed temperatures since 1923. The number of storm surge events as big as the one caused by the 2005 Katrina hurricane are reduced by about 50% compared with no geoengineering, but this reduction is only marginally statistically significant. Nevertheless, when sea level rise differences in 2070 between the RCP4.5 and geoengineering are factored into coastal flood risk, we find that expected flood levels are reduced by about 40 cm for 5-y events and about halved for 50-y surges.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 5
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    Decadal trends in the ocean carbon sink (2019)
    National Academy of Sciences
    Details
    Publication Date: 2019-05-28
    Description: Measurements show large decadal variability in the rate of CO2 accumulation in the atmosphere that is not driven by CO2 emissions. The decade of the 1990s experienced enhanced carbon accumulation in the atmosphere relative to emissions, while in the 2000s, the atmospheric growth rate slowed, even though emissions grew rapidly. These variations are driven by natural sources and sinks of CO2 due to the ocean and the terrestrial biosphere. In this study, we compare three independent methods for estimating oceanic CO2 uptake and find that the ocean carbon sink could be responsible for up to 40% of the observed decadal variability in atmospheric CO2 accumulation. Data-based estimates of the ocean carbon sink from pCO2 mapping methods and decadal ocean inverse models generally agree on the magnitude and sign of decadal variability in the ocean CO2 sink at both global and regional scales. Simulations with ocean biogeochemical models confirm that climate variability drove the observed decadal trends in ocean CO2 uptake, but also demonstrate that the sensitivity of ocean CO2 uptake to climate variability may be too weak in models. Furthermore, all estimates point toward coherent decadal variability in the oceanic and terrestrial CO2 sinks, and this variability is not well-matched by current global vegetation models. Reconciling these differences will help to constrain the sensitivity of oceanic and terrestrial CO2 uptake to climate variability and lead to improved climate projections and decadal climate predictions.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 6
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    Seasonal variability of aragonite saturation state in the Western Pacific (2014)
    Elsevier
    Details
    Publication Date: 2014-04-01
    Print ISSN: 0304-4203
    Electronic ISSN: 1872-7581
    Topics: Geosciences
    Published by Elsevier
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  • 7
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    Twenty-first century ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary production decline from CMIP6 model projections (2020)
    Copernicus
    Details
    Publication Date: 2020-07-06
    Description: Anthropogenic climate change is projected to lead to ocean warming, acidification, deoxygenation, reductions in near-surface nutrients, and changes to primary production, all of which are expected to affect marine ecosystems. Here we assess projections of these drivers of environmental change over the twenty-first century from Earth system models (ESMs) participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) that were forced under the CMIP6 Shared Socioeconomic Pathways (SSPs). Projections are compared to those from the previous generation (CMIP5) forced under the Representative Concentration Pathways (RCPs). A total of 10 CMIP5 and 13 CMIP6 models are used in the two multi-model ensembles. Under the high-emission scenario SSP5-8.5, the multi-model global mean change (2080–2099 mean values relative to 1870–1899) ± the inter-model SD in sea surface temperature, surface pH, subsurface (100–600 m) oxygen concentration, euphotic (0–100 m) nitrate concentration, and depth-integrated primary production is +3.47±0.78 ∘C, -0.44±0.005, -13.27±5.28, -1.06±0.45 mmol m−3 and -2.99±9.11 %, respectively. Under the low-emission, high-mitigation scenario SSP1-2.6, the corresponding global changes are +1.42±0.32 ∘C, -0.16±0.002, -6.36±2.92, -0.52±0.23 mmol m−3, and -0.56±4.12 %. Projected exposure of the marine ecosystem to these drivers of ocean change depends largely on the extent of future emissions, consistent with previous studies. The ESMs in CMIP6 generally project greater warming, acidification, deoxygenation, and nitrate reductions but lesser primary production declines than those from CMIP5 under comparable radiative forcing. The increased projected ocean warming results from a general increase in the climate sensitivity of CMIP6 models relative to those of CMIP5. This enhanced warming increases upper-ocean stratification in CMIP6 projections, which contributes to greater reductions in upper-ocean nitrate and subsurface oxygen ventilation. The greater surface acidification in CMIP6 is primarily a consequence of the SSPs having higher associated atmospheric CO2 concentrations than their RCP analogues for the same radiative forcing. We find no consistent reduction in inter-model uncertainties, and even an increase in net primary production inter-model uncertainties in CMIP6, as compared to CMIP5.
    Print ISSN: 1726-4170
    Electronic ISSN: 1726-4189
    Topics: Biology , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 8
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    The Biogeochemical Structure of Southern Ocean Mesoscale Eddies (2020)
    American Geophysical Union
    Details
    Publication Date: 2020-08-01
    Print ISSN: 2169-9275
    Electronic ISSN: 2169-9291
    Topics: Geosciences , Physics
    Published by American Geophysical Union
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  • 9
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    Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models (2020)
    Copernicus
    Details
    Publication Date: 2020-08-18
    Description: Results from the fully and biogeochemically coupled simulations in which CO2 increases at a rate of 1 % yr−1 (1pctCO2) from its preindustrial value are analyzed to quantify the magnitude of carbon–concentration and carbon–climate feedback parameters which measure the response of ocean and terrestrial carbon pools to changes in atmospheric CO2 concentration and the resulting change in global climate, respectively. The results are based on 11 comprehensive Earth system models from the most recent (sixth) Coupled Model Intercomparison Project (CMIP6) and compared with eight models from the fifth CMIP (CMIP5). The strength of the carbon–concentration feedback is of comparable magnitudes over land (mean ± standard deviation = 0.97 ± 0.40 PgC ppm−1) and ocean (0.79 ± 0.07 PgC ppm−1), while the carbon–climate feedback over land (−45.1 ± 50.6 PgC ∘C−1) is about 3 times larger than over ocean (−17.2 ± 5.0 PgC ∘C−1). The strength of both feedbacks is an order of magnitude more uncertain over land than over ocean as has been seen in existing studies. These values and their spread from 11 CMIP6 models have not changed significantly compared to CMIP5 models. The absolute values of feedback parameters are lower for land with models that include a representation of nitrogen cycle. The transient climate response to cumulative emissions (TCRE) from the 11 CMIP6 models considered here is 1.77 ± 0.37 ∘C EgC−1 and is similar to that found in CMIP5 models (1.63 ± 0.48 ∘C EgC−1) but with somewhat reduced model spread. The expressions for feedback parameters based on the fully and biogeochemically coupled configurations of the 1pctCO2 simulation are simplified when the small temperature change in the biogeochemically coupled simulation is ignored. Decomposition of the terms of these simplified expressions for the feedback parameters is used to gain insight into the reasons for differing responses among ocean and land carbon cycle models.
    Print ISSN: 1726-4170
    Electronic ISSN: 1726-4189
    Topics: Biology , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 10
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    Consistency and Challenges in the Ocean Carbon Sink Estimate for the Global Carbon Budget (2020)
    Frontiers Media
    Details
    Publication Date: 2020-10-27
    Electronic ISSN: 2296-7745
    Topics: Biology
    Published by Frontiers Media
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