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Research data keyboard_double_arrow_right Dataset 2022Embargo end date: 01 Jul 2022 EnglishPublisher:Interdisciplinary Earth Data Alliance (IEDA) Funded by:NSF | Collaborative Research: I..., SNSF | Clumped Isotope Thermomet..., EC | OldCO2NewArchives +11 projectsNSF| Collaborative Research: Improving and calibrating a Tunable Infrared Laser Direct Absorption Spectroscopy (TILDAS) system for clumped isotope analysis of CO2 ,SNSF| Clumped Isotope Thermometry in burial diagenetic systems - part 2: new constraints on the kinetics of 13C-18O bond reordering from contact metamorphic aureoles of magmatic intrusions ,EC| OldCO2NewArchives ,NSF| Collaborative Research: The Record of Early Cretaceous Growth of the Nevadaplano From Syn-orogenic Deposits of the Sevier Hinterland ,SNSF| Application of Clumped Isotope Thermometry to burial diagenetic and low temperature hydrothermal systems. ,EC| SPADE ,EC| ICE2ICE ,NSF| Collaborative Research: Time of Transformation: integrating the dynamic geologic, climatic and biotic systems of North America during the Early to Late Cretaceous transition ,NSF| Early Career: Acquisition of a Mass Spectrometer for Research and Education in Tectonics and Paleoclimate ,SNSF| Buffer-Capacity-based Livelihood Resilience to Stressors - an Early Warning Tool and its Application in Makueni County, Kenya ,EC| C4T ,NSF| EAGER: Reducing uncertainty in clumped isotope thermometry by evaluating the effect of 17O excess ,NSF| EAR-PF: Clumped and Triple Oxygen Isotopes of Terrestrial Carbonates: New Tools to Estimate Aridity and Precipitation in California During Past Greenhouse Climates ,NWO| Cenozoic ice sheets and global warming: Insights from clumped isotopesMeckler, Anna Nele; Sexton, Philip F; Piasecki, Alison; Leutert, Thomas Jan; Marquardt, Johanna; Ziegler, Martin; Agterhuis, Tobias; Lourens, Lucas Joost; Rae, James W B; Barnet, James; Tripati, Aradhna; Bernasconi, Stefano M;The data file contains information on each sample (Site, core, depth, age) and the measurements (replicate number, laboratory) in addition to the isotope data. For clumped isotopes (D47), mean values and standard errors are given (on the I-CDES scale, see Bernasconi et al., G3, 2021) as well as temperatures calculated using the foraminifera-based calibration of Meinicke et al. (GCA, 2020), updated to the I-CDES scale by Meinicke et al. (Paleoceanography and Paleoclimatology, 2021). Furthermore, genus-specific d18O and d13C values are reported for Cibicidoides and Nuttalides where available, as well as the calculated isotopic composition of seawater based on the d18O values from Cibicidoides spp., the D47 temperatures, and the calibration of Marchitto et al. (GCA, 2014). d18O of Cibicidoides and resulting seawater d18O are also reported after correction for a hypothetical pH effect using a linear trend through reconstructed deep ocean pH based on d11B and the theoretical pH effect of 1.42 ‰ per pH unit from Zeebe (Paleo3, 2001). This dataset contains clumped isotope (D47), d18O and d13C data from benthic foraminifera from four IODP sites from the Newfoundland margin. The D47 data were used to reconstruct deep ocean temperature across the Cenozoic era. The reported data were generated at ETH Zürich and the University of Bergen between 2015 and 2020. Data for this study were mostly obtained from core catcher samples, with an average time resolution of 1.2 million years. For each sample, 13-45 replicate measurements were performed on different species of benthic foraminifera. Data in this dataset are sample-averaged isotope and temperature data. In addition, replicate-level raw data including standard data for correction are stored at Earthchem (doi:10.26022/IEDA/112213) to allow for reprocessing of the data.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2022License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2015 France, France, France, Switzerland, Germany, France, France, France, Norway, France, Germany, Spain, United States, Netherlands, United Kingdom, United Kingdom, Germany, United KingdomPublisher:Copernicus GmbH Publicly fundedFunded by:NSF | Collaborative Research: I..., NWO | The distribution and evol..., EC | QUINCY +12 projectsNSF| Collaborative Research: Improved Regional and Decadal Predictions of the Carbon Cycle ,NWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,EC| QUINCY ,EC| LUC4C ,EC| AtlantOS ,NWO| Looking back to the future: improving historical land use reconstructions for better understanding of the global carbon cycle. ,EC| SMART-LIC ,NSF| Collaborative Research: High-Resolution Underway Air-Sea Observations in Drake Passage for Climate Science ,EC| IMBALANCE-P ,SNSF| Ecosystem impacts of climatic extremes versus gradual environmental change ,NSF| COLLABORATIVE RESEARCH: Understanding trends and biogeochemical controls of Southern Ocean air-sea CO2 fluxes from ocean and atmospheric measurements in the Drake Passage ,UKRI| RAGNARoCC: Radiatively active gases from the North Atlantic Region and Climate Change ,EC| DE-CO2 ,EC| CARBOCHANGE ,EC| EMBRACEC. Le Quéré; R. Moriarty; Robbie M. Andrew; Josep G. Canadell; Stephen Sitch; Jan Ivar Korsbakken; Pierre Friedlingstein; Glen P. Peters; Robert J. Andres; Thomas A. Boden; Richard A. Houghton; Joanna Isobel House; Ralph F. Keeling; Pieter P. Tans; Almut Arneth; Dorothee C. E. Bakker; Leticia Barbero; Laurent Bopp; Jinfeng Chang; Frédéric Chevallier; Louise Chini; Philippe Ciais; Marianela Fader; Richard A. Feely; Thanos Gkritzalis; Ian Harris; Judith Hauck; Tatiana Ilyina; Atul K. Jain; Etsushi Kato; Vassilis Kitidis; Kees Klein Goldewijk; Charles D. Koven; Peter Landschützer; Siv K. Lauvset; Nathalie Lefèvre; Andrew Lenton; Ivan D. Lima; Nicolas Metzl; Frank J. Millero; David R. Munro; Aki Murata; Julia E. M. S. Nabel; S. Nakaoka; Yukihiro Nojiri; Karen O'Brien; Are Olsen; T. Ono; Fiz F. Pérez; Benjamin Pfeil; Denis Pierrot; Benjamin Poulter; Gregor Rehder; Christian Rödenbeck; S. Saito; Ute Schuster; Jörg Schwinger; Roland Séférian; Tobias Steinhoff; Benjamin D. Stocker; Adrienne J. Sutton; Taro Takahashi; Bronte Tilbrook; I. T. van der Laan-Luijkx; G. R. van der Werf; S. van Heuven; Douglas Vandemark; Nicolas Viovy; Andy Wiltshire; Sönke Zaehle; Ning Zeng;handle: 1871.1/f95ca2d7-5bd9-4f46-9c28-2d3b260be879 , 1983/89b73248-0547-423b-a44d-dd79a206a708 , 11858/00-001M-0000-0029-2A5A-1 , 11858/00-001M-0000-0029-2A62-D , 1956/12482 , 1874/325207 , 11858/00-001M-0000-0029-21C7-6 , 11858/00-001M-0000-0029-4525-3 , 11858/00-001M-0000-0029-4524-5 , 20.500.11850/108126 , 10261/305209
handle: 1871.1/f95ca2d7-5bd9-4f46-9c28-2d3b260be879 , 1983/89b73248-0547-423b-a44d-dd79a206a708 , 11858/00-001M-0000-0029-2A5A-1 , 11858/00-001M-0000-0029-2A62-D , 1956/12482 , 1874/325207 , 11858/00-001M-0000-0029-21C7-6 , 11858/00-001M-0000-0029-4525-3 , 11858/00-001M-0000-0029-4524-5 , 20.500.11850/108126 , 10261/305209
NERC provided funding to C. Le Quéré, R. Moriarty, and the GCP through their International Opportunities Fund specifically to support this publication (NE/103002X/1). G. P. Peters and R. M. Andrew were supported by the Norwegian Research Council (236296). J. G. Canadell was supported by the Australian Climate Change Science Programme. S. Sitch was supported by EU FP7 for funding through projects LUC4C (GA603542). R. J. Andres was supported by US Department of Energy, Office of Science, Biological and Environmental Research (BER) programmes under US Department of Energy contract DE-AC05- 00OR22725. T. A. Boden was supported by US Department of Energy, Office of Science, Biological and Environmental Research (BER) programmes under US Department of Energy contract DE-AC05-00OR22725.J. I. House was supported by the Leverhulme foundation and the EU FP7 through project LUC4C (GA603542). P. Friedlingstein was supported by the EU FP7 for funding through projects LUC4C (GA603542) and EMBRACE (GA282672). A. Arneth was supported by the EU FP7 for funding through LUC4C (603542), and the Helmholtz foundation and its ATMO programme. D. C. E. Bakker was supported by the EU FP7 for funding through project CARBOCHANGE (284879), the UK Ocean Acidification Research Programme (NE/H017046/1; funded by the Natural Environment Research Council, the Department for Energy and Climate Change and the Department for Environment, Food and Rural Affairs). L. Barbero was supported by NOAA’s Ocean Acidification Program and acknowledges support for this work from the National Aeronautics and Space Administration (NASA) ROSES Carbon Cycle Science under NASA grant 13-CARBON13_2-0080. P. Ciais acknowledges support from the European Research Council through Synergy grant ERC-2013-SyG-610028 “IMBALANCE-P”. M. Fader was supported by the EU FP7 for funding through project LUC4C (GA603542). J. Hauck was supported by the Helmholtz Postdoc Programme (Initiative and Networking Fund of the Helmholtz Association). R. A. Feely and A. J. Sutton were supported by the Climate Observation Division, Climate Program Office, NOAA, US Department of Commerce. A. K. Jain was supported by the US National Science Foundation (NSF AGS 12-43071) the US Department of Energy, Office of Science and BER programmes (DOE DE-SC0006706) and NASA LCLUC programme (NASA NNX14AD94G). E. Kato was supported by the ERTDF (S-10) from the Ministry of Environment, Japan. K. Klein Goldewijk was supported by the Dutch NWO VENI grant no. 863.14.022. S. K. Lauvset was supported by the project “Monitoring ocean acidification in Norwegian waters” from the Norwegian Ministry of Climate and Environment. V. Kitidis was supported by the EU FP7 for funding through project CARBOCHANGE (264879). C. Koven was supported by the Director, Office of Science, Office of Biological and Environmental Research of the US Department of Energy under contract no. DE-AC02-05CH11231 as part of their Regional and Global Climate Modeling Program. P. Landschützer was supported by GEOCarbon. I. T. van der Lann-Luijkx received financial support from OCW/NWO for ICOS-NL and computing time from NWO (SH-060-13). I. D. Lima was supported by the US National Science Foundation (NSF AGS-1048827). N. Metzl was supported by Institut National des Sciences de l’Univers (INSU) and Institut Paul Emile Victor (IPEV) for OISO cruises. D. R. Munro was supported by the US National Science Foundation (NSF PLR-1341647 and NSF AOAS-0944761). J. E. M. S. Nabel was supported by the German Research Foundation’s Emmy Noether Programme (PO1751/1-1) and acknowledges Julia Pongratz and Kim Naudts for their contributions. Y. Nojiri and S. Nakaoka were supported by the Global Environment Research Account for National Institutes (1432) by the Ministry of Environment of Japan. A. Olsen appreciates support from the Norwegian Research Council (SNACS, 229752). F. F. Pérez were supported by BOCATS (CTM2013-41048-P) project co-founded by the Spanish government and the Fondo Europeo de Desarrollo Regional (FEDER). B. Pfeil was supported through the European Union’s Horizon 2020 research and innovation programme AtlantOS under grant agreement no. 633211. D. Pierrot was supported by NOAA through the Climate Observation Division of the Climate Program Office. B. Poulter was supported by the EU FP7 for funding through GEOCarbon. G. Rehder was supported by BMBF (Bundesministerium für Bildung und Forschung) through project ICOS, grant no. 01LK1224D. U. Schuster was supported by NERC UKOARP (NE/H017046/1), NERC RAGANRoCC (NE/K002473/1), the European Space Agency (ESA) OceanFlux Evolution project, and EU FP7 CARBOCHANGE (264879). T. Steinhoff was supported by ICOS-D (BMBF FK 01LK1101C) and EU FP7 for funding through project CARBOCHANGE (264879). J. Schwinger was supported by the Research Council of Norway through project EVA (229771). T. Takahashi was supported by grants from NOAA and the Comer Education and Science Foundation. B. Tilbrook was supported by the Australian Department of Environment and the Integrated Marine Observing System. B. D. Stocker was supported by the Swiss National Science Foundation and FP7 funding through project EMBRACE (282672). S. van Heuven was supported by the EU FP7 for funding through project CARBOCHANGE (264879). G. R. van der Werf was supported by the European Research Council (280061). A. Wiltshire was supported by the Joint UK DECC/Defra Met Office Hadley Centre Climate Programme (GA01101) and EU FP7 Funding through project LUC4C (603542). S. Zaehle was supported by the European Research Council (ERC) under the Eu ropean Union’s Horizon 2020 research and innovation programme (QUINCY; grant agreement no. 647204). ISAM (PI: Atul K. Jain) simulations were carried out at the National Energy Research Scientific Computing Center (NERSC), which is supported by the US DOE under contract DE-AC02-05CH11231. Contributions from the Scripps Institution of Oceanography were supported under DoE grant DE-SC0012167 and by Schmidt Philanthropies. This is NOAA-PMEL contribution number 4400 Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates as well as consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover-change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models forced by observed climate, CO2, and land-cover change (some including nitrogen–carbon interactions). We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2005–2014), EFF was 9.0 ± 0.5 GtC yr−1, ELUC was 0.9 ± 0.5 GtC yr−1, GATM was 4.4 ± 0.1 GtC yr−1, SOCEAN was 2.6 ± 0.5 GtC yr−1, and SLAND was 3.0 ± 0.8 GtC yr−1. For the year 2014 alone, EFF grew to 9.8 ± 0.5 GtC yr−1, 0.6 % above 2013, continuing the growth trend in these emissions, albeit at a slower rate compared to the average growth of 2.2 % yr−1 that took place during 2005–2014. Also, for 2014, ELUC was 1.1 ± 0.5 GtC yr−1, GATM was 3.9 ± 0.2 GtC yr−1, SOCEAN was 2.9 ± 0.5 GtC yr−1, and SLAND was 4.1 ± 0.9 GtC yr−1. GATM was lower in 2014 compared to the past decade (2005–2014), reflecting a larger SLAND for that year. The global atmospheric CO2 concentration reached 397.15 ± 0.10 ppm averaged over 2014. For 2015, preliminary data indicate that the growth in EFF will be near or slightly below zero, with a projection of −0.6 [range of −1.6 to +0.5] %, based on national emissions projections for China and the USA, and projections of gross domestic product corrected for recent changes in the carbon intensity of the global economy for the rest of the world. From this projection of EFF and assumed constant ELUC for 2015, cumulative emissions of CO2 will reach about 555 ± 55 GtC (2035 ± 205 GtCO2) for 1870–2015, about 75 % from EFF and 25 % from ELUC. This living data update documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this data set (Le Quéré et al., 2015, 2014, 2013). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_2015). 48 pages, 9 figures, 10 tables.-- Proyecto Carbochange Peer reviewed
NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2015License: CC BYFull-Text: https://edepot.wur.nl/379938University of East Anglia digital repositoryArticle . 2015 . Peer-reviewedData sources: University of East Anglia digital repositoryEarth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2015 . Peer-reviewedLicense: CC BYSpiral - Imperial College Digital RepositoryArticle . 2015Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2015 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBeScholarship - University of CaliforniaArticle . 2015Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2015Data sources: eScholarship - University of CaliforniaElectronic Publication Information CenterArticle . 2015Data sources: Electronic Publication Information CenterNIOZ Repository; Open Marine ArchiveArticle . 2015ArchiMer - Institutional Archive of IfremerOther literature type . 2015Data sources: ArchiMer - Institutional Archive of IfremerRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2015 . 2023 . Peer-reviewedHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEA; HAL-IRD; HAL-UPMCArticle . 2015License: CC BYFull-Text: https://hal.science/hal-01245527/documenthttps://doi.org/doi:10.5194/es...Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 566 citations 566 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!visibility 114visibility views 114 download downloads 1,047 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2015License: CC BYFull-Text: https://edepot.wur.nl/379938University of East Anglia digital repositoryArticle . 2015 . Peer-reviewedData sources: University of East Anglia digital repositoryEarth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2015 . Peer-reviewedLicense: CC BYSpiral - Imperial College Digital RepositoryArticle . 2015Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2015 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBeScholarship - University of CaliforniaArticle . 2015Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2015Data sources: eScholarship - University of CaliforniaElectronic Publication Information CenterArticle . 2015Data sources: Electronic Publication Information CenterNIOZ Repository; Open Marine ArchiveArticle . 2015ArchiMer - Institutional Archive of IfremerOther literature type . 2015Data sources: ArchiMer - Institutional Archive of IfremerRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2015 . 2023 . Peer-reviewedHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEA; HAL-IRD; HAL-UPMCArticle . 2015License: CC BYFull-Text: https://hal.science/hal-01245527/documenthttps://doi.org/doi:10.5194/es...Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Dataset 2022Embargo end date: 01 Jul 2022 EnglishPublisher:Interdisciplinary Earth Data Alliance (IEDA) Funded by:NSF | Collaborative Research: I..., SNSF | Clumped Isotope Thermomet..., EC | OldCO2NewArchives +11 projectsNSF| Collaborative Research: Improving and calibrating a Tunable Infrared Laser Direct Absorption Spectroscopy (TILDAS) system for clumped isotope analysis of CO2 ,SNSF| Clumped Isotope Thermometry in burial diagenetic systems - part 2: new constraints on the kinetics of 13C-18O bond reordering from contact metamorphic aureoles of magmatic intrusions ,EC| OldCO2NewArchives ,NSF| Collaborative Research: The Record of Early Cretaceous Growth of the Nevadaplano From Syn-orogenic Deposits of the Sevier Hinterland ,SNSF| Application of Clumped Isotope Thermometry to burial diagenetic and low temperature hydrothermal systems. ,EC| SPADE ,EC| ICE2ICE ,NSF| Collaborative Research: Time of Transformation: integrating the dynamic geologic, climatic and biotic systems of North America during the Early to Late Cretaceous transition ,NSF| Early Career: Acquisition of a Mass Spectrometer for Research and Education in Tectonics and Paleoclimate ,SNSF| Buffer-Capacity-based Livelihood Resilience to Stressors - an Early Warning Tool and its Application in Makueni County, Kenya ,EC| C4T ,NSF| EAGER: Reducing uncertainty in clumped isotope thermometry by evaluating the effect of 17O excess ,NSF| EAR-PF: Clumped and Triple Oxygen Isotopes of Terrestrial Carbonates: New Tools to Estimate Aridity and Precipitation in California During Past Greenhouse Climates ,NWO| Cenozoic ice sheets and global warming: Insights from clumped isotopesMeckler, Anna Nele; Sexton, Philip F; Piasecki, Alison; Leutert, Thomas Jan; Marquardt, Johanna; Ziegler, Martin; Agterhuis, Tobias; Lourens, Lucas Joost; Rae, James W B; Barnet, James; Tripati, Aradhna; Bernasconi, Stefano M;The data file contains information on each sample (Site, core, depth, age) and the measurements (replicate number, laboratory) in addition to the isotope data. For clumped isotopes (D47), mean values and standard errors are given (on the I-CDES scale, see Bernasconi et al., G3, 2021) as well as temperatures calculated using the foraminifera-based calibration of Meinicke et al. (GCA, 2020), updated to the I-CDES scale by Meinicke et al. (Paleoceanography and Paleoclimatology, 2021). Furthermore, genus-specific d18O and d13C values are reported for Cibicidoides and Nuttalides where available, as well as the calculated isotopic composition of seawater based on the d18O values from Cibicidoides spp., the D47 temperatures, and the calibration of Marchitto et al. (GCA, 2014). d18O of Cibicidoides and resulting seawater d18O are also reported after correction for a hypothetical pH effect using a linear trend through reconstructed deep ocean pH based on d11B and the theoretical pH effect of 1.42 ‰ per pH unit from Zeebe (Paleo3, 2001). This dataset contains clumped isotope (D47), d18O and d13C data from benthic foraminifera from four IODP sites from the Newfoundland margin. The D47 data were used to reconstruct deep ocean temperature across the Cenozoic era. The reported data were generated at ETH Zürich and the University of Bergen between 2015 and 2020. Data for this study were mostly obtained from core catcher samples, with an average time resolution of 1.2 million years. For each sample, 13-45 replicate measurements were performed on different species of benthic foraminifera. Data in this dataset are sample-averaged isotope and temperature data. In addition, replicate-level raw data including standard data for correction are stored at Earthchem (doi:10.26022/IEDA/112213) to allow for reprocessing of the data.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2022License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2015 France, France, France, Switzerland, Germany, France, France, France, Norway, France, Germany, Spain, United States, Netherlands, United Kingdom, United Kingdom, Germany, United KingdomPublisher:Copernicus GmbH Publicly fundedFunded by:NSF | Collaborative Research: I..., NWO | The distribution and evol..., EC | QUINCY +12 projectsNSF| Collaborative Research: Improved Regional and Decadal Predictions of the Carbon Cycle ,NWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,EC| QUINCY ,EC| LUC4C ,EC| AtlantOS ,NWO| Looking back to the future: improving historical land use reconstructions for better understanding of the global carbon cycle. ,EC| SMART-LIC ,NSF| Collaborative Research: High-Resolution Underway Air-Sea Observations in Drake Passage for Climate Science ,EC| IMBALANCE-P ,SNSF| Ecosystem impacts of climatic extremes versus gradual environmental change ,NSF| COLLABORATIVE RESEARCH: Understanding trends and biogeochemical controls of Southern Ocean air-sea CO2 fluxes from ocean and atmospheric measurements in the Drake Passage ,UKRI| RAGNARoCC: Radiatively active gases from the North Atlantic Region and Climate Change ,EC| DE-CO2 ,EC| CARBOCHANGE ,EC| EMBRACEC. Le Quéré; R. Moriarty; Robbie M. Andrew; Josep G. Canadell; Stephen Sitch; Jan Ivar Korsbakken; Pierre Friedlingstein; Glen P. Peters; Robert J. Andres; Thomas A. Boden; Richard A. Houghton; Joanna Isobel House; Ralph F. Keeling; Pieter P. Tans; Almut Arneth; Dorothee C. E. Bakker; Leticia Barbero; Laurent Bopp; Jinfeng Chang; Frédéric Chevallier; Louise Chini; Philippe Ciais; Marianela Fader; Richard A. Feely; Thanos Gkritzalis; Ian Harris; Judith Hauck; Tatiana Ilyina; Atul K. Jain; Etsushi Kato; Vassilis Kitidis; Kees Klein Goldewijk; Charles D. Koven; Peter Landschützer; Siv K. Lauvset; Nathalie Lefèvre; Andrew Lenton; Ivan D. Lima; Nicolas Metzl; Frank J. Millero; David R. Munro; Aki Murata; Julia E. M. S. Nabel; S. Nakaoka; Yukihiro Nojiri; Karen O'Brien; Are Olsen; T. Ono; Fiz F. Pérez; Benjamin Pfeil; Denis Pierrot; Benjamin Poulter; Gregor Rehder; Christian Rödenbeck; S. Saito; Ute Schuster; Jörg Schwinger; Roland Séférian; Tobias Steinhoff; Benjamin D. Stocker; Adrienne J. Sutton; Taro Takahashi; Bronte Tilbrook; I. T. van der Laan-Luijkx; G. R. van der Werf; S. van Heuven; Douglas Vandemark; Nicolas Viovy; Andy Wiltshire; Sönke Zaehle; Ning Zeng;handle: 1871.1/f95ca2d7-5bd9-4f46-9c28-2d3b260be879 , 1983/89b73248-0547-423b-a44d-dd79a206a708 , 11858/00-001M-0000-0029-2A5A-1 , 11858/00-001M-0000-0029-2A62-D , 1956/12482 , 1874/325207 , 11858/00-001M-0000-0029-21C7-6 , 11858/00-001M-0000-0029-4525-3 , 11858/00-001M-0000-0029-4524-5 , 20.500.11850/108126 , 10261/305209
handle: 1871.1/f95ca2d7-5bd9-4f46-9c28-2d3b260be879 , 1983/89b73248-0547-423b-a44d-dd79a206a708 , 11858/00-001M-0000-0029-2A5A-1 , 11858/00-001M-0000-0029-2A62-D , 1956/12482 , 1874/325207 , 11858/00-001M-0000-0029-21C7-6 , 11858/00-001M-0000-0029-4525-3 , 11858/00-001M-0000-0029-4524-5 , 20.500.11850/108126 , 10261/305209
NERC provided funding to C. Le Quéré, R. Moriarty, and the GCP through their International Opportunities Fund specifically to support this publication (NE/103002X/1). G. P. Peters and R. M. Andrew were supported by the Norwegian Research Council (236296). J. G. Canadell was supported by the Australian Climate Change Science Programme. S. Sitch was supported by EU FP7 for funding through projects LUC4C (GA603542). R. J. Andres was supported by US Department of Energy, Office of Science, Biological and Environmental Research (BER) programmes under US Department of Energy contract DE-AC05- 00OR22725. T. A. Boden was supported by US Department of Energy, Office of Science, Biological and Environmental Research (BER) programmes under US Department of Energy contract DE-AC05-00OR22725.J. I. House was supported by the Leverhulme foundation and the EU FP7 through project LUC4C (GA603542). P. Friedlingstein was supported by the EU FP7 for funding through projects LUC4C (GA603542) and EMBRACE (GA282672). A. Arneth was supported by the EU FP7 for funding through LUC4C (603542), and the Helmholtz foundation and its ATMO programme. D. C. E. Bakker was supported by the EU FP7 for funding through project CARBOCHANGE (284879), the UK Ocean Acidification Research Programme (NE/H017046/1; funded by the Natural Environment Research Council, the Department for Energy and Climate Change and the Department for Environment, Food and Rural Affairs). L. Barbero was supported by NOAA’s Ocean Acidification Program and acknowledges support for this work from the National Aeronautics and Space Administration (NASA) ROSES Carbon Cycle Science under NASA grant 13-CARBON13_2-0080. P. Ciais acknowledges support from the European Research Council through Synergy grant ERC-2013-SyG-610028 “IMBALANCE-P”. M. Fader was supported by the EU FP7 for funding through project LUC4C (GA603542). J. Hauck was supported by the Helmholtz Postdoc Programme (Initiative and Networking Fund of the Helmholtz Association). R. A. Feely and A. J. Sutton were supported by the Climate Observation Division, Climate Program Office, NOAA, US Department of Commerce. A. K. Jain was supported by the US National Science Foundation (NSF AGS 12-43071) the US Department of Energy, Office of Science and BER programmes (DOE DE-SC0006706) and NASA LCLUC programme (NASA NNX14AD94G). E. Kato was supported by the ERTDF (S-10) from the Ministry of Environment, Japan. K. Klein Goldewijk was supported by the Dutch NWO VENI grant no. 863.14.022. S. K. Lauvset was supported by the project “Monitoring ocean acidification in Norwegian waters” from the Norwegian Ministry of Climate and Environment. V. Kitidis was supported by the EU FP7 for funding through project CARBOCHANGE (264879). C. Koven was supported by the Director, Office of Science, Office of Biological and Environmental Research of the US Department of Energy under contract no. DE-AC02-05CH11231 as part of their Regional and Global Climate Modeling Program. P. Landschützer was supported by GEOCarbon. I. T. van der Lann-Luijkx received financial support from OCW/NWO for ICOS-NL and computing time from NWO (SH-060-13). I. D. Lima was supported by the US National Science Foundation (NSF AGS-1048827). N. Metzl was supported by Institut National des Sciences de l’Univers (INSU) and Institut Paul Emile Victor (IPEV) for OISO cruises. D. R. Munro was supported by the US National Science Foundation (NSF PLR-1341647 and NSF AOAS-0944761). J. E. M. S. Nabel was supported by the German Research Foundation’s Emmy Noether Programme (PO1751/1-1) and acknowledges Julia Pongratz and Kim Naudts for their contributions. Y. Nojiri and S. Nakaoka were supported by the Global Environment Research Account for National Institutes (1432) by the Ministry of Environment of Japan. A. Olsen appreciates support from the Norwegian Research Council (SNACS, 229752). F. F. Pérez were supported by BOCATS (CTM2013-41048-P) project co-founded by the Spanish government and the Fondo Europeo de Desarrollo Regional (FEDER). B. Pfeil was supported through the European Union’s Horizon 2020 research and innovation programme AtlantOS under grant agreement no. 633211. D. Pierrot was supported by NOAA through the Climate Observation Division of the Climate Program Office. B. Poulter was supported by the EU FP7 for funding through GEOCarbon. G. Rehder was supported by BMBF (Bundesministerium für Bildung und Forschung) through project ICOS, grant no. 01LK1224D. U. Schuster was supported by NERC UKOARP (NE/H017046/1), NERC RAGANRoCC (NE/K002473/1), the European Space Agency (ESA) OceanFlux Evolution project, and EU FP7 CARBOCHANGE (264879). T. Steinhoff was supported by ICOS-D (BMBF FK 01LK1101C) and EU FP7 for funding through project CARBOCHANGE (264879). J. Schwinger was supported by the Research Council of Norway through project EVA (229771). T. Takahashi was supported by grants from NOAA and the Comer Education and Science Foundation. B. Tilbrook was supported by the Australian Department of Environment and the Integrated Marine Observing System. B. D. Stocker was supported by the Swiss National Science Foundation and FP7 funding through project EMBRACE (282672). S. van Heuven was supported by the EU FP7 for funding through project CARBOCHANGE (264879). G. R. van der Werf was supported by the European Research Council (280061). A. Wiltshire was supported by the Joint UK DECC/Defra Met Office Hadley Centre Climate Programme (GA01101) and EU FP7 Funding through project LUC4C (603542). S. Zaehle was supported by the European Research Council (ERC) under the Eu ropean Union’s Horizon 2020 research and innovation programme (QUINCY; grant agreement no. 647204). ISAM (PI: Atul K. Jain) simulations were carried out at the National Energy Research Scientific Computing Center (NERSC), which is supported by the US DOE under contract DE-AC02-05CH11231. Contributions from the Scripps Institution of Oceanography were supported under DoE grant DE-SC0012167 and by Schmidt Philanthropies. This is NOAA-PMEL contribution number 4400 Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates as well as consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover-change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models forced by observed climate, CO2, and land-cover change (some including nitrogen–carbon interactions). We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2005–2014), EFF was 9.0 ± 0.5 GtC yr−1, ELUC was 0.9 ± 0.5 GtC yr−1, GATM was 4.4 ± 0.1 GtC yr−1, SOCEAN was 2.6 ± 0.5 GtC yr−1, and SLAND was 3.0 ± 0.8 GtC yr−1. For the year 2014 alone, EFF grew to 9.8 ± 0.5 GtC yr−1, 0.6 % above 2013, continuing the growth trend in these emissions, albeit at a slower rate compared to the average growth of 2.2 % yr−1 that took place during 2005–2014. Also, for 2014, ELUC was 1.1 ± 0.5 GtC yr−1, GATM was 3.9 ± 0.2 GtC yr−1, SOCEAN was 2.9 ± 0.5 GtC yr−1, and SLAND was 4.1 ± 0.9 GtC yr−1. GATM was lower in 2014 compared to the past decade (2005–2014), reflecting a larger SLAND for that year. The global atmospheric CO2 concentration reached 397.15 ± 0.10 ppm averaged over 2014. For 2015, preliminary data indicate that the growth in EFF will be near or slightly below zero, with a projection of −0.6 [range of −1.6 to +0.5] %, based on national emissions projections for China and the USA, and projections of gross domestic product corrected for recent changes in the carbon intensity of the global economy for the rest of the world. From this projection of EFF and assumed constant ELUC for 2015, cumulative emissions of CO2 will reach about 555 ± 55 GtC (2035 ± 205 GtCO2) for 1870–2015, about 75 % from EFF and 25 % from ELUC. This living data update documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this data set (Le Quéré et al., 2015, 2014, 2013). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_2015). 48 pages, 9 figures, 10 tables.-- Proyecto Carbochange Peer reviewed
NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2015License: CC BYFull-Text: https://edepot.wur.nl/379938University of East Anglia digital repositoryArticle . 2015 . Peer-reviewedData sources: University of East Anglia digital repositoryEarth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2015 . Peer-reviewedLicense: CC BYSpiral - Imperial College Digital RepositoryArticle . 2015Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2015 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBeScholarship - University of CaliforniaArticle . 2015Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2015Data sources: eScholarship - University of CaliforniaElectronic Publication Information CenterArticle . 2015Data sources: Electronic Publication Information CenterNIOZ Repository; Open Marine ArchiveArticle . 2015ArchiMer - Institutional Archive of IfremerOther literature type . 2015Data sources: ArchiMer - Institutional Archive of IfremerRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2015 . 2023 . Peer-reviewedHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEA; HAL-IRD; HAL-UPMCArticle . 2015License: CC BYFull-Text: https://hal.science/hal-01245527/documenthttps://doi.org/doi:10.5194/es...Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 566 citations 566 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!visibility 114visibility views 114 download downloads 1,047 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2015License: CC BYFull-Text: https://edepot.wur.nl/379938University of East Anglia digital repositoryArticle . 2015 . Peer-reviewedData sources: University of East Anglia digital repositoryEarth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2015 . Peer-reviewedLicense: CC BYSpiral - Imperial College Digital RepositoryArticle . 2015Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2015 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBeScholarship - University of CaliforniaArticle . 2015Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2015Data sources: eScholarship - University of CaliforniaElectronic Publication Information CenterArticle . 2015Data sources: Electronic Publication Information CenterNIOZ Repository; Open Marine ArchiveArticle . 2015ArchiMer - Institutional Archive of IfremerOther literature type . 2015Data sources: ArchiMer - Institutional Archive of IfremerRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2015 . 2023 . Peer-reviewedHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEA; HAL-IRD; HAL-UPMCArticle . 2015License: CC BYFull-Text: https://hal.science/hal-01245527/documenthttps://doi.org/doi:10.5194/es...Article . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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