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description Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2012 Netherlands, Switzerland, United Kingdom, United Kingdom, Norway, Netherlands, France, Netherlands, United Kingdom, United Kingdom, United KingdomPublisher:Copernicus GmbH Funded by:SNSF | Klima- und Umweltphysik, EC | GEOCARBON, EC | COMBINE +3 projectsSNSF| Klima- und Umweltphysik ,EC| GEOCARBON ,EC| COMBINE ,SNSF| Climate and Environmental Physics ,RCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| CARBOCHANGEClare Enright; Chris Huntingford; Peter Levy; Atul K. Jain; Richard A. Houghton; Laurent Bopp; Samuel Levis; Anders Ahlström; Gregg Marland; Jörg Schwinger; Jörg Schwinger; C. Le Quéré; Ning Zeng; Joanna Isobel House; Thomas J. Conway; Robert J. Andres; Sönke Zaehle; Etsushi Kato; Philippe Ciais; G. R. van der Werf; Tom Boden; Michael R. Raupach; Benjamin D. Stocker; Kees Klein Goldewijk; Kees Klein Goldewijk; Benjamin Poulter; Stephen Sitch; Ralph F. Keeling; Pierre Friedlingstein; Scott C. Doney; Mark R. Lomas; Glen P. Peters; Josep G. Canadell; Robbie M. Andrew; Nicolas Viovy; C. Jourdain; C. Jourdain;Abstract. Accurate assessments 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 climate policy process, and project future climate change. Present-day analysis requires the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. Here we describe datasets and a methodology developed by the global carbon cycle science community to quantify all major components of the global carbon budget, including their uncertainties. We discuss changes compared to previous estimates, consistency within and among components, and methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (EFF) are based on energy statistics, while emissions from Land-Use Change (ELUC), including deforestation, are based on combined evidence from land cover change data, fire activity in regions undergoing deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the 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. Finally, the global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms. For the last decade available (2002–2011), EFF was 8.3 ± 0.4 PgC yr−1, ELUC 1.0 ± 0.5 PgC yr−1, GATM 4.3 ± 0.1 PgC yr−1, SOCEAN 2.5 ± 0.5 PgC yr−1, and SLAND 2.6 ± 0.8 PgC yr−1. For year 2011 alone, EFF was 9.5 ± 0.5 PgC yr−1, 3.0 percent above 2010, reflecting a continued trend in these emissions; ELUC was 0.9 ± 0.5 PgC yr−1, approximately constant throughout the decade; GATM was 3.6 ± 0.2 PgC yr−1, SOCEAN was 2.7 ± 0.5 PgC yr−1, and SLAND was 4.1 ± 0.9 PgC yr−1. GATM was low in 2011 compared to the 2002–2011 average because of a high uptake by the land probably in response to natural climate variability associated to La Niña conditions in the Pacific Ocean. The global atmospheric CO2 concentration reached 391.31 ± 0.13 ppm at the end of year 2011. We estimate that EFF will have increased by 2.6% (1.9–3.5%) in 2012 based on projections of gross world product and recent changes in the carbon intensity of the economy. All uncertainties are reported as ±1 sigma (68% confidence assuming Gaussian error distributions that the real value lies within the given interval), reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. This paper is intended to provide a baseline to keep track of annual carbon budgets in the future. All data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_V2013). Global carbon budget 2013
NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add 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 654 citations 654 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Bentsen, Mats; Oliviè, Dirk Jan Leo; Seland, Øyvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NCC.NorESM2-MM.historical' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-MM (medium atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (1 degree resolution; 288 x 192; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Seland, Øyvind; Bentsen, Mats; Oliviè, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NCC.NorESM2-LM.esm-hist' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Guo, Chuncheng; Bentsen, Mats; Bethke, Ingo; Ilicak, Mehmet; Tjiputra, Jerry; Toniazzo, Thomas; Schwinger, Jörg; Otterå, Odd Helge;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.PMIP.NCC.NorESM1-F' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM1-F (a fast version of NorESM that is designed for paleo and multi-ensemble simulations) climate model, released in 2018, includes the following components: atmos: CAM4 (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), land: CLM4, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC5.1, seaIce: CICE4. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: atmos: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Seland, Øyvind; Bentsen, Mats; Oliviè, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.NCC.NorESM2-LM.ssp585' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Seland, Øyvind; Bentsen, Mats; Oliviè, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.NCC.NorESM2-LM.hist-aer' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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 , Review , Journal 2017 France, United Kingdom, France, France, United Kingdom, Germany, Germany, France, Netherlands, Germany, Australia, Spain, Austria, France, Australia, Switzerland, France, France, United KingdomPublisher:Copernicus GmbH Funded by:NWO | The distribution and evol..., EC | IMBALANCE-P, EC | RINGO +9 projectsNWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,EC| IMBALANCE-P ,EC| RINGO ,RCN| Jordsystem-modellering av klimaforandringer i den antroposene tidsalder; Earth system modelling of climate Variations in the Anthropocene ,EC| CRESCENDO ,EC| HELIX ,EC| QUINCY ,EC| LUC4C ,EC| FIBER ,SNSF| Geschichte der Bausteinbearbeitung, insbesondere in der westlichen Schweiz ,RCN| Integrated Carbon Observation System (ICOS)-Norway and Ocean Thematic Centre (OTC) ,RCN| CICEP-Strategic Challenges in International Climate and Energy PolicyBronte Tilbrook; Bronte Tilbrook; Jessica N. Cross; Guido R. van der Werf; Yukihiro Nojiri; Denis Pierrot; Denis Pierrot; Arne Körtzinger; Andrew J. Watson; Nathalie Lefèvre; Nicolas Metzl; Andrew Lenton; Andrew Lenton; X. Antonio Padin; David R. Munro; Andrew C. Manning; Philippe Ciais; Leticia Barbero; Leticia Barbero; Kees Klein Goldewijk; Kees Klein Goldewijk; Markus Kautz; Ivan D. Lima; Benjamin Poulter; Benjamin Poulter; Sebastian Lienert; Sebastian Lienert; Pieter P. Tans; Oliver Andrews; George C. Hurtt; Janet J. Reimer; Ingunn Skjelvan; Peter Landschützer; Francesco N. Tubiello; Thomas A. Boden; Anthony P. Walker; Pedro M. S. Monteiro; Kim I. Currie; Robert B. Jackson; Vivek K. Arora; Meike Becker; Meike Becker; Benjamin D. Stocker; Nicolas Vuichard; Tatiana Ilyina; Richard A. Houghton; Stephen Sitch; Sönke Zaehle; Christian Rödenbeck; Dorothee C. E. Bakker; Judith Hauck; Jörg Schwinger; Julia E. M. S. Nabel; Jan Ivar Korsbakken; Frédéric Chevallier; Andy Wiltshire; Ralph F. Keeling; Catherine E Cosca; Thomas Gasser; Ingrid T. van der Laan-Luijkx; Richard Betts; Richard Betts; Shin-Ichiro Nakaoka; Ian Harris; Robbie M. Andrew; Roland Séférian; Pierre Friedlingstein; Steven van Heuven; Christopher W. Hunt; Laurent Bopp; Dan Zhu; Julia Pongratz; Gregor Rehder; Louise Chini; Nicolas Viovy; Frank J. Millero; Etsushi Kato; Benjamin Pfeil; Benjamin Pfeil; Glen P. Peters; Josep G. Canadell; Anna Peregon; Atul K. Jain; Corinne Le Quéré; Danica Lombardozzi; Vanessa Haverd; Hanqin Tian;Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the "global carbon budget" – 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 methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of our imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2007–2016), EFF was 9.4 ± 0.5 GtC yr−1, ELUC 1.3 ± 0.7 GtC yr−1, GATM 4.7 ± 0.1 GtC yr−1, SOCEAN 2.4 ± 0.5 GtC yr−1, and SLAND 3.0 ± 0.8 GtC yr−1, with a budget imbalance BIM of 0.6 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9 ± 0.5 GtC yr−1. Also for 2016, ELUC was 1.3 ± 0.7 GtC yr−1, GATM was 6.1 ± 0.2 GtC yr−1, SOCEAN was 2.6 ± 0.5 GtC yr−1 and SLAND was 2.7 ± 1.0 GtC yr−1, with a small BIM of −0.3 GtC. GATM continued to be higher in 2016 compared to the past decade (2007–2016), reflecting in part the higher fossil emissions and smaller SLAND for that year consistent with El Niño conditions. The global atmospheric CO2 concentration reached 402.8 ± 0.1 ppm averaged over 2016. For 2017, preliminary data indicate a renewed growth in EFF of +2.0 % (range of 0.8 % to 3.0 %) based on national emissions projections for China, USA, and India, and projections of Gross Domestic Product corrected for recent changes in the carbon intensity of the economy for the rest of the world. For 2017, initial data indicate an increase in atmospheric CO2 concentration of around 5.3 GtC (2.5 ppm), attributed to a combination of increasing emissions and receding El Niño conditions. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Quéré et al., 2016; 2015b; 2015a; 2014; 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/32317Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2018License: CC BYFull-Text: https://doi.org/10.18160/GCP-2017Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Review . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CenterElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add 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 hybrid 1K citations 1,019 popularity Top 0.1% influence Top 0.1% impulse Top 0.01% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/32317Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2018License: CC BYFull-Text: https://doi.org/10.18160/GCP-2017Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Review . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CenterElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Seland, Øyvind; Bentsen, Mats; Oliviè, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.NCC.NorESM2-MM.ssp370' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-MM (medium atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (1 degree resolution; 288 x 192; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Schwinger, Jörg; Tjiputra, Jerry; Seland, Øyvind; Bentsen, Mats; Oliviè, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Gao, Shuang; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.C4MIP.NCC.NorESM2-LM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Oliviè, Dirk Jan Leo; Bentsen, Mats; Seland, Øyvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.AerChemMIP.NCC.NorESM2-LM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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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description Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2012 Netherlands, Switzerland, United Kingdom, United Kingdom, Norway, Netherlands, France, Netherlands, United Kingdom, United Kingdom, United KingdomPublisher:Copernicus GmbH Funded by:SNSF | Klima- und Umweltphysik, EC | GEOCARBON, EC | COMBINE +3 projectsSNSF| Klima- und Umweltphysik ,EC| GEOCARBON ,EC| COMBINE ,SNSF| Climate and Environmental Physics ,RCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| CARBOCHANGEClare Enright; Chris Huntingford; Peter Levy; Atul K. Jain; Richard A. Houghton; Laurent Bopp; Samuel Levis; Anders Ahlström; Gregg Marland; Jörg Schwinger; Jörg Schwinger; C. Le Quéré; Ning Zeng; Joanna Isobel House; Thomas J. Conway; Robert J. Andres; Sönke Zaehle; Etsushi Kato; Philippe Ciais; G. R. van der Werf; Tom Boden; Michael R. Raupach; Benjamin D. Stocker; Kees Klein Goldewijk; Kees Klein Goldewijk; Benjamin Poulter; Stephen Sitch; Ralph F. Keeling; Pierre Friedlingstein; Scott C. Doney; Mark R. Lomas; Glen P. Peters; Josep G. Canadell; Robbie M. Andrew; Nicolas Viovy; C. Jourdain; C. Jourdain;Abstract. Accurate assessments 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 climate policy process, and project future climate change. Present-day analysis requires the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. Here we describe datasets and a methodology developed by the global carbon cycle science community to quantify all major components of the global carbon budget, including their uncertainties. We discuss changes compared to previous estimates, consistency within and among components, and methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (EFF) are based on energy statistics, while emissions from Land-Use Change (ELUC), including deforestation, are based on combined evidence from land cover change data, fire activity in regions undergoing deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the 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. Finally, the global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms. For the last decade available (2002–2011), EFF was 8.3 &pm; 0.4 PgC yr−1, ELUC 1.0 &pm; 0.5 PgC yr−1, GATM 4.3 &pm; 0.1 PgC yr−1, SOCEAN 2.5 &pm; 0.5 PgC yr−1, and SLAND 2.6 &pm; 0.8 PgC yr−1. For year 2011 alone, EFF was 9.5 &pm; 0.5 PgC yr−1, 3.0 percent above 2010, reflecting a continued trend in these emissions; ELUC was 0.9 &pm; 0.5 PgC yr−1, approximately constant throughout the decade; GATM was 3.6 &pm; 0.2 PgC yr−1, SOCEAN was 2.7 &pm; 0.5 PgC yr−1, and SLAND was 4.1 &pm; 0.9 PgC yr−1. GATM was low in 2011 compared to the 2002–2011 average because of a high uptake by the land probably in response to natural climate variability associated to La Niña conditions in the Pacific Ocean. The global atmospheric CO2 concentration reached 391.31 &pm; 0.13 ppm at the end of year 2011. We estimate that EFF will have increased by 2.6% (1.9–3.5%) in 2012 based on projections of gross world product and recent changes in the carbon intensity of the economy. All uncertainties are reported as &pm;1 sigma (68% confidence assuming Gaussian error distributions that the real value lies within the given interval), reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. This paper is intended to provide a baseline to keep track of annual carbon budgets in the future. All data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_V2013). Global carbon budget 2013
NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add 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 654 citations 654 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Bentsen, Mats; Oliviè, Dirk Jan Leo; Seland, Øyvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NCC.NorESM2-MM.historical' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-MM (medium atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (1 degree resolution; 288 x 192; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Seland, Øyvind; Bentsen, Mats; Oliviè, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NCC.NorESM2-LM.esm-hist' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Guo, Chuncheng; Bentsen, Mats; Bethke, Ingo; Ilicak, Mehmet; Tjiputra, Jerry; Toniazzo, Thomas; Schwinger, Jörg; Otterå, Odd Helge;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.PMIP.NCC.NorESM1-F' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM1-F (a fast version of NorESM that is designed for paleo and multi-ensemble simulations) climate model, released in 2018, includes the following components: atmos: CAM4 (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), land: CLM4, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC5.1, seaIce: CICE4. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: atmos: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Seland, Øyvind; Bentsen, Mats; Oliviè, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.NCC.NorESM2-LM.ssp585' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Seland, Øyvind; Bentsen, Mats; Oliviè, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.NCC.NorESM2-LM.hist-aer' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Journal 2017 France, United Kingdom, France, France, United Kingdom, Germany, Germany, France, Netherlands, Germany, Australia, Spain, Austria, France, Australia, Switzerland, France, France, United KingdomPublisher:Copernicus GmbH Funded by:NWO | The distribution and evol..., EC | IMBALANCE-P, EC | RINGO +9 projectsNWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,EC| IMBALANCE-P ,EC| RINGO ,RCN| Jordsystem-modellering av klimaforandringer i den antroposene tidsalder; Earth system modelling of climate Variations in the Anthropocene ,EC| CRESCENDO ,EC| HELIX ,EC| QUINCY ,EC| LUC4C ,EC| FIBER ,SNSF| Geschichte der Bausteinbearbeitung, insbesondere in der westlichen Schweiz ,RCN| Integrated Carbon Observation System (ICOS)-Norway and Ocean Thematic Centre (OTC) ,RCN| CICEP-Strategic Challenges in International Climate and Energy PolicyBronte Tilbrook; Bronte Tilbrook; Jessica N. Cross; Guido R. van der Werf; Yukihiro Nojiri; Denis Pierrot; Denis Pierrot; Arne Körtzinger; Andrew J. Watson; Nathalie Lefèvre; Nicolas Metzl; Andrew Lenton; Andrew Lenton; X. Antonio Padin; David R. Munro; Andrew C. Manning; Philippe Ciais; Leticia Barbero; Leticia Barbero; Kees Klein Goldewijk; Kees Klein Goldewijk; Markus Kautz; Ivan D. Lima; Benjamin Poulter; Benjamin Poulter; Sebastian Lienert; Sebastian Lienert; Pieter P. Tans; Oliver Andrews; George C. Hurtt; Janet J. Reimer; Ingunn Skjelvan; Peter Landschützer; Francesco N. Tubiello; Thomas A. Boden; Anthony P. Walker; Pedro M. S. Monteiro; Kim I. Currie; Robert B. Jackson; Vivek K. Arora; Meike Becker; Meike Becker; Benjamin D. Stocker; Nicolas Vuichard; Tatiana Ilyina; Richard A. Houghton; Stephen Sitch; Sönke Zaehle; Christian Rödenbeck; Dorothee C. E. Bakker; Judith Hauck; Jörg Schwinger; Julia E. M. S. Nabel; Jan Ivar Korsbakken; Frédéric Chevallier; Andy Wiltshire; Ralph F. Keeling; Catherine E Cosca; Thomas Gasser; Ingrid T. van der Laan-Luijkx; Richard Betts; Richard Betts; Shin-Ichiro Nakaoka; Ian Harris; Robbie M. Andrew; Roland Séférian; Pierre Friedlingstein; Steven van Heuven; Christopher W. Hunt; Laurent Bopp; Dan Zhu; Julia Pongratz; Gregor Rehder; Louise Chini; Nicolas Viovy; Frank J. Millero; Etsushi Kato; Benjamin Pfeil; Benjamin Pfeil; Glen P. Peters; Josep G. Canadell; Anna Peregon; Atul K. Jain; Corinne Le Quéré; Danica Lombardozzi; Vanessa Haverd; Hanqin Tian;Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the "global carbon budget" – 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 methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of our imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2007–2016), EFF was 9.4 ± 0.5 GtC yr−1, ELUC 1.3 ± 0.7 GtC yr−1, GATM 4.7 ± 0.1 GtC yr−1, SOCEAN 2.4 ± 0.5 GtC yr−1, and SLAND 3.0 ± 0.8 GtC yr−1, with a budget imbalance BIM of 0.6 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9 ± 0.5 GtC yr−1. Also for 2016, ELUC was 1.3 ± 0.7 GtC yr−1, GATM was 6.1 ± 0.2 GtC yr−1, SOCEAN was 2.6 ± 0.5 GtC yr−1 and SLAND was 2.7 ± 1.0 GtC yr−1, with a small BIM of −0.3 GtC. GATM continued to be higher in 2016 compared to the past decade (2007–2016), reflecting in part the higher fossil emissions and smaller SLAND for that year consistent with El Niño conditions. The global atmospheric CO2 concentration reached 402.8 ± 0.1 ppm averaged over 2016. For 2017, preliminary data indicate a renewed growth in EFF of +2.0 % (range of 0.8 % to 3.0 %) based on national emissions projections for China, USA, and India, and projections of Gross Domestic Product corrected for recent changes in the carbon intensity of the economy for the rest of the world. For 2017, initial data indicate an increase in atmospheric CO2 concentration of around 5.3 GtC (2.5 ppm), attributed to a combination of increasing emissions and receding El Niño conditions. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Quéré et al., 2016; 2015b; 2015a; 2014; 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/32317Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2018License: CC BYFull-Text: https://doi.org/10.18160/GCP-2017Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Review . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CenterElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add 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 hybrid 1K citations 1,019 popularity Top 0.1% influence Top 0.1% impulse Top 0.01% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2018 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2018 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10871/32317Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2018License: CC BYFull-Text: https://doi.org/10.18160/GCP-2017Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)Other literature type . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Recolector de Ciencia Abierta, RECOLECTAArticle . 2018 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2018Earth System Science Data (ESSD)Review . 2018License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2018License: CC BYData sources: Wageningen Staff PublicationsElectronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CenterElectronic Publication Information CenterArticle . 2018Data sources: Electronic Publication Information CenterEarth System Science Data (ESSD)Article . 2018 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2018Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of Tasmania: UTas ePrintsArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Seland, Øyvind; Bentsen, Mats; Oliviè, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.NCC.NorESM2-MM.ssp370' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-MM (medium atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (1 degree resolution; 288 x 192; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZWorld Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Schwinger, Jörg; Tjiputra, Jerry; Seland, Øyvind; Bentsen, Mats; Oliviè, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Gao, Shuang; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.C4MIP.NCC.NorESM2-LM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ Oliviè, Dirk Jan Leo; Bentsen, Mats; Seland, Øyvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael;Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.AerChemMIP.NCC.NorESM2-LM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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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more_vert World Data Center fo... arrow_drop_down World Data Center for Climate at DKRZDataset . 2023License: CC BYData sources: World Data Center for Climate at DKRZadd 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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