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Research data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Authors: Fiedler, Stephanie; Putrasahan, Dian;We provide model data from experiments with the coupled atmosphere-ocean climate model MPI-ESM1.2 of Fiedler and Putrasahan (accepted). These are processed data files in netCDF format used for figures shown in the manuscript: SST_change_SP-75_minus_PI.nc - mean difference in sea-surface temperatures associated with the change in the anthropogenic aerosol pattern of 1975 relative to 1850 from 200-years of model output of MPI-ESM1.2 (Figure 1c, Fiedler and Putrasahan, 2021) SST_change_SP-05_minus_SP-75.nc - mean difference in sea-surface temperatures associated with the change in the anthropogenic aerosol pattern of 2005 relative to 1975 from 200-years of model output of MPI-ESM1.2 (Figure 1d, Fiedler and Putrasahan, 2021) UWIND_change_SP-75-ATF_minus_PI.nc - mean difference in zonal 10m-wind component associated with the change in the anthropogenic aerosol pattern of 1975 (enhanced anthropogenic aerosol optical depth) relative to 1850 from 200-years of model output of MPI-ESM1.2 (Figure 1e, Fiedler and Putrasahan, 2021) MSLP_change_SP-75-ATF_minus_PI.nc - mean difference in the mean sea-level pressure associated with the change in the anthropogenic aerosol pattern of 1975 (enhanced anthropogenic aerosol optical depth) relative to 1850 from 200-years of model output of MPI-ESM1.2 (Figure 1f, Fiedler and Putrasahan, 2021) AMOC_*.nc - mean North Atlantic overturning circulation at 1000 m below the sea surface in the (*) experiments with MPI-ESM1.2 (Figure 2a-b, Fiedler and Putrasahan, 2021) NAHT_total_*.nc - mean total northward Atlantic heat transport in the experiments with MPI-ESM1.2 (Figure 2c-e, Fiedler and Putrasahan, 2021) NAHT_gyre_*.nc - gyre component of the mean northward Atlantic heat transport in the experiments with MPI-ESM1.2 (Figure 2c-e, Fiedler and Putrasahan, 2021) NAHT_moc_*.nc - overturning component of the mean northward Atlantic heat transport in the experiments with MPI-ESM1.2 (Figure 2c-e, Fiedler and Putrasahan, 2021) We further provide primary data information in Fiedler_Putrasahan_primary-data-information.txt. The model simulations were performed and analysed on the high-performance computer mistral of DKRZ. Our research was largely funded by the Max-Planck-Institute for Meteorology. Refer to Fiedler and Putrasahan (2021) for further information on the data and interpretation of the results. Reference Fiedler, S., and Putrasahan, D.: How does the North Atlantic SST pattern respond to anthropogenic aerosols in the 1970s and 2000s? Geophys. Res. Letters, accepted
ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData 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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visibility 4visibility views 4 download downloads 1 Powered bymore_vert ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData 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.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020 Spain, United Kingdom, United Kingdom, France, United States, SpainPublisher:American Geophysical Union (AGU) Funded by:EC | PRIMAVERA, EC | Blue-Action, NSF | The Management and Operat...EC| PRIMAVERA ,EC| Blue-Action ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR)Roberts, Malcolm John; Camp, Joanne; Seddon, Jon; Vidale, Pier Luigi; Hodges, Kevin; Vannière, Benoît; Mecking, Jenny; Haarsma, Rein; Bellucci, Alessio; Scoccimarro, Enrico; Caron, Louis‐Philippe; Chauvin, Fabrice; Terray, Laurent; Valcke, Sophie; Moine, Marie‐Pierre; Putrasahan, Dian; Roberts, Christopher D.; Senan, Retish; Zarzycki, Colin; Ullrich, Paul; Yamada, Yohei; Mizuta, Ryo; Kodama, Chihiro; Fu, Dan; Zhang, Qiuying; Danabasoglu, Gokhan; Rosenbloom, Nan; Wang, Hong; Wu, Lixin;AbstractFuture changes in tropical cyclone properties are an important component of climate change impacts and risk for many tropical and midlatitude countries. In this study we assess the performance of a multimodel ensemble of climate models, at resolutions ranging from 250 to 25 km. We use a common experimental design including both atmosphere‐only and coupled simulations run over the period 1950–2050, with two tracking algorithms applied uniformly across the models. There are overall improvements in tropical cyclone frequency, spatial distribution, and intensity in models at 25 km resolution, with several of them able to represent very intense storms. Projected tropical cyclone activity by 2050 generally declines in the South Indian Ocean, while changes in other ocean basins are more uncertain and sensitive to both tracking algorithm and imposed forcings. Coupled models with smaller biases suggest a slight increase in average TC 10 m wind speeds by 2050.
CORE arrow_drop_down Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledgeArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020License: CC BYFull-Text: https://escholarship.org/uc/item/5nn7t4t5Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2020 . Peer-reviewedLicense: CC BYData sources: UPCommons. Portal del coneixement obert de la UPCeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaGeophysical Research LettersArticle . 2020 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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.euAccess RoutesGreen gold 148 citations 148 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 53visibility views 53 download downloads 49 Powered bymore_vert CORE arrow_drop_down Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledgeArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020License: CC BYFull-Text: https://escholarship.org/uc/item/5nn7t4t5Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2020 . Peer-reviewedLicense: CC BYData sources: UPCommons. Portal del coneixement obert de la UPCeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaGeophysical Research LettersArticle . 2020 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2020gl088662&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ von Storch, Jin-Song; Putrasahan, Dian; Lohmann, Katja; Gutjahr, Oliver; Jungclaus, Johann; Bittner, Matthias; Haak, Helmuth; Wieners, Karl-Hermann; Giorgetta, Marco; Reick, Christian; Esch, Monika; Gayler, Veronika; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; Behrens, Jörg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Müller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich;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.HighResMIP.MPI-M.MPI-ESM1-2-HR.control-1950' 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 MPI-ESM1.2-HR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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 von Storch, Jin-Song; Putrasahan, Dian; Lohmann, Katja; Gutjahr, Oliver; Jungclaus, Johann; Bittner, Matthias; Haak, Helmuth; Wieners, Karl-Hermann; Giorgetta, Marco; Reick, Christian; Esch, Monika; Gayler, Veronika; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; Behrens, Jörg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Müller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich;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.HighResMIP.MPI-M.MPI-ESM1-2-HR' 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 MPI-ESM1.2-HR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26050/wdcc/ar6.c6hrmxme2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26050/wdcc/ar6.c6hrmxme2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ von Storch, Jin-Song; Putrasahan, Dian; Lohmann, Katja; Gutjahr, Oliver; Jungclaus, Johann; Bittner, Matthias; Haak, Helmuth; Wieners, Karl-Hermann; Giorgetta, Marco; Reick, Christian; Esch, Monika; Gayler, Veronika; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; Behrens, Jörg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Müller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich;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.HighResMIP.MPI-M.MPI-ESM1-2-HR.hist-1950' 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 MPI-ESM1.2-HR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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.
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 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 von Storch, Jin-Song; Putrasahan, Dian; Lohmann, Katja; Gutjahr, Oliver; Jungclaus, Johann; Bittner, Matthias; Haak, Helmuth; Wieners, Karl-Hermann; Giorgetta, Marco; Reick, Christian; Esch, Monika; Gayler, Veronika; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; Behrens, Jörg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Müller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich;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.HighResMIP.MPI-M.MPI-ESM1-2-XR' 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 MPI-ESM1.2-XR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T255; 768 x 384 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 50 km, atmos: 50 km, land: 50 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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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Research data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Authors: Fiedler, Stephanie; Putrasahan, Dian;We provide model data from experiments with the coupled atmosphere-ocean climate model MPI-ESM1.2 of Fiedler and Putrasahan (accepted). These are processed data files in netCDF format used for figures shown in the manuscript: SST_change_SP-75_minus_PI.nc - mean difference in sea-surface temperatures associated with the change in the anthropogenic aerosol pattern of 1975 relative to 1850 from 200-years of model output of MPI-ESM1.2 (Figure 1c, Fiedler and Putrasahan, 2021) SST_change_SP-05_minus_SP-75.nc - mean difference in sea-surface temperatures associated with the change in the anthropogenic aerosol pattern of 2005 relative to 1975 from 200-years of model output of MPI-ESM1.2 (Figure 1d, Fiedler and Putrasahan, 2021) UWIND_change_SP-75-ATF_minus_PI.nc - mean difference in zonal 10m-wind component associated with the change in the anthropogenic aerosol pattern of 1975 (enhanced anthropogenic aerosol optical depth) relative to 1850 from 200-years of model output of MPI-ESM1.2 (Figure 1e, Fiedler and Putrasahan, 2021) MSLP_change_SP-75-ATF_minus_PI.nc - mean difference in the mean sea-level pressure associated with the change in the anthropogenic aerosol pattern of 1975 (enhanced anthropogenic aerosol optical depth) relative to 1850 from 200-years of model output of MPI-ESM1.2 (Figure 1f, Fiedler and Putrasahan, 2021) AMOC_*.nc - mean North Atlantic overturning circulation at 1000 m below the sea surface in the (*) experiments with MPI-ESM1.2 (Figure 2a-b, Fiedler and Putrasahan, 2021) NAHT_total_*.nc - mean total northward Atlantic heat transport in the experiments with MPI-ESM1.2 (Figure 2c-e, Fiedler and Putrasahan, 2021) NAHT_gyre_*.nc - gyre component of the mean northward Atlantic heat transport in the experiments with MPI-ESM1.2 (Figure 2c-e, Fiedler and Putrasahan, 2021) NAHT_moc_*.nc - overturning component of the mean northward Atlantic heat transport in the experiments with MPI-ESM1.2 (Figure 2c-e, Fiedler and Putrasahan, 2021) We further provide primary data information in Fiedler_Putrasahan_primary-data-information.txt. The model simulations were performed and analysed on the high-performance computer mistral of DKRZ. Our research was largely funded by the Max-Planck-Institute for Meteorology. Refer to Fiedler and Putrasahan (2021) for further information on the data and interpretation of the results. Reference Fiedler, S., and Putrasahan, D.: How does the North Atlantic SST pattern respond to anthropogenic aerosols in the 1970s and 2000s? Geophys. Res. Letters, accepted
ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData 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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visibility 4visibility views 4 download downloads 1 Powered bymore_vert ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData 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.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020 Spain, United Kingdom, United Kingdom, France, United States, SpainPublisher:American Geophysical Union (AGU) Funded by:EC | PRIMAVERA, EC | Blue-Action, NSF | The Management and Operat...EC| PRIMAVERA ,EC| Blue-Action ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR)Roberts, Malcolm John; Camp, Joanne; Seddon, Jon; Vidale, Pier Luigi; Hodges, Kevin; Vannière, Benoît; Mecking, Jenny; Haarsma, Rein; Bellucci, Alessio; Scoccimarro, Enrico; Caron, Louis‐Philippe; Chauvin, Fabrice; Terray, Laurent; Valcke, Sophie; Moine, Marie‐Pierre; Putrasahan, Dian; Roberts, Christopher D.; Senan, Retish; Zarzycki, Colin; Ullrich, Paul; Yamada, Yohei; Mizuta, Ryo; Kodama, Chihiro; Fu, Dan; Zhang, Qiuying; Danabasoglu, Gokhan; Rosenbloom, Nan; Wang, Hong; Wu, Lixin;AbstractFuture changes in tropical cyclone properties are an important component of climate change impacts and risk for many tropical and midlatitude countries. In this study we assess the performance of a multimodel ensemble of climate models, at resolutions ranging from 250 to 25 km. We use a common experimental design including both atmosphere‐only and coupled simulations run over the period 1950–2050, with two tracking algorithms applied uniformly across the models. There are overall improvements in tropical cyclone frequency, spatial distribution, and intensity in models at 25 km resolution, with several of them able to represent very intense storms. Projected tropical cyclone activity by 2050 generally declines in the South Indian Ocean, while changes in other ocean basins are more uncertain and sensitive to both tracking algorithm and imposed forcings. Coupled models with smaller biases suggest a slight increase in average TC 10 m wind speeds by 2050.
CORE arrow_drop_down Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledgeArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020License: CC BYFull-Text: https://escholarship.org/uc/item/5nn7t4t5Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2020 . Peer-reviewedLicense: CC BYData sources: UPCommons. Portal del coneixement obert de la UPCeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaGeophysical Research LettersArticle . 2020 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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.euAccess RoutesGreen gold 148 citations 148 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 53visibility views 53 download downloads 49 Powered bymore_vert CORE arrow_drop_down Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledgeArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020License: CC BYFull-Text: https://escholarship.org/uc/item/5nn7t4t5Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2020 . Peer-reviewedLicense: CC BYData sources: UPCommons. Portal del coneixement obert de la UPCeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaGeophysical Research LettersArticle . 2020 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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 von Storch, Jin-Song; Putrasahan, Dian; Lohmann, Katja; Gutjahr, Oliver; Jungclaus, Johann; Bittner, Matthias; Haak, Helmuth; Wieners, Karl-Hermann; Giorgetta, Marco; Reick, Christian; Esch, Monika; Gayler, Veronika; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; Behrens, Jörg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Müller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich;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.HighResMIP.MPI-M.MPI-ESM1-2-HR.control-1950' 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 MPI-ESM1.2-HR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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 von Storch, Jin-Song; Putrasahan, Dian; Lohmann, Katja; Gutjahr, Oliver; Jungclaus, Johann; Bittner, Matthias; Haak, Helmuth; Wieners, Karl-Hermann; Giorgetta, Marco; Reick, Christian; Esch, Monika; Gayler, Veronika; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; Behrens, Jörg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Müller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich;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.HighResMIP.MPI-M.MPI-ESM1-2-HR' 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 MPI-ESM1.2-HR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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.
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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 von Storch, Jin-Song; Putrasahan, Dian; Lohmann, Katja; Gutjahr, Oliver; Jungclaus, Johann; Bittner, Matthias; Haak, Helmuth; Wieners, Karl-Hermann; Giorgetta, Marco; Reick, Christian; Esch, Monika; Gayler, Veronika; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; Behrens, Jörg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Müller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich;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.HighResMIP.MPI-M.MPI-ESM1-2-HR.hist-1950' 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 MPI-ESM1.2-HR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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.
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 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 von Storch, Jin-Song; Putrasahan, Dian; Lohmann, Katja; Gutjahr, Oliver; Jungclaus, Johann; Bittner, Matthias; Haak, Helmuth; Wieners, Karl-Hermann; Giorgetta, Marco; Reick, Christian; Esch, Monika; Gayler, Veronika; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; Behrens, Jörg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Müller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich;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.HighResMIP.MPI-M.MPI-ESM1-2-XR' 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 MPI-ESM1.2-XR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T255; 768 x 384 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 50 km, atmos: 50 km, land: 50 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26050/wdcc/ar6.c6hrmxmx2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.26050/wdcc/ar6.c6hrmxmx2&type=result"></script>'); --> </script>
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