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Scientific data from precipitation driver response model intercomparison project
This data descriptor reports the main scientific values from General Circulation Models (GCMs) in the Precipitation Driver and Response Model Intercomparison Project (PDRMIP). The purpose of the GCM simulations has been to enhance the scientific understanding of how changes in greenhouse gases, aero...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967886/ https://www.ncbi.nlm.nih.gov/pubmed/35354809 http://dx.doi.org/10.1038/s41597-022-01194-9 |
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author | Myhre, Gunnar Samset, Bjørn Forster, Piers M. Hodnebrog, Øivind Sandstad, Marit Mohr, Christian W. Sillmann, Jana Stjern, Camilla W. Andrews, Timothy Boucher, Olivier Faluvegi, Gregory Iversen, Trond Lamarque, Jean-Francois Kasoar, Matthew Kirkevåg, Alf Kramer, Ryan Liu, Longbo Mülmenstädt, Johannes Olivié, Dirk Quaas, Johannes Richardson, Thomas B. Shawki, Dilshad Shindell, Drew Smith, Chris Stier, Philip Tang, Tao Takemura, Toshihiko Voulgarakis, Apostolos Watson-Parris, Duncan |
author_facet | Myhre, Gunnar Samset, Bjørn Forster, Piers M. Hodnebrog, Øivind Sandstad, Marit Mohr, Christian W. Sillmann, Jana Stjern, Camilla W. Andrews, Timothy Boucher, Olivier Faluvegi, Gregory Iversen, Trond Lamarque, Jean-Francois Kasoar, Matthew Kirkevåg, Alf Kramer, Ryan Liu, Longbo Mülmenstädt, Johannes Olivié, Dirk Quaas, Johannes Richardson, Thomas B. Shawki, Dilshad Shindell, Drew Smith, Chris Stier, Philip Tang, Tao Takemura, Toshihiko Voulgarakis, Apostolos Watson-Parris, Duncan |
author_sort | Myhre, Gunnar |
collection | PubMed |
description | This data descriptor reports the main scientific values from General Circulation Models (GCMs) in the Precipitation Driver and Response Model Intercomparison Project (PDRMIP). The purpose of the GCM simulations has been to enhance the scientific understanding of how changes in greenhouse gases, aerosols, and incoming solar radiation perturb the Earth’s radiation balance and its climate response in terms of changes in temperature and precipitation. Here we provide global and annual mean results for a large set of coupled atmospheric-ocean GCM simulations and a description of how to easily extract files from the dataset. The simulations consist of single idealized perturbations to the climate system and have been shown to achieve important insight in complex climate simulations. We therefore expect this data set to be valuable and highly used to understand simulations from complex GCMs and Earth System Models for various phases of the Coupled Model Intercomparison Project. |
format | Online Article Text |
id | pubmed-8967886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89678862022-04-20 Scientific data from precipitation driver response model intercomparison project Myhre, Gunnar Samset, Bjørn Forster, Piers M. Hodnebrog, Øivind Sandstad, Marit Mohr, Christian W. Sillmann, Jana Stjern, Camilla W. Andrews, Timothy Boucher, Olivier Faluvegi, Gregory Iversen, Trond Lamarque, Jean-Francois Kasoar, Matthew Kirkevåg, Alf Kramer, Ryan Liu, Longbo Mülmenstädt, Johannes Olivié, Dirk Quaas, Johannes Richardson, Thomas B. Shawki, Dilshad Shindell, Drew Smith, Chris Stier, Philip Tang, Tao Takemura, Toshihiko Voulgarakis, Apostolos Watson-Parris, Duncan Sci Data Data Descriptor This data descriptor reports the main scientific values from General Circulation Models (GCMs) in the Precipitation Driver and Response Model Intercomparison Project (PDRMIP). The purpose of the GCM simulations has been to enhance the scientific understanding of how changes in greenhouse gases, aerosols, and incoming solar radiation perturb the Earth’s radiation balance and its climate response in terms of changes in temperature and precipitation. Here we provide global and annual mean results for a large set of coupled atmospheric-ocean GCM simulations and a description of how to easily extract files from the dataset. The simulations consist of single idealized perturbations to the climate system and have been shown to achieve important insight in complex climate simulations. We therefore expect this data set to be valuable and highly used to understand simulations from complex GCMs and Earth System Models for various phases of the Coupled Model Intercomparison Project. Nature Publishing Group UK 2022-03-30 /pmc/articles/PMC8967886/ /pubmed/35354809 http://dx.doi.org/10.1038/s41597-022-01194-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Myhre, Gunnar Samset, Bjørn Forster, Piers M. Hodnebrog, Øivind Sandstad, Marit Mohr, Christian W. Sillmann, Jana Stjern, Camilla W. Andrews, Timothy Boucher, Olivier Faluvegi, Gregory Iversen, Trond Lamarque, Jean-Francois Kasoar, Matthew Kirkevåg, Alf Kramer, Ryan Liu, Longbo Mülmenstädt, Johannes Olivié, Dirk Quaas, Johannes Richardson, Thomas B. Shawki, Dilshad Shindell, Drew Smith, Chris Stier, Philip Tang, Tao Takemura, Toshihiko Voulgarakis, Apostolos Watson-Parris, Duncan Scientific data from precipitation driver response model intercomparison project |
title | Scientific data from precipitation driver response model intercomparison project |
title_full | Scientific data from precipitation driver response model intercomparison project |
title_fullStr | Scientific data from precipitation driver response model intercomparison project |
title_full_unstemmed | Scientific data from precipitation driver response model intercomparison project |
title_short | Scientific data from precipitation driver response model intercomparison project |
title_sort | scientific data from precipitation driver response model intercomparison project |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967886/ https://www.ncbi.nlm.nih.gov/pubmed/35354809 http://dx.doi.org/10.1038/s41597-022-01194-9 |
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