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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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.
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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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