Scientific data from precipitation driver response model intercomparison project

Gunnar Myhre; Bjørn Samset; Piers M. Forster; Øivind Hodnebrog; Marit Sandstad; Christian W. Mohr; Jana Sillmann; Camilla W. Stjern; Timothy Andrews; Olivier Boucher; Gregory Faluvegi; Trond Iversen; Jean Francois Lamarque; Matthew Kasoar; Alf Kirkevåg; Ryan Kramer; Longbo Liu; Johannes Mülmenstädt; Dirk Olivié; Johannes Quaas; Thomas B. Richardson; Dilshad Shawki; Drew Shindell; Chris Smith; Philip Stier; Tao Tang; Toshihiko Takemura; Apostolos Voulgarakis; Duncan Watson-Parris

doi:10.1038/s41597-022-01194-9

Scientific data from precipitation driver response model intercomparison project

Gunnar Myhre, Bjørn Samset, Piers M. Forster, Øivind Hodnebrog, Marit Sandstad, Christian W. Mohr, Jana Sillmann, Camilla W. Stjern, Timothy Andrews, Olivier Boucher, Gregory Faluvegi, Trond Iversen, Jean Francois Lamarque, Matthew Kasoar, Alf Kirkevåg, Ryan Kramer, Longbo Liu, Johannes Mülmenstädt, Dirk Olivié, Johannes QuaasThomas B. Richardson, Dilshad Shawki, Drew Shindell, Chris Smith, Philip Stier, Tao Tang, Toshihiko Takemura, Apostolos Voulgarakis, Duncan Watson-Parris

Center for Oceanic and Atmospheric Research

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Article number	123
Journal	Scientific Data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01194-9
Publication status	Published - Dec 2022

All Science Journal Classification (ASJC) codes

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41597-022-01194-9

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Myhre, G., Samset, B., Forster, P. M., Hodnebrog, Ø., Sandstad, M., Mohr, C. W., Sillmann, J., Stjern, C. W., Andrews, T., Boucher, O., Faluvegi, G., Iversen, T., Lamarque, J. F., Kasoar, M., Kirkevåg, A., Kramer, R., Liu, L., Mülmenstädt, J., Olivié, D., ... Watson-Parris, D. (2022). Scientific data from precipitation driver response model intercomparison project. Scientific Data, 9(1), [123]. https://doi.org/10.1038/s41597-022-01194-9

Myhre, G, Samset, B, Forster, PM, Hodnebrog, Ø, Sandstad, M, Mohr, CW, Sillmann, J, Stjern, CW, Andrews, T, Boucher, O, Faluvegi, G, Iversen, T, Lamarque, JF, Kasoar, M, Kirkevåg, A, Kramer, R, Liu, L, Mülmenstädt, J, Olivié, D, Quaas, J, Richardson, TB, Shawki, D, Shindell, D, Smith, C, Stier, P, Tang, T, Takemura, T, Voulgarakis, A & Watson-Parris, D 2022, 'Scientific data from precipitation driver response model intercomparison project', Scientific Data, vol. 9, no. 1, 123. https://doi.org/10.1038/s41597-022-01194-9

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abstract = "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{\textquoteright}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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AU - Myhre, Gunnar

AU - Samset, Bjørn

AU - Forster, Piers M.

AU - Hodnebrog, Øivind

AU - Sandstad, Marit

AU - Mohr, Christian W.

AU - Sillmann, Jana

AU - Stjern, Camilla W.

AU - Andrews, Timothy

AU - Boucher, Olivier

AU - Faluvegi, Gregory

AU - Iversen, Trond

AU - Lamarque, Jean Francois

AU - Kasoar, Matthew

AU - Kirkevåg, Alf

AU - Kramer, Ryan

AU - Liu, Longbo

AU - Mülmenstädt, Johannes

AU - Olivié, Dirk

AU - Quaas, Johannes

AU - Richardson, Thomas B.

AU - Shawki, Dilshad

AU - Shindell, Drew

AU - Smith, Chris

AU - Stier, Philip

AU - Tang, Tao

AU - Takemura, Toshihiko

AU - Voulgarakis, Apostolos

AU - Watson-Parris, Duncan

PY - 2022/12

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N2 - 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.

AB - 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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Scientific data from precipitation driver response model intercomparison project

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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