Scientific data from precipitation driver response model intercomparison project

Gunnar Myhre; Bjørn H. Samset; Piers Forster; Øivind Hodnebrog; Marit Sandstad; Camilla W. Stjern; 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 Muelmenstaedt; Dirk Olivié; Johannes Quaas; Thomas B. Richardson; Dilshad Shawki; Drew Shindell; Christopher 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 H. Samset, Piers Forster, Øivind Hodnebrog, Marit Sandstad, Camilla W. Stjern, 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 Muelmenstaedt, Dirk Olivié, Johannes QuaasThomas B. Richardson, Dilshad Shawki, Drew Shindell, Christopher Smith, Philip Stier, Tao Tang, Toshihiko Takemura, Apostolos Voulgarakis, Duncan Watson-Parris

Vakgroep Water en Klimaat

Onderzoeksoutput: Article › peer review

10 Citaten (Scopus)

Samenvatting

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.

Originele taal-2	English
Aantal pagina's	7
Tijdschrift	Scientific Data
Volume	9
Nummer van het tijdschrift	1
DOI's	https://doi.org/10.1038/s41597-022-01194-9
Status	Published - 30 mrt. 2022

Bibliografische nota

Publisher Copyright:
© 2022, The Author(s).

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10.1038/s41597-022-01194-9

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Myhre, G., Samset, B. H., Forster, P., Hodnebrog, Ø., Sandstad, M., Stjern, 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., Muelmenstaedt, J., Olivié, D., ... Watson-Parris, D. (2022). Scientific data from precipitation driver response model intercomparison project. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01194-9

@article{c9f197a4dd6d456391e82532c606310c,

title = "Scientific data from precipitation driver response model intercomparison project",

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.",

author = "Gunnar Myhre and Samset, {Bj{\o}rn H.} and Piers Forster and {\O}ivind Hodnebrog and Marit Sandstad and Stjern, {Camilla W.} and Jana Sillmann and Stjern, {Camilla W.} and Timothy Andrews and Olivier Boucher and Gregory Faluvegi and Trond Iversen and Jean-Francois Lamarque and Matthew Kasoar and Alf Kirkev{\aa}g and Ryan Kramer and Longbo Liu and Johannes Muelmenstaedt and Dirk Olivi{\'e} and Johannes Quaas and Richardson, {Thomas B.} and Dilshad Shawki and Drew Shindell and Christopher Smith and Philip Stier and Tao Tang and Toshihiko Takemura and Apostolos Voulgarakis and Duncan Watson-Parris",

note = "Funding Information: PDRMIP is supported by the projects NAPEX (grant no. 229778) and SUPER (grant no. 250573) funded by the Norwegian Research Council and the European Union{\textquoteright}s Horizon 2020 Research and Innovation Programme under Grant Agreement 820829 (CONSTRAIN). Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2022",

month = mar,

day = "30",

doi = "10.1038/s41597-022-01194-9",

language = "English",

volume = "9",

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Myhre, G, Samset, BH, Forster, P, Hodnebrog, Ø, Sandstad, M, Stjern, CW, Sillmann, J, Stjern, CW, Andrews, T, Boucher, O, Faluvegi, G, Iversen, T, Lamarque, J-F, Kasoar, M, Kirkevåg, A, Kramer, R, Liu, L, Muelmenstaedt, 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, nr. 1. https://doi.org/10.1038/s41597-022-01194-9

TY - JOUR

T1 - Scientific data from precipitation driver response model intercomparison project

AU - Myhre, Gunnar

AU - Samset, Bjørn H.

AU - Forster, Piers

AU - Hodnebrog, Øivind

AU - Sandstad, Marit

AU - Stjern, Camilla 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 - Muelmenstaedt, Johannes

AU - Olivié, Dirk

AU - Quaas, Johannes

AU - Richardson, Thomas B.

AU - Shawki, Dilshad

AU - Shindell, Drew

AU - Smith, Christopher

AU - Stier, Philip

AU - Tang, Tao

AU - Takemura, Toshihiko

AU - Voulgarakis, Apostolos

AU - Watson-Parris, Duncan

N1 - Funding Information: PDRMIP is supported by the projects NAPEX (grant no. 229778) and SUPER (grant no. 250573) funded by the Norwegian Research Council and the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement 820829 (CONSTRAIN). Publisher Copyright: © 2022, The Author(s).

PY - 2022/3/30

Y1 - 2022/3/30

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.

UR - http://dx.doi.org/10.1038/s41597-022-01194-9

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SN - 2052-4463

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