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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

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URIhttp://purl.tuc.gr/dl/dias/4AD6205D-30AE-4486-AA32-3983179B46BC-
Identifierhttps://doi.org/10.1038/s41597-022-01194-9-
Identifierhttps://www.nature.com/articles/s41597-022-01194-9-
Languageen-
Extent7 pagesen
TitleScientific data from precipitation driver response model intercomparison projecten
CreatorMyhre Gunnaren
CreatorSamset Bjørnen
CreatorForster Piers M.en
CreatorHodnebrog Øivinden
CreatorSandstad Mariten
CreatorMohr Christian W.en
CreatorSillmann Janaen
CreatorStjern Camilla W.en
CreatorAndrews Timothyen
CreatorBoucher Olivieren
CreatorFaluvegi Gregoryen
CreatorIversen Tronden
CreatorLamarque Jean-Francoisen
CreatorKasoar Matthewen
CreatorKirkevåg Alfen
CreatorKramer Ryanen
CreatorLiu Longboen
CreatorMülmenstädt Johannesen
CreatorOlivié Dirken
CreatorQuaas Johannesen
CreatorRichardson Thomas B.en
CreatorShawki Dilshaden
CreatorShindell, Drewen
CreatorSmith Chrisen
CreatorStier Philipen
CreatorTang Taoen
CreatorTakemura Toshihikoen
CreatorVoulgarakis Apostolosen
CreatorΒουλγαρακης Αποστολοςel
CreatorWatson-Parris Duncanen
PublisherSpringer Natureen
DescriptionData Descriptoren
Content SummaryThis 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.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2024-03-06-
Date of Publication2022-
SubjectAtmospheric scienceen
SubjectClimate changeen
Bibliographic CitationG. Myhre, B. Samset, P. M. Forster, Ø. Hodnebrog, M. Sandstad, C. W. Mohr, J. Sillmann, C. W. Stjern, T. Andrews, O. Boucher, G. Faluvegi, T. Iversen, J.-F. Lamarque, M. Kasoar, A. Kirkevåg, R. Kramer, L. Liu, J. Mülmenstädt, D. Olivié, J. Quaas, T. B. Richardson, D. Shawki, D. Shindell, C. Smith, P. Stier, T. Tang, T. Takemura, A. Voulgarakis and D. Watson-Parris “Scientific data from precipitation driver response model intercomparison project,” Sci. Data, vol. 9, no. 1, Mar. 2022, doi: 10.1038/s41597-022-01194-9.en

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