Scientific data from precipitation driver response model intercomparison projectScientific data from precipitation driver response model intercomparison project Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2024-03-062022enThis 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.Data Descriptorhttp://creativecommons.org/licenses/by/4.0/Scientific Data91Myhre_et_al_Sci. Data_9(1)_2022.pdfChania [Greece]Library of TUC2024-03-06application/pdf1.3 MBfree 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 Βουλγαρακης Αποστολος Watson-Parris Duncan Springer Nature Atmospheric science Climate change