Scientific data from precipitation driver response model intercomparison project.

Autor: Myhre G; CICERO - Center for International Climate Research, Oslo, Norway. gunnar.myhre@cicero.oslo.no., Samset B; CICERO - Center for International Climate Research, Oslo, Norway., Forster PM; Faculty of Environment, University of Leeds, Leeds, UK., Hodnebrog Ø; CICERO - Center for International Climate Research, Oslo, Norway., Sandstad M; CICERO - Center for International Climate Research, Oslo, Norway., Mohr CW; CICERO - Center for International Climate Research, Oslo, Norway., Sillmann J; CICERO - Center for International Climate Research, Oslo, Norway., Stjern CW; CICERO - Center for International Climate Research, Oslo, Norway., Andrews T; Met Office Hadley Centre, Exeter, UK., Boucher O; Institute Pierre-Simon Laplace, Sorbonne Université/CNRS, Paris, France., Faluvegi G; Center for Climate System Research, Columbia University, New York, NY, USA.; NASA Goddard Institute for Space Studies, New York, USA., Iversen T; Norwegian Meteorological Institute, Oslo, Norway., Lamarque JF; National Center for Atmospheric Research, Boulder, CO, USA., Kasoar M; Leverhulme Centre for Wildfires, Environment and Society, Department of Physics, Imperial College London, London, UK., Kirkevåg A; Norwegian Meteorological Institute, Oslo, Norway., Kramer R; Climate and Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA.; Universities Space Research Association, 7178 Columbia Gateway Drive, Columbia, MD, 21046, USA., Liu L; Leverhulme Centre for Wildfires, Environment and Society, Department of Physics, Imperial College London, London, UK.; Northwest Institute of Nuclear Technology, Xi'an, China., Mülmenstädt J; Institute of Meteorology, Universität Leipzig, Leipzig, Germany.; now at Pacific Northwest National Laboratory, Richland, WA, USA., Olivié D; Norwegian Meteorological Institute, Oslo, Norway., Quaas J; Institute of Meteorology, Universität Leipzig, Leipzig, Germany., Richardson TB; Faculty of Environment, University of Leeds, Leeds, UK., Shawki D; Leverhulme Centre for Wildfires, Environment and Society, Department of Physics, Imperial College London, London, UK., Shindell D; Nicholas School of the Environment, Duke University, Durham, NC, USA., Smith C; Faculty of Environment, University of Leeds, Leeds, UK., Stier P; Department of Physics, University of Oxford, Oxford, UK., Tang T; School of Environment, Yale University, New Haven, CT, USA., Takemura T; Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan., Voulgarakis A; Leverhulme Centre for Wildfires, Environment and Society, Department of Physics, Imperial College London, London, UK.; School of Environmental Engineering, Technical University of Crete, Chania, Greece., Watson-Parris D; Department of Physics, University of Oxford, Oxford, UK.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2022 Mar 30; Vol. 9 (1), pp. 123. Date of Electronic Publication: 2022 Mar 30.
DOI: 10.1038/s41597-022-01194-9
Abstrakt: 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.
(© 2022. The Author(s).)
Databáze: MEDLINE
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