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Scientific data from precipitation driver response model intercomparison project. | LitMetric

AI Article Synopsis

  • The data descriptor covers key scientific insights from General Circulation Models (GCMs) used in the Precipitation Driver and Response Model Intercomparison Project (PDRMIP), focusing on climate responses to changes in greenhouse gases, aerosols, and solar radiation.
  • It provides global and annual mean results from a wide range of coupled atmospheric-ocean GCM simulations, emphasizing the importance of single idealized perturbations to understand climate behavior better.
  • The dataset is designed to be user-friendly, offering an accessible way to extract files, and is expected to support research on complex GCMs and Earth System Models in the Coupled Model Intercomparison Project.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967886PMC
http://dx.doi.org/10.1038/s41597-022-01194-9DOI Listing

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