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Article Dans Une Revue (Data Paper) Data in Brief Année : 2019

Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century

Résumé

This article describes extreme indices maps (Data Cube, raster X Time) for different scenarios with a more important contribution to the sea level rise from Greenland and/or Antarctica during the 21st century under the Representative Concentration Pathway (RCP) 8.5 emission scenario. The indices are produced annually and globally with a resolution of 0.5_ _ 0.5_ from 1951 to 2099. The data were generated by simulating daily maximum and minimum temperature and precipitation from the IPSL-CM5A-LR model from Coupled Model Intercomparison Project Phase 5 (CMIP5). These climatic data are unbiased and downscaled to the 0.5_x0.5 scale with the Cumulative Distribution Function transform (CDFt) and EWEMBI dataset compiled to support the bias correction of climate input data for ISIMIP. Finally, each extreme indice is computed on the unbiased data on each grid cell on all continents.
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hal-02620560 , version 1 (25-05-2020)

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Dimitri Defrance. Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century. Data in Brief, 2019, 27, pp.104585. ⟨10.1016/j.dib.2019.104585⟩. ⟨hal-02620560⟩
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