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

• Published in: Data in Brief
• Main Author: Dimitri Defrance
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2019
• Subjects: Computer applications to medicine. Medical informatics; R858-859.7; Science (General); Q1-390; Greenland; Antarc*; Antarctica; Ice Sheet
• Online Access: https://doi.org/10.1016/j.dib.2019.104585; https://doaj.org/article/af375c58725a40d1bb3fbc302a6ce27f

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. Keywords: Ice sheet contribution, Climate change, Extreme events, Temperature, Precipitation, Global climate model