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

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: http://doi.org/10.1016/j.dib.2019.104585. This is version 1 of this Preprint.

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Authors

Dimitri Defrance 

Abstract

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°X0.5° 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 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 compute on the unbiased data on each grid cell on all continents. These data are available at http://dx.doi.org/10.17632/fbsdj87gjg.1 .

DOI

https://doi.org/10.31223/osf.io/7nw29

Subjects

Atmospheric Sciences, Climate, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Planetary Hydrology, Planetary Sciences

Keywords

Precipitation, climate change, temperature, extreme events, global climate model, ice sheet contribution

Dates

Published: 2019-03-25 06:55

License

GNU Lesser General Public License (LGPL) 2.1