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

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...

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Published in:Data in Brief
Main Author: Defrance, Dimitri
Format: Article in Journal/Newspaper
Language:English
Published: 2019
Subjects:
Online Access:http://prodinra.inra.fr/ft/8C49D2A0-AAAF-45E1-B859-0A82BFCF564A
http://prodinra.inra.fr/record/487628
https://doi.org/10.1016/j.dib.2019.104585
id ftinraparis:oai:prodinra.inra.fr:487628
record_format openpolar
spelling ftinraparis:oai:prodinra.inra.fr:487628 2023-05-15T13:45:36+02:00 Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century Defrance, Dimitri 2019 application/pdf http://prodinra.inra.fr/ft/8C49D2A0-AAAF-45E1-B859-0A82BFCF564A http://prodinra.inra.fr/record/487628 https://doi.org/10.1016/j.dib.2019.104585 eng eng https://creativecommons.org/licenses/by/3.0/ CC-BY Data in Brief (27), 104585. (2019) Milieux et Changements globaux ice sheet contribution;climate change;extreme events;temperature;precipitation;global climate model changement climatique climat extrème ARTICLE 2019 ftinraparis https://doi.org/10.1016/j.dib.2019.104585 2020-02-18T23:25:39Z 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. Article in Journal/Newspaper Antarc* Antarctica Greenland Ice Sheet Institut National de la Recherche Agronomique: ProdINRA Greenland Data in Brief 27 104585
institution Open Polar
collection Institut National de la Recherche Agronomique: ProdINRA
op_collection_id ftinraparis
language English
topic Milieux et Changements globaux
ice sheet contribution;climate change;extreme events;temperature;precipitation;global climate model
changement climatique
climat extrème
spellingShingle Milieux et Changements globaux
ice sheet contribution;climate change;extreme events;temperature;precipitation;global climate model
changement climatique
climat extrème
Defrance, Dimitri
Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century
topic_facet Milieux et Changements globaux
ice sheet contribution;climate change;extreme events;temperature;precipitation;global climate model
changement climatique
climat extrème
description 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.
format Article in Journal/Newspaper
author Defrance, Dimitri
author_facet Defrance, Dimitri
author_sort Defrance, Dimitri
title Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century
title_short Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century
title_full Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century
title_fullStr Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century
title_full_unstemmed Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century
title_sort dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century
publishDate 2019
url http://prodinra.inra.fr/ft/8C49D2A0-AAAF-45E1-B859-0A82BFCF564A
http://prodinra.inra.fr/record/487628
https://doi.org/10.1016/j.dib.2019.104585
geographic Greenland
geographic_facet Greenland
genre Antarc*
Antarctica
Greenland
Ice Sheet
genre_facet Antarc*
Antarctica
Greenland
Ice Sheet
op_source Data in Brief (27), 104585. (2019)
op_rights https://creativecommons.org/licenses/by/3.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1016/j.dib.2019.104585
container_title Data in Brief
container_volume 27
container_start_page 104585
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