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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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 |
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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 |
_version_ |
1766228403064668160 |