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...
Published in: | Data in Brief |
---|---|
Main Author: | |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Elsevier
2019
|
Subjects: | |
Online Access: | https://doi.org/10.1016/j.dib.2019.104585 https://doaj.org/article/af375c58725a40d1bb3fbc302a6ce27f |
id |
ftdoajarticles:oai:doaj.org/article:af375c58725a40d1bb3fbc302a6ce27f |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:af375c58725a40d1bb3fbc302a6ce27f 2023-05-15T13:55:48+02:00 Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century Dimitri Defrance 2019-12-01T00:00:00Z https://doi.org/10.1016/j.dib.2019.104585 https://doaj.org/article/af375c58725a40d1bb3fbc302a6ce27f EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S2352340919309400 https://doaj.org/toc/2352-3409 2352-3409 doi:10.1016/j.dib.2019.104585 https://doaj.org/article/af375c58725a40d1bb3fbc302a6ce27f Data in Brief, Vol 27, Iss , Pp - (2019) Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 article 2019 ftdoajarticles https://doi.org/10.1016/j.dib.2019.104585 2022-12-30T21:16:30Z 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 Article in Journal/Newspaper Antarc* Antarctica Greenland Ice Sheet Directory of Open Access Journals: DOAJ Articles Greenland Data in Brief 27 104585 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 |
spellingShingle |
Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 Dimitri Defrance Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century |
topic_facet |
Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 |
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. Keywords: Ice sheet contribution, Climate change, Extreme events, Temperature, Precipitation, Global climate model |
format |
Article in Journal/Newspaper |
author |
Dimitri Defrance |
author_facet |
Dimitri Defrance |
author_sort |
Dimitri Defrance |
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 |
publisher |
Elsevier |
publishDate |
2019 |
url |
https://doi.org/10.1016/j.dib.2019.104585 https://doaj.org/article/af375c58725a40d1bb3fbc302a6ce27f |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland Ice Sheet |
genre_facet |
Antarc* Antarctica Greenland Ice Sheet |
op_source |
Data in Brief, Vol 27, Iss , Pp - (2019) |
op_relation |
http://www.sciencedirect.com/science/article/pii/S2352340919309400 https://doaj.org/toc/2352-3409 2352-3409 doi:10.1016/j.dib.2019.104585 https://doaj.org/article/af375c58725a40d1bb3fbc302a6ce27f |
op_doi |
https://doi.org/10.1016/j.dib.2019.104585 |
container_title |
Data in Brief |
container_volume |
27 |
container_start_page |
104585 |
_version_ |
1766262638312947712 |