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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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Autor principal: Defrance, Dimitri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817647/
https://www.ncbi.nlm.nih.gov/pubmed/31673587
http://dx.doi.org/10.1016/j.dib.2019.104585
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author Defrance, Dimitri
author_facet Defrance, Dimitri
author_sort Defrance, Dimitri
collection PubMed
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.
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spelling pubmed-68176472019-10-31 Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century Defrance, Dimitri Data Brief Earth and Planetary Science 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. Elsevier 2019-09-28 /pmc/articles/PMC6817647/ /pubmed/31673587 http://dx.doi.org/10.1016/j.dib.2019.104585 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Earth and Planetary Science
Defrance, Dimitri
Dataset of global extreme climatic indices due to an acceleration of ice sheet melting during the 21st century
title 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_short 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
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817647/
https://www.ncbi.nlm.nih.gov/pubmed/31673587
http://dx.doi.org/10.1016/j.dib.2019.104585
work_keys_str_mv AT defrancedimitri datasetofglobalextremeclimaticindicesduetoanaccelerationoficesheetmeltingduringthe21stcentury