A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR: accompanying dataset ...

Dataset containing surface temperature and surface mass balance datasets generated from the MAR regional climate model over Greenland over two test areas using statistical downscaling tools from 6 km to 100m. The abstract of the accompanying submitted paper follows: The Greenland Ice Sheet (GrIS) ha...

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Bibliographic Details
Main Authors: Tedesco, Marco, Cervone, Guido, Colosio, Paolo, Fettweis, Xavier
Format: Dataset
Language:English
Published: Zenodo 2023
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.7803610
https://zenodo.org/record/7803610
id ftdatacite:10.5281/zenodo.7803610
record_format openpolar
spelling ftdatacite:10.5281/zenodo.7803610 2023-06-11T04:12:04+02:00 A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR: accompanying dataset ... Tedesco, Marco Cervone, Guido Colosio, Paolo Fettweis, Xavier 2023 https://dx.doi.org/10.5281/zenodo.7803610 https://zenodo.org/record/7803610 en eng Zenodo https://dx.doi.org/10.5281/zenodo.7803611 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess Greenland, SMB, statistical downscaling Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.780361010.5281/zenodo.7803611 2023-05-02T09:43:47Z Dataset containing surface temperature and surface mass balance datasets generated from the MAR regional climate model over Greenland over two test areas using statistical downscaling tools from 6 km to 100m. The abstract of the accompanying submitted paper follows: The Greenland Ice Sheet (GrIS) has been contributing directly to sea level rise and this contribution is projected to accelerate over next decades. A crucial tool for studying the evolution surface mass loss (e.g., surface mass balance, SMB) consists of regional climate models (RCMs) which can provide current estimates and future projections of sea level rise associated with such losses. However, one of the main limitations of RCMs is the relatively coarse horizontal spatial resolution at which outputs are currently generated. Here, we report results concerning the statistical downscaling of the SMB modeled by the Modèle Atmosphérique Régional (MAR) RCM from the original spatial resolution of 6 km to 100 m building on the relationship between ... Dataset Greenland Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Greenland, SMB, statistical downscaling
spellingShingle Greenland, SMB, statistical downscaling
Tedesco, Marco
Cervone, Guido
Colosio, Paolo
Fettweis, Xavier
A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR: accompanying dataset ...
topic_facet Greenland, SMB, statistical downscaling
description Dataset containing surface temperature and surface mass balance datasets generated from the MAR regional climate model over Greenland over two test areas using statistical downscaling tools from 6 km to 100m. The abstract of the accompanying submitted paper follows: The Greenland Ice Sheet (GrIS) has been contributing directly to sea level rise and this contribution is projected to accelerate over next decades. A crucial tool for studying the evolution surface mass loss (e.g., surface mass balance, SMB) consists of regional climate models (RCMs) which can provide current estimates and future projections of sea level rise associated with such losses. However, one of the main limitations of RCMs is the relatively coarse horizontal spatial resolution at which outputs are currently generated. Here, we report results concerning the statistical downscaling of the SMB modeled by the Modèle Atmosphérique Régional (MAR) RCM from the original spatial resolution of 6 km to 100 m building on the relationship between ...
format Dataset
author Tedesco, Marco
Cervone, Guido
Colosio, Paolo
Fettweis, Xavier
author_facet Tedesco, Marco
Cervone, Guido
Colosio, Paolo
Fettweis, Xavier
author_sort Tedesco, Marco
title A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR: accompanying dataset ...
title_short A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR: accompanying dataset ...
title_full A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR: accompanying dataset ...
title_fullStr A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR: accompanying dataset ...
title_full_unstemmed A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR: accompanying dataset ...
title_sort computationally efficient statistically downscaled 100 m resolution greenland product from the regional climate model mar: accompanying dataset ...
publisher Zenodo
publishDate 2023
url https://dx.doi.org/10.5281/zenodo.7803610
https://zenodo.org/record/7803610
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
op_relation https://dx.doi.org/10.5281/zenodo.7803611
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.780361010.5281/zenodo.7803611
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