Greenland ice sheet subsurface temperature compilation scripts ...

These scripts process the 10 m subsurface temperature from various sources and compile them into a single dataset. It builds an Artificial Neural Network on that dataset using temperature and snowfall data from the ERA5 reanalysis dataset. The output of the ANN is monthly grids of 10 m subsurface te...

Full description

Bibliographic Details
Main Author: Vandecrux, Baptiste
Format: Software
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.8027443
https://zenodo.org/record/8027443
id ftdatacite:10.5281/zenodo.8027443
record_format openpolar
spelling ftdatacite:10.5281/zenodo.8027443 2023-07-23T04:19:31+02:00 Greenland ice sheet subsurface temperature compilation scripts ... Vandecrux, Baptiste 2023 https://dx.doi.org/10.5281/zenodo.8027443 https://zenodo.org/record/8027443 unknown Zenodo https://github.com/BaptisteVandecrux/greenland-ice-sheet-subsurface-temperature/tree/v1.0 https://github.com/BaptisteVandecrux/greenland-ice-sheet-subsurface-temperature/tree/v1.0 https://dx.doi.org/10.5281/zenodo.8027442 Open Access info:eu-repo/semantics/openAccess Software article SoftwareSourceCode 2023 ftdatacite https://doi.org/10.5281/zenodo.802744310.5281/zenodo.8027442 2023-07-03T18:40:22Z These scripts process the 10 m subsurface temperature from various sources and compile them into a single dataset. It builds an Artificial Neural Network on that dataset using temperature and snowfall data from the ERA5 reanalysis dataset. The output of the ANN is monthly grids of 10 m subsurface temperature. This output is then compared to three regional climate model output RACMO, HIRHAM and MAR. ... Software 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 unknown
description These scripts process the 10 m subsurface temperature from various sources and compile them into a single dataset. It builds an Artificial Neural Network on that dataset using temperature and snowfall data from the ERA5 reanalysis dataset. The output of the ANN is monthly grids of 10 m subsurface temperature. This output is then compared to three regional climate model output RACMO, HIRHAM and MAR. ...
format Software
author Vandecrux, Baptiste
spellingShingle Vandecrux, Baptiste
Greenland ice sheet subsurface temperature compilation scripts ...
author_facet Vandecrux, Baptiste
author_sort Vandecrux, Baptiste
title Greenland ice sheet subsurface temperature compilation scripts ...
title_short Greenland ice sheet subsurface temperature compilation scripts ...
title_full Greenland ice sheet subsurface temperature compilation scripts ...
title_fullStr Greenland ice sheet subsurface temperature compilation scripts ...
title_full_unstemmed Greenland ice sheet subsurface temperature compilation scripts ...
title_sort greenland ice sheet subsurface temperature compilation scripts ...
publisher Zenodo
publishDate 2023
url https://dx.doi.org/10.5281/zenodo.8027443
https://zenodo.org/record/8027443
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
op_relation https://github.com/BaptisteVandecrux/greenland-ice-sheet-subsurface-temperature/tree/v1.0
https://github.com/BaptisteVandecrux/greenland-ice-sheet-subsurface-temperature/tree/v1.0
https://dx.doi.org/10.5281/zenodo.8027442
op_rights Open Access
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.802744310.5281/zenodo.8027442
_version_ 1772182702237155328