First application of artificial neural networks to estimate 21st century Greenland ice sheet surface melt: scripts and models
In this repository you will find the models and the scripts used to generate the journal article: "First application of artificial neural networks to estimate 21st century Greenland ice sheet surface melt." The model.tar contains the script for making a model, in addition to the models use...
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Online Access: | https://dx.doi.org/10.5281/zenodo.5153907 https://zenodo.org/record/5153907 |
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ftdatacite:10.5281/zenodo.5153907 2023-05-15T16:26:24+02:00 First application of artificial neural networks to estimate 21st century Greenland ice sheet surface melt: scripts and models Sellevold, Raymond 2021 https://dx.doi.org/10.5281/zenodo.5153907 https://zenodo.org/record/5153907 unknown Zenodo https://dx.doi.org/10.5281/zenodo.5153908 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 CC-BY dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.5153907 https://doi.org/10.5281/zenodo.5153908 2021-11-05T12:55:41Z In this repository you will find the models and the scripts used to generate the journal article: "First application of artificial neural networks to estimate 21st century Greenland ice sheet surface melt." The model.tar contains the script for making a model, in addition to the models used in the journal artcile. The proc.tar contains the scripts used for processing of the CMIP6 data. The plots.tar contains scripts for generating the plots in the journal article, as well as the supplementary information. Dataset Greenland Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Greenland |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
description |
In this repository you will find the models and the scripts used to generate the journal article: "First application of artificial neural networks to estimate 21st century Greenland ice sheet surface melt." The model.tar contains the script for making a model, in addition to the models used in the journal artcile. The proc.tar contains the scripts used for processing of the CMIP6 data. The plots.tar contains scripts for generating the plots in the journal article, as well as the supplementary information. |
format |
Dataset |
author |
Sellevold, Raymond |
spellingShingle |
Sellevold, Raymond First application of artificial neural networks to estimate 21st century Greenland ice sheet surface melt: scripts and models |
author_facet |
Sellevold, Raymond |
author_sort |
Sellevold, Raymond |
title |
First application of artificial neural networks to estimate 21st century Greenland ice sheet surface melt: scripts and models |
title_short |
First application of artificial neural networks to estimate 21st century Greenland ice sheet surface melt: scripts and models |
title_full |
First application of artificial neural networks to estimate 21st century Greenland ice sheet surface melt: scripts and models |
title_fullStr |
First application of artificial neural networks to estimate 21st century Greenland ice sheet surface melt: scripts and models |
title_full_unstemmed |
First application of artificial neural networks to estimate 21st century Greenland ice sheet surface melt: scripts and models |
title_sort |
first application of artificial neural networks to estimate 21st century greenland ice sheet surface melt: scripts and models |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.5153907 https://zenodo.org/record/5153907 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_relation |
https://dx.doi.org/10.5281/zenodo.5153908 |
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_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.5153907 https://doi.org/10.5281/zenodo.5153908 |
_version_ |
1766015310366769152 |