Data set: Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022 ...
Version 2: Updates from version 1: Monthly, daily, and hourly dist-PDD and uni-PDD outputs have been added. https://doi.org/10.5194/tc-17-3667-2023 Version 1: This dataset accompanies Zheng et al. (2023): Statistically parameterizing and evaluating a positive degree-day model to estimate surface mel...
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Online Access: | https://dx.doi.org/10.5281/zenodo.7131458 https://zenodo.org/record/7131458 |
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ftdatacite:10.5281/zenodo.7131458 2023-11-05T03:33:51+01:00 Data set: Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022 ... Zheng, Yaowen Golledge, Nicholas R. Gossart, Alexandra 2023 https://dx.doi.org/10.5281/zenodo.7131458 https://zenodo.org/record/7131458 unknown Zenodo https://dx.doi.org/10.5281/zenodo.7131459 https://dx.doi.org/10.5281/zenodo.8327543 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 Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.713145810.5281/zenodo.713145910.5281/zenodo.8327543 2023-10-09T10:43:42Z Version 2: Updates from version 1: Monthly, daily, and hourly dist-PDD and uni-PDD outputs have been added. https://doi.org/10.5194/tc-17-3667-2023 Version 1: This dataset accompanies Zheng et al. (2023): Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022, The Cryosphere. This dataset contains annual PDD model output. ... Dataset Antarc* Antarctica DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
description |
Version 2: Updates from version 1: Monthly, daily, and hourly dist-PDD and uni-PDD outputs have been added. https://doi.org/10.5194/tc-17-3667-2023 Version 1: This dataset accompanies Zheng et al. (2023): Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022, The Cryosphere. This dataset contains annual PDD model output. ... |
format |
Dataset |
author |
Zheng, Yaowen Golledge, Nicholas R. Gossart, Alexandra |
spellingShingle |
Zheng, Yaowen Golledge, Nicholas R. Gossart, Alexandra Data set: Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022 ... |
author_facet |
Zheng, Yaowen Golledge, Nicholas R. Gossart, Alexandra |
author_sort |
Zheng, Yaowen |
title |
Data set: Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022 ... |
title_short |
Data set: Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022 ... |
title_full |
Data set: Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022 ... |
title_fullStr |
Data set: Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022 ... |
title_full_unstemmed |
Data set: Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022 ... |
title_sort |
data set: statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in antarctica from 1979 to 2022 ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.7131458 https://zenodo.org/record/7131458 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
https://dx.doi.org/10.5281/zenodo.7131459 https://dx.doi.org/10.5281/zenodo.8327543 |
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.713145810.5281/zenodo.713145910.5281/zenodo.8327543 |
_version_ |
1781701691738947584 |