Snow phenological parameters based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE) from 1972-2019
This dataset include three parts to obtain Figures 1 and 2 in the study of "Review of snow phenology variation in the Northern Hemisphere and its relationship with climate and vegetation". The first one is the annual spatial distribution maps of the Snow Cover Onset Date(SCOD), Snow Cover...
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Online Access: | https://zenodo.org/record/7432273 https://doi.org/10.5281/zenodo.7432273 |
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ftzenodo:oai:zenodo.org:7432273 2023-05-15T18:17:26+02:00 Snow phenological parameters based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE) from 1972-2019 Guo Hui 2022-12-13 https://zenodo.org/record/7432273 https://doi.org/10.5281/zenodo.7432273 unknown doi:10.5281/zenodo.7432272 https://zenodo.org/record/7432273 https://doi.org/10.5281/zenodo.7432273 oai:zenodo.org:7432273 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode snow phenological parameters NHSCE info:eu-repo/semantics/other dataset 2022 ftzenodo https://doi.org/10.5281/zenodo.743227310.5281/zenodo.7432272 2023-03-11T01:59:10Z This dataset include three parts to obtain Figures 1 and 2 in the study of "Review of snow phenology variation in the Northern Hemisphere and its relationship with climate and vegetation". The first one is the annual spatial distribution maps of the Snow Cover Onset Date(SCOD), Snow Cover End Date(SCED) and the Snow Cover Days(SCD). The second one is the annual average SCOD, SCED and SCD. The three one is the annual statistics of the SCOD, SCED and SCD. The snow phenological parameters are calculated based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE). Dataset Sea ice Zenodo |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
snow phenological parameters NHSCE |
spellingShingle |
snow phenological parameters NHSCE Guo Hui Snow phenological parameters based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE) from 1972-2019 |
topic_facet |
snow phenological parameters NHSCE |
description |
This dataset include three parts to obtain Figures 1 and 2 in the study of "Review of snow phenology variation in the Northern Hemisphere and its relationship with climate and vegetation". The first one is the annual spatial distribution maps of the Snow Cover Onset Date(SCOD), Snow Cover End Date(SCED) and the Snow Cover Days(SCD). The second one is the annual average SCOD, SCED and SCD. The three one is the annual statistics of the SCOD, SCED and SCD. The snow phenological parameters are calculated based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE). |
format |
Dataset |
author |
Guo Hui |
author_facet |
Guo Hui |
author_sort |
Guo Hui |
title |
Snow phenological parameters based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE) from 1972-2019 |
title_short |
Snow phenological parameters based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE) from 1972-2019 |
title_full |
Snow phenological parameters based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE) from 1972-2019 |
title_fullStr |
Snow phenological parameters based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE) from 1972-2019 |
title_full_unstemmed |
Snow phenological parameters based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE) from 1972-2019 |
title_sort |
snow phenological parameters based on northern hemisphere ease grid 2.0 weekly snow and sea ice extent (nhsce) from 1972-2019 |
publishDate |
2022 |
url |
https://zenodo.org/record/7432273 https://doi.org/10.5281/zenodo.7432273 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
doi:10.5281/zenodo.7432272 https://zenodo.org/record/7432273 https://doi.org/10.5281/zenodo.7432273 oai:zenodo.org:7432273 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.743227310.5281/zenodo.7432272 |
_version_ |
1766191644624814080 |