TOPAZ4-ML Sea Ice Thickness (1992-2022)

Subject: Natural sciences, Field: Earth Science, Subfield: Oceanography Key words: sea ice, thickness, Arctic, TOPAZ, machine learning, data assimilation The dataset can be visualized as an animation using the following link: https://av.tib.eu/media/68161

Bibliographic Details
Main Authors: Edel, Léo, Xie, Jiping, Bertino, Laurent
Format: Other/Unknown Material
Language:English
Published: Nansen Environmental and Remote Sensing Center (Leo Edel) 2024
Subjects:
sea ice
thickness
arctic
TOPAZ
machine learning
data assimilation
Sea ice
Online Access:https://doi.org/10.5281/zenodo.11191854
id ftzenodo:oai:zenodo.org:11191854
record_format openpolar
spelling ftzenodo:oai:zenodo.org:11191854 2024-09-15T18:34:08+00:00 TOPAZ4-ML Sea Ice Thickness (1992-2022) Edel, Léo Xie, Jiping Bertino, Laurent 2024-05-21 https://doi.org/10.5281/zenodo.11191854 eng eng Nansen Environmental and Remote Sensing Center (Leo Edel) https://doi.org/10.5281/zenodo.11191853 https://doi.org/10.5281/zenodo.11191854 oai:zenodo.org:11191854 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode The Crosphere, (2024-05-21) sea ice thickness arctic TOPAZ machine learning data assimilation info:eu-repo/semantics/other 2024 ftzenodo https://doi.org/10.5281/zenodo.1119185410.5281/zenodo.11191853 2024-07-26T15:57:28Z Subject: Natural sciences, Field: Earth Science, Subfield: Oceanography Key words: sea ice, thickness, Arctic, TOPAZ, machine learning, data assimilation The dataset can be visualized as an animation using the following link: https://av.tib.eu/media/68161 Other/Unknown Material Sea ice Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic sea ice
thickness
arctic
TOPAZ
machine learning
data assimilation
spellingShingle sea ice
thickness
arctic
TOPAZ
machine learning
data assimilation
Edel, Léo
Xie, Jiping
Bertino, Laurent
TOPAZ4-ML Sea Ice Thickness (1992-2022)
topic_facet sea ice
thickness
arctic
TOPAZ
machine learning
data assimilation
description Subject: Natural sciences, Field: Earth Science, Subfield: Oceanography Key words: sea ice, thickness, Arctic, TOPAZ, machine learning, data assimilation The dataset can be visualized as an animation using the following link: https://av.tib.eu/media/68161
format Other/Unknown Material
author Edel, Léo
Xie, Jiping
Bertino, Laurent
author_facet Edel, Léo
Xie, Jiping
Bertino, Laurent
author_sort Edel, Léo
title TOPAZ4-ML Sea Ice Thickness (1992-2022)
title_short TOPAZ4-ML Sea Ice Thickness (1992-2022)
title_full TOPAZ4-ML Sea Ice Thickness (1992-2022)
title_fullStr TOPAZ4-ML Sea Ice Thickness (1992-2022)
title_full_unstemmed TOPAZ4-ML Sea Ice Thickness (1992-2022)
title_sort topaz4-ml sea ice thickness (1992-2022)
publisher Nansen Environmental and Remote Sensing Center (Leo Edel)
publishDate 2024
url https://doi.org/10.5281/zenodo.11191854
genre Sea ice
genre_facet Sea ice
op_source The Crosphere, (2024-05-21)
op_relation https://doi.org/10.5281/zenodo.11191853
https://doi.org/10.5281/zenodo.11191854
oai:zenodo.org:11191854
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.1119185410.5281/zenodo.11191853
_version_ 1810475865740410880

Similar Items