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 ...
| Main Authors: | , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Nansen Environmental and Remote Sensing Center (Leo Edel)
2024
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5281/zenodo.11191853 https://zenodo.org/doi/10.5281/zenodo.11191853 |
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ftdatacite:10.5281/zenodo.11191853 |
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ftdatacite:10.5281/zenodo.11191853 2024-09-15T18:34:08+00:00 TOPAZ4-ML Sea Ice Thickness (1992-2022) ... Edel, Léo Xie, Jiping Bertino, Laurent 2024 https://dx.doi.org/10.5281/zenodo.11191853 https://zenodo.org/doi/10.5281/zenodo.11191853 en eng Nansen Environmental and Remote Sensing Center (Leo Edel) https://dx.doi.org/10.5281/zenodo.11191854 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 sea ice thickness arctic TOPAZ machine learning data assimilation Dataset dataset 2024 ftdatacite https://doi.org/10.5281/zenodo.1119185310.5281/zenodo.11191854 2024-07-03T12:28:32Z 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 ... Dataset Sea ice DataCite |
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Open Polar |
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DataCite |
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ftdatacite |
| language |
English |
| topic |
sea ice thickness arctic TOPAZ machine learning data assimilation |
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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 |
Dataset |
| 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://dx.doi.org/10.5281/zenodo.11191853 https://zenodo.org/doi/10.5281/zenodo.11191853 |
| genre |
Sea ice |
| genre_facet |
Sea ice |
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https://dx.doi.org/10.5281/zenodo.11191854 |
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Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
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https://doi.org/10.5281/zenodo.1119185310.5281/zenodo.11191854 |
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