Sea Ice Thickness (SIT) 1992-2023 from TOPAZ4-ML
Using variables from TOPAZ4, CS2SMOS, ERA5, sea ice age. References can be found in Edel et al. (2024). https://doi.org/10.5194/egusphere-2024-1896
Simple
- Date (Publication)
- 2024-10-03
- Edition
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1
- Citation identifier
- doi:10.21335/NMDC-NERSC-1482514946
+4755205801
www.nersc.no
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NASA/GCMD Earth Science Keywords
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EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE DEPTH/THICKNESS
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- Keywords
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Sea ice thickness
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- Keywords
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TARDIS
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- Access constraints
- Other restrictions
- Other constraints
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Free of charge for scientific purposes
- Use constraints
- Other restrictions
- Other constraints
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Users must display the following citation in any publication or product using this dataset. "Edel, Léo, et al. Reconstruction of Arctic sea ice thickness (1992–2010) based on a hybrid machine learning and data assimilation approach. EGUsphere 2024 (2024): 1-28."
- Language
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eng
- Character set
- UTF8
- Topic category
-
- Geoscientific information
))
- Begin
- 1992-01-01T00:00:00
- End
- 2022-12-31T23:59:59
Vertical extent
- Minimum value
- 0
- Maximum value
- 20
Vertical datum
- Distribution format
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NetCDF
(
3
)
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NetCDF
(
3
)
+4755205801
www.nersc.no
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- Hierarchy level
- Dataset
- Statement
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Dataset for Edel et al. (2024), Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach, The Cryosphere, submitted.
- File identifier
- aca2a004-a4fd-43d2-8385-a77335d186b2 XML
- Metadata language
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eng
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2025-02-18T10:12:40
- Metadata standard name
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CEOS IDN DIF
- Metadata standard version
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9.8.4
Overviews
Spatial extent
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