- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Benefits and challenges of dynamic sea ice for weather forecasts ; volume:3 ; number:3 ; year:2022 ; pages:713-731 ; extent:19
Weather and climate dynamics ; 3, Heft 3 (2022), 713-731 (gesamt 19)
- Creator
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Day, Jonathan J.
Keeley, Sarah
Arduini, Gabriele
Magnusson, Linus
Mogensen, Kristian
Rodwell, Mark
Sandu, Irina
Tietsche, Steffen
- DOI
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10.5194/wcd-3-713-2022
- URN
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urn:nbn:de:101:1-2022071405252029039121
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:35 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Day, Jonathan J.
- Keeley, Sarah
- Arduini, Gabriele
- Magnusson, Linus
- Mogensen, Kristian
- Rodwell, Mark
- Sandu, Irina
- Tietsche, Steffen
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Evaluation of observation network benefits on short-term weather forecasts for energy-meteorology applications
Calibration of short-term sea ice concentration forecasts using deep learning
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Year-round impact of winter sea ice thickness observations on seasonal forecasts
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Probabilistic Forecasts of Arctic Sea Ice Thickness
Ice and AIS: ship speed data and sea ice forecasts in the Baltic Sea
Calibration of sea ice drift forecasts using random forest algorithms
Improving short-term sea ice concentration forecasts using deep learning
Calibration of sea ice drift forecasts using random forest algorithms
Predictability of Arctic sea ice on weather time scales
Evaluation of observation network benefits on short-term weather forecasts for energy-meteorology applications
Calibration of short-term sea ice concentration forecasts using deep learning
Year-round Impact of Winter Sea Ice Thickness Observations on Seasonal Forecasts