Assimilating Summer Sea‐Ice Thickness Observations Improves Arctic Sea‐Ice Forecast
Abstract Accurate Arctic sea‐ice forecasting for the melt season is still a major challenge because of the lack of reliable pan‐Arctic summer sea‐ice thickness (SIT) data. A new summer CryoSat‐2 SIT observation data set based on an artificial intelligence algorithm may alleviate this situation. We a...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2024-07-01
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| coleção: | Geophysical Research Letters |
| Acesso em linha: | https://doi.org/10.1029/2024GL110405 |
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