Quantifying Sources of Subseasonal Prediction Skill in CESM2 Within a Perfect Modeling Framework
Abstract The success of numerical weather prediction depends on accurate atmospheric initialization, but at subseasonal lead times, land and ocean initial states become increasingly important. Predictability on these timescales arises from slowly evolving land surface conditions such as soil moistur...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Wiley
2026-04-01
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| Serier: | Geophysical Research Letters |
| Fag: | |
| Online adgang: | https://doi.org/10.1029/2025GL120435 |
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