Global Diurnal Precipitation Cycle in the AI Model GraphCast and a 5‐km Unified Model: Challenges and Opportunities
Abstract This study evaluates the ability of the AI weather forecast model GraphCast to reproduce the global diurnal cycle of boreal summer precipitation, comparing it with Integrated Multi‐satellite Retrievals for GPM (IMERG) satellite observations, the ERA5 reanalysis, and an experimental global 5...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wiley
2026-05-01
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| Serie: | Geophysical Research Letters |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1029/2025GL120961 |
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