A physics informed deep learning framework for rainfall forecasting in diverse climatic regions
Abstract Accurate local rainfall prediction is vital for climate-vulnerable regions such as Sindh, Pakistan, where agriculture, water management, and flood preparedness depend on reliable forecasts under highly variable hydroclimatic regimes. This study proposes a compact physics-informed neural net...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-01-01
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| coleção: | Discover Artificial Intelligence |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44163-026-00833-z |
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