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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...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Syed Azeem Inam, Saddam Umer, Haider Rajput
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Springer 2026-01-01
Rangatū:Discover Artificial Intelligence
Ngā marau:
Urunga tuihono:https://doi.org/10.1007/s44163-026-00833-z
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