AI‐Based Tropical Cyclone Rainfall Forecasting in the Philippines Using Machine Learning
ABSTRACT The Philippines is frequently affected by tropical cyclones (TCs). Among the TC‐associated hazards, rainfall can lead to cascading impacts such as floods and landslides. A robust and computationally inexpensive TC rainfall forecasting method is critical in disaster preparation and risk redu...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-07-01
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| Series: | Meteorological Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/met.70083 |
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