A Machine Learning-Based Parameterized Tropical Cyclone Precipitation Model
Abstract Current simulation models considerably underestimate local-scale, short-duration extreme precipitation induced by tropical cyclones (TCs). This problem needs to be addressed to establish active response policies for TC-induced disasters. Taking Shanghai, a coastal megacity, as a study area...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-12-01
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| Series: | International Journal of Disaster Risk Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s13753-024-00606-1 |
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