Brief communication: Training of AI-based nowcasting models for rainfall early warning should take into account user requirements
<p>In the field of precipitation nowcasting, deep learning (DL) has emerged as an alternative to conventional tracking and extrapolation techniques. However, DL struggles to adequately predict heavy precipitation, which is essential in early warning. By taking into account specific user requir...
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| Main Authors: | G. Ayzel, M. Heistermann |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-01-01
|
| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://nhess.copernicus.org/articles/25/41/2025/nhess-25-41-2025.pdf |
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