Accelerating flood warnings by 10 hours: the power of river network topology in AI-enhanced flood forecasting
Abstract The increasing frequency and intensity of floods, exacerbated by climate change, necessitates the development of accurate and timely flood forecasting models. Although AI-based approaches have demonstrated promise, the effectiveness of graph neural networks (GNNs) in modeling the intricate...
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| Main Authors: | Hongjun Wang, Jiyuan Chen, Yinqiang Zheng, Xuan Song |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | npj Natural Hazards |
| Online Access: | https://doi.org/10.1038/s44304-025-00083-6 |
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