Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models
<p>Compound flood (CF) modeling enables the simulation of nonlinear water level dynamics in which concurrent or successive flood drivers synergize, producing larger impacts than those from individual drivers. However, CF modeling is subject to four main sources of uncertainty: (i) the initial...
| الحاوية / القاعدة: | Hydrology and Earth System Sciences |
|---|---|
| المؤلفون الرئيسيون: | , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Copernicus Publications
2024-06-01
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| الوصول للمادة أونلاين: | https://hess.copernicus.org/articles/28/2531/2024/hess-28-2531-2024.pdf |