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Articles | Volume 24, issue 10
https://doi.org/10.5194/nhess-24-3537-2024
https://doi.org/10.5194/nhess-24-3537-2024
Research article
 | 
17 Oct 2024
Research article |  | 17 Oct 2024

Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds

Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, and Eunsaem Cho

Data sets

mpakdehi/ANN_MLP-flood-depth-model: ANN_MLP-flood-depth-model (ANN_MLP-flood-depth-model) Maryam Pakdehi https://doi.org/10.5281/zenodo.13924231

Model code and software

ANN_MLP-flood-depth-model Maryam Pakdehi https://github.com/mpakdehi/ANN_MLP-flood-depth-model

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Short summary
Machine learning (ML) algorithms have increasingly received attention for modeling flood events....
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