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Abstract: Testing the robustness of deep learning-based rainfall-runoff models using a climatologically derived perturbation experiment (AGU25)

Testing the robustness of deep learning-based rainfall-runoff models using a climatologically derived perturbation experiment

Aldo Tapia Araya, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, United States, Laura E Condon, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Andrew Bennett, University of Arizona, Department of Hydrology & Atmospheric Sciences, Tucson, AZ, United States
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