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Abstract: The Role of Uncertainty Quantification Algorithms in Deep Neural Network Models for Flood Prediction (AGU25)

The Role of Uncertainty Quantification Algorithms in Deep Neural Network Models for Flood Prediction

Mostafa Saberian, Clemson University, Department of Civil Engineering, Clemson, United States, Vidya Samadi, Clemson University, Department of Agricultural Sciences, Clemson, SC, United States, Thorsten Wagener, University of Potsdam, Institute of Environmental Science and Geography, Potsdam, Germany and Ioana Popescu, Delft University of Technology, Civil Engineering and Geosciences, Delft, Netherlands
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