Published on 27 January 2024
Interpretable Deep Convolutional Neural Network-based Surrogates for Complex Urban Hydrodynamic Modeling using Random Chaotic Rainfall
View DatasetBo Pang - Hydrology Research Group
Description
This data is part of the article "Interpretable Deep Convolutional Neural Network-based Surrogates for Complex Urban Hydrodynamic Modeling using. Random Chaotic Rainfall "data for model training and validation, as well as a dynamic runoff range generated by DHMUrban
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Metrics Over Time
Publication Details
Subfield
Global and Planetary Change
Field
Environmental Science
Domain
Physical Sciences
Confidence Score
99%
Source
Open Alex