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Machine Learning-based Downscaling of Hydrological parameters
September 2018 - Present
A leading study in the application of Artificial Neural Network and Deep Learning to Downsample (improve the spatial resolution of) Storage Coefficients and Storage Changes.
Visualization of ANN model for downscaling Storage Coefficients based on the input data carefully chosen
(a) Before applying the ANN (b) After applying the ANN
Correlation between observed and modeled data
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