Bayesian LSTM With Stochastic Variational Inference for Estimating Model Uncertainty in Process‐Based Hydrological Models
Author:
Affiliation:
1. College of Hydrology and Water Resources Hohai University Nanjing China
2. Water Research Centre School of Civil and Environmental Engineering University of New South Wales Sydney NSW Australia
Funder
Fundamental Research Funds for the Central Universities
China Scholarship Council
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR029772
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