Toward Improved Probabilistic Predictions for Flood Forecasts Generated Using Deterministic Models
Author:
Affiliation:
1. College of Hydrology and Water Resources Hohai University Nanjing China
2. Department of Hydrology and Atmospheric Sciences University of Arizona Tucson AZ USA
Funder
National Natural Science Foundation of China
National Basic Research Program of China
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR025477
Reference64 articles.
1. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
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