Uncertainty estimation and error correction for multi-gauge water resource models

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Authors: Shaun Sh Kim, Justin D. Hughes, Julien Lerat, Dom Regan-Beasley
Cited by: 1
References: 46

Abstract

• A practical framework is developed to estimate uncertainty in water resource models. • The framework generates many model realisations using plausible flow perturbations. • The approach simultaneously corrects flow predictions and quantifies uncertainty. • The framework is tested using three candidate non-parametric approaches. • The k-means clustering approach demonstrated the best overall fit and reliability.

Fields of Study & Subjects

Hydrology and Watershed Management Studies Water resources management and optimization Groundwater flow and contamination studies

Publication details

Journal / source
Journal of Hydrology
Publisher
Elsevier BV
Volume
677
Pages
135797–135797
Publication date
30 May 2026
Language
EN