Impacts of Uncontrolled Operator Splitting Methods on Parameter Identification, Prediction Uncertainty, and Subsurface Flux Representation in Conceptual Hydrological Models

Impacts of Uncontrolled Operator Splitting Methods on Parameter Identification, Prediction Uncertainty, and Subsurface Flux Representation in Conceptual Hydrological Models

Abstract The proper numerical representation of physical processes in mechanistic hydrological models is essential to produce robust predictions. A common problem with numerical schemes in hydrological models is that multiple concurrent fluxes are calculated sequentially. Although the importance of...

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Bibliographic Details
Main Authors: Befekadu Taddesse Woldegiorgis, Helen Baulch, Howard Wheater, Jill Crossman, Martyn Clark, Tricia Stadnyk, Ajay Bajracharya
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:Water Resources Research
Subjects:
time‐invariant parameter identifiability
HYPE
predictive uncertainty
baseflow index
model fidelity
Online Access:https://doi.org/10.1029/2022WR033250
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https://doi.org/10.1029/2022WR033250

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