2023
DOI: 10.22541/essoar.169833433.35092350/v1
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Extending GLUE with Multilevel Methods to Accelerate Statistical Inversion of Hydrological Models

Max Gustav Rudolph,
Thomas Wöhling,
Thorsten Wagener
et al.

Abstract: Inverse problems are ubiquitous in hydrological modelling for parameter estimation, system understanding, sustainable water resources management, and the operation of digital twins. While statistical inversion is especially popular, its sampling-based nature often inhibits the inversion of computationally costly models, which has compromised the use of the Generalized Likelihood Uncertainty Estimation (GLUE) methodology, e.g., for spatially distributed (partial) differential equation based models. In this stud… Show more

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