Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Towards seamless large‐domain parameter estimation for hydrologic models

Naoki Mizukami, Martyn Clark, Andrew J. Newman, Andrew W. Wood, E. D. Gutmann, Bart Nijssen, Oldřich Rakovec, Luis Samaniego

Water Resources Research · 2017

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Summary

This paper presents an initial assessment of the multiscale parameter regionalisation (MPR) method for large-domain hydrologic modelling, addressing the challenge of estimating spatially distributed parameters across entire regions. The authors developed MPR-flex, a framework applied to the contiguous United States using 531 independently calibrated basins as performance benchmarks. The results indicate that joint MPR calibration can achieve performance comparable to previous patchwork approaches whilst producing spatially seamless and consistent parameter fields, though further refinements to basin selection, objective functions, and transfer function formulations are identified as opportunities for improvement.

UK applicability

Whilst this study focuses on United States hydrology, the methodological framework and parameter regionalisation approach could inform UK hydrologic modelling efforts, particularly for large-scale water resource assessments and flood forecasting. The emphasis on spatially consistent parameter estimation across heterogeneous landscapes may be relevant to UK basin characterisation and distributed hydrologic model applications.

Key measures

Hydrologic model performance metrics; basin-scale calibration benchmarks across 531 basins; spatial consistency of parameter fields; transfer function parameters derived from joint calibration

Outcomes reported

The study assessed the performance of a multiscale parameter regionalisation (MPR) method for deriving spatially consistent hydrologic model parameters across the contiguous United States. Results demonstrated that CONUS-wide calibration using MPR achieved comparable performance to patchwork calibrations whilst eliminating spatial discontinuities in parameter fields.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
United States
System type
Other
DOI
10.1002/2017wr020401
Catalogue ID
BFmor3gf2d-r9il7o

Topic tags

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