Pulse Brain · Growing Health Evidence Index
Peer-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

Abstract Estimating spatially distributed parameters remains one of the biggest challenges for large‐domain hydrologic modeling. Many large‐domain modeling efforts rely on spatially inconsistent parameter fields, e.g., patchwork patterns resulting from individual basin calibrations, parameter fields generated through default transfer functions that relate geophysical attributes to model parameters, or spatially constant, default parameter values. This paper provides an initial assessment of a multiscale parameter regionalization (MPR) method over large geographical domains to derive seamless parameters in a spatially consistent manner. MPR applies transfer functions at the native scale of the geophysical data, and then scales these model parameters to the desired model resolution. We devel

Source type
Peer-reviewed study
DOI
10.1002/2017wr020401
Catalogue ID
BFmoef2us1-h59d9o
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