Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Constraining Conceptual Hydrological Models With Multiple Information Sources

Remko C. Nijzink, Susana Almeida, Ilias Pechlivanidis, René Capell, D. Gustafssons, Berit Arheimer, Juraj Párajka, Jim Freer, Dawei Han, Thorsten Wagener, R.R.P. van Nooijen, H. H. G. Savenije, Markus Hrachowitz

Water Resources Research · 2018

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Summary

Abstract The calibration of hydrological models without streamflow observations is problematic, and the simultaneous, combined use of remotely sensed products for this purpose has not been exhaustively tested thus far. Our hypothesis is that the combined use of products can (1) reduce the parameter search space and (2) improve the representation of internal model dynamics and hydrological signatures. Five different conceptual hydrological models were applied to 27 catchments across Europe. A parameter selection process, similar to a likelihood weighting procedure, was applied for 1,023 possible combinations of 10 different data sources, ranging from using 1 to all 10 of these products. Distances between the two empirical distributions of model performance metrics with and without using a s

Source type
Peer-reviewed study
DOI
10.1029/2017wr021895
Catalogue ID
SNmokylya5-bb2ad1
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