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Constraining conceptual hydrological models with multiple information sources

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Constraining conceptual hydrological models with multiple information sources. / Nijzink, R.; Almeida, Susana; Pechlivanidis, Ilias; Capell, R; Gustafssons, D; Arheimer, B; Parajka, J; Freer, Jim; Han, Dawei; Wagener, Thorsten; R R P, van Nooijen; Savenije, H. H. G.; Hrachowitz, M.

In: Water Resources Research, 27.10.2018.

Research output: Contribution to journalArticle

Harvard

Nijzink, R, Almeida, S, Pechlivanidis, I, Capell, R, Gustafssons, D, Arheimer, B, Parajka, J, Freer, J, Han, D, Wagener, T, R R P, VN, Savenije, HHG & Hrachowitz, M 2018, 'Constraining conceptual hydrological models with multiple information sources', Water Resources Research. https://doi.org/10.1029/2017WR021895

APA

Nijzink, R., Almeida, S., Pechlivanidis, I., Capell, R., Gustafssons, D., Arheimer, B., ... Hrachowitz, M. (2018). Constraining conceptual hydrological models with multiple information sources. Water Resources Research. https://doi.org/10.1029/2017WR021895

Vancouver

Nijzink R, Almeida S, Pechlivanidis I, Capell R, Gustafssons D, Arheimer B et al. Constraining conceptual hydrological models with multiple information sources. Water Resources Research. 2018 Oct 27. https://doi.org/10.1029/2017WR021895

Author

Nijzink, R. ; Almeida, Susana ; Pechlivanidis, Ilias ; Capell, R ; Gustafssons, D ; Arheimer, B ; Parajka, J ; Freer, Jim ; Han, Dawei ; Wagener, Thorsten ; R R P, van Nooijen ; Savenije, H. H. G. ; Hrachowitz, M. / Constraining conceptual hydrological models with multiple information sources. In: Water Resources Research. 2018.

Bibtex

@article{10dc3e38cb534a59adf7147fb7601b3c,
title = "Constraining conceptual hydrological models with multiple information sources",
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 1023 possible combinations of ten 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 specific product, were determined to assess the added value of a specific product. In a similar way, the performance of the models to reproduce 27 hydrological signatures was evaluated relative to the unconstrained model.Significant reductions in the parameter space were obtained when combinations included AMSR‐E and ASCAT soil moisture, GRACE total water storage anomalies, as well as, in snow dominated catchments, the MODIS snow cover products. The evaporation products of LSA‐SAF and MOD16 were less effective for deriving meaningful, well constrained posterior parameter distributions. The hydrological signature analysis indicated that most models profited from constraining with an increasing number of data sources.Concluding, constraining models with multiple data sources simultaneously was shown to be valuable for at least four of the five hydrological models to determine model parameters in absence of streamflow.",
keywords = "hydrological modeling, calibration, remote sensing, parameter estimation",
author = "R. Nijzink and Susana Almeida and Ilias Pechlivanidis and R Capell and D Gustafssons and B Arheimer and J Parajka and Jim Freer and Dawei Han and Thorsten Wagener and {R R P}, {van Nooijen} and Savenije, {H. H. G.} and M Hrachowitz",
year = "2018",
month = "10",
day = "27",
doi = "10.1029/2017WR021895",
language = "English",
journal = "Water Resources Research",
issn = "0043-1397",
publisher = "American Geophysical Union",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Constraining conceptual hydrological models with multiple information sources

AU - Nijzink, R.

AU - Almeida, Susana

AU - Pechlivanidis, Ilias

AU - Capell, R

AU - Gustafssons, D

AU - Arheimer, B

AU - Parajka, J

AU - Freer, Jim

AU - Han, Dawei

AU - Wagener, Thorsten

AU - R R P, van Nooijen

AU - Savenije, H. H. G.

AU - Hrachowitz, M

PY - 2018/10/27

Y1 - 2018/10/27

N2 - 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 1023 possible combinations of ten 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 specific product, were determined to assess the added value of a specific product. In a similar way, the performance of the models to reproduce 27 hydrological signatures was evaluated relative to the unconstrained model.Significant reductions in the parameter space were obtained when combinations included AMSR‐E and ASCAT soil moisture, GRACE total water storage anomalies, as well as, in snow dominated catchments, the MODIS snow cover products. The evaporation products of LSA‐SAF and MOD16 were less effective for deriving meaningful, well constrained posterior parameter distributions. The hydrological signature analysis indicated that most models profited from constraining with an increasing number of data sources.Concluding, constraining models with multiple data sources simultaneously was shown to be valuable for at least four of the five hydrological models to determine model parameters in absence of streamflow.

AB - 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 1023 possible combinations of ten 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 specific product, were determined to assess the added value of a specific product. In a similar way, the performance of the models to reproduce 27 hydrological signatures was evaluated relative to the unconstrained model.Significant reductions in the parameter space were obtained when combinations included AMSR‐E and ASCAT soil moisture, GRACE total water storage anomalies, as well as, in snow dominated catchments, the MODIS snow cover products. The evaporation products of LSA‐SAF and MOD16 were less effective for deriving meaningful, well constrained posterior parameter distributions. The hydrological signature analysis indicated that most models profited from constraining with an increasing number of data sources.Concluding, constraining models with multiple data sources simultaneously was shown to be valuable for at least four of the five hydrological models to determine model parameters in absence of streamflow.

KW - hydrological modeling

KW - calibration

KW - remote sensing

KW - parameter estimation

U2 - 10.1029/2017WR021895

DO - 10.1029/2017WR021895

M3 - Article

JO - Water Resources Research

JF - Water Resources Research

SN - 0043-1397

ER -