• Sorted by Date • Sorted by Last Name of First Author •
Nijzink, R. C., Almeida, S., Pechlivanidis, I. G., Capell, R., Gustafssons, D., Arheimer, B., Parajka, J., Freer, J., Han, D., Wagener, T., van Nooijen, R. R. P., Savenije, H. H. G., and Hrachowitz, M., 2018. Constraining Conceptual Hydrological Models With Multiple Information Sources. Water Resources Research, 54(10):8332–8362, doi:10.1029/2017WR021895.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2018WRR....54.8332N,
author = {{Nijzink}, R.~C. and {Almeida}, S. and {Pechlivanidis}, I.~G. and {Capell}, R. and {Gustafssons}, D. and {Arheimer}, B. and {Parajka}, J. and {Freer}, J. and {Han}, D. and {Wagener}, T. and {van Nooijen}, R.~R.~P. and {Savenije}, H.~H.~G. and {Hrachowitz}, M.},
title = "{Constraining Conceptual Hydrological Models With Multiple Information Sources}",
journal = {Water Resources Research},
keywords = {hydrological modeling, calibration, remote sensing, parameter estimation},
year = 2018,
month = oct,
volume = {54},
number = {10},
pages = {8332-8362},
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 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 Advanced
Microwave Scanning Radiometer - Earth Observing System and
Advanced Scatterometer soil moisture, Gravity Recovery and
Climate Experiment total water storage anomalies, and, in snow-
dominated catchments, the Moderate Resolution Imaging
Spectroradiometer snow cover products. The evaporation products
of Land Surface Analysis - Satellite Application Facility 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.}",
doi = {10.1029/2017WR021895},
adsurl = {https://ui.adsabs.harvard.edu/abs/2018WRR....54.8332N},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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