Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration

In this study, streamflow (Qs) and satellite-based actual evapotranspiration (ETa) are used in a multi-variable calibration framework to reproduce the catchment water balance. The application is for the HBV rainfall-runoff model at daily time-step for the Karkheh River Basin (51,000 km2) in Iran. Mo...

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Main Authors: Rientjes, T.H.M., Muthuwatta, Lal P., Bos, M.G., Booij, M.J., Bhatti, H.A.
Format: Journal Article
Language:Inglés
Published: Elsevier 2013
Subjects:
Online Access:https://hdl.handle.net/10568/40304
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author Rientjes, T.H.M.
Muthuwatta, Lal P.
Bos, M.G.
Booij, M.J.
Bhatti, H.A.
author_browse Bhatti, H.A.
Booij, M.J.
Bos, M.G.
Muthuwatta, Lal P.
Rientjes, T.H.M.
author_facet Rientjes, T.H.M.
Muthuwatta, Lal P.
Bos, M.G.
Booij, M.J.
Bhatti, H.A.
author_sort Rientjes, T.H.M.
collection Repository of Agricultural Research Outputs (CGSpace)
description In this study, streamflow (Qs) and satellite-based actual evapotranspiration (ETa) are used in a multi-variable calibration framework to reproduce the catchment water balance. The application is for the HBV rainfall-runoff model at daily time-step for the Karkheh River Basin (51,000 km2) in Iran. Monte Carlo Simulation serves to estimate parameter values and to assess uncertainty for three calibration cases. In case one streamflow is used as the calibration target. In case two satellite-based ETa is used as calibration target. For both cases model performance is evaluated for the second variable that closes the water balance. In case three a preference-based multi-variable objective function is applied which is weighted for Qs and satellite-based ETa. For cloudy days a procedure is developed to complete the daily time series of satellite-based ETa that cover 4 years. Results on multi-variable calibration indicated satisfying results for both water balance terms. Results are compared against field observations and results of single-variable calibration. For cases one and two the second variable only is poorly simulated and resulted in poor reproduction of the water balance. The most important contribution of this work is that the catchment water balance is best reproduced when both Qs and satellite-based ETa serve as calibration target.
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spelling CGSpace403042025-06-17T08:23:44Z Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration Rientjes, T.H.M. Muthuwatta, Lal P. Bos, M.G. Booij, M.J. Bhatti, H.A. hydrology models calibration stream flow data evapotranspiration river basins water balance catchment areas In this study, streamflow (Qs) and satellite-based actual evapotranspiration (ETa) are used in a multi-variable calibration framework to reproduce the catchment water balance. The application is for the HBV rainfall-runoff model at daily time-step for the Karkheh River Basin (51,000 km2) in Iran. Monte Carlo Simulation serves to estimate parameter values and to assess uncertainty for three calibration cases. In case one streamflow is used as the calibration target. In case two satellite-based ETa is used as calibration target. For both cases model performance is evaluated for the second variable that closes the water balance. In case three a preference-based multi-variable objective function is applied which is weighted for Qs and satellite-based ETa. For cloudy days a procedure is developed to complete the daily time series of satellite-based ETa that cover 4 years. Results on multi-variable calibration indicated satisfying results for both water balance terms. Results are compared against field observations and results of single-variable calibration. For cases one and two the second variable only is poorly simulated and resulted in poor reproduction of the water balance. The most important contribution of this work is that the catchment water balance is best reproduced when both Qs and satellite-based ETa serve as calibration target. 2013-11 2014-06-13T14:47:21Z 2014-06-13T14:47:21Z Journal Article https://hdl.handle.net/10568/40304 en Limited Access Elsevier Rientjes, T. H. M.; Muthuwatta, Lal P.; Bos, M. G.; Booij, M. J.; Bhatti, H. A. 2013. Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration. Journal of Hydrology, 505:276-290. doi: https://doi.org/10.1016/j.jhydrol.2013.10.006
spellingShingle hydrology
models
calibration
stream flow
data
evapotranspiration
river basins
water balance
catchment areas
Rientjes, T.H.M.
Muthuwatta, Lal P.
Bos, M.G.
Booij, M.J.
Bhatti, H.A.
Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration
title Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration
title_full Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration
title_fullStr Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration
title_full_unstemmed Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration
title_short Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration
title_sort multi variable calibration of a semi distributed hydrological model using streamflow data and satellite based evapotranspiration
topic hydrology
models
calibration
stream flow
data
evapotranspiration
river basins
water balance
catchment areas
url https://hdl.handle.net/10568/40304
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