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Open AccessArticle

Computationally Efficient Multivariate Calibration and Validation of a Grid-Based Hydrologic Model in Sparsely Gauged West African River Basins

1
Department of Geography, University of Bonn, Meckenheimer Allee 166, 53115 Bonn, Germany
2
UFZ—Helmholtz Centre for Environmental Research, 04318 Leipzig, Germany
*
Author to whom correspondence should be addressed.
Water 2018, 10(10), 1418; https://doi.org/10.3390/w10101418
Received: 6 September 2018 / Revised: 2 October 2018 / Accepted: 8 October 2018 / Published: 10 October 2018
The prediction of freshwater resources remains a challenging task in West Africa, where the decline of in situ measurements has a detrimental effect on the quality of estimates. In this study, we establish a series of modeling routines for the grid-based mesoscale Hydrologic Model (mHM) using Multiscale Parameter Regionalization (MPR). We provide a computationally efficient application of mHM-MPR across a diverse range of data-scarce basins using in situ observations, remote sensing, and reanalysis inputs. Model performance was first screened for four precipitation datasets and three evapotranspiration calculation methods. Subsequently, we developed a modeling framework in which the pre-screened model is first calibrated using discharge as the observed variable (mHM Q), and next calibrated using a combination of discharge and actual evapotranspiration data (mHM Q/ET). Both model setups were validated in a multi-variable evaluation framework using discharge, actual evapotranspiration, soil moisture and total water storage data. The model performed reasonably well, with mean discharge KGE values of 0.53 (mHM Q) and 0.49 (mHM Q/ET) for the calibration; and 0.23 (mHM Q) and 0.13 (mHM Q/ET) for the validation. Other tested variables were also within a good predictive range. This further confirmed the robustness and well-represented spatial distribution of the hydrologic predictions. Using MPR, the calibrated model can then be scaled to produce outputs at much smaller resolutions. Overall, our analysis highlights the worth of utilizing additional hydrologic variables (together with discharge) for the reliable application of a distributed hydrologic model in sparsely gauged West African river basins. View Full-Text
Keywords: mHM; remote sensing; GRACE total water storage; MODIS/GLEAM evapotranspiration; modeling framework mHM; remote sensing; GRACE total water storage; MODIS/GLEAM evapotranspiration; modeling framework
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MDPI and ACS Style

Poméon, T.; Diekkrüger, B.; Kumar, R. Computationally Efficient Multivariate Calibration and Validation of a Grid-Based Hydrologic Model in Sparsely Gauged West African River Basins. Water 2018, 10, 1418. https://doi.org/10.3390/w10101418

AMA Style

Poméon T, Diekkrüger B, Kumar R. Computationally Efficient Multivariate Calibration and Validation of a Grid-Based Hydrologic Model in Sparsely Gauged West African River Basins. Water. 2018; 10(10):1418. https://doi.org/10.3390/w10101418

Chicago/Turabian Style

Poméon, Thomas; Diekkrüger, Bernd; Kumar, Rohini. 2018. "Computationally Efficient Multivariate Calibration and Validation of a Grid-Based Hydrologic Model in Sparsely Gauged West African River Basins" Water 10, no. 10: 1418. https://doi.org/10.3390/w10101418

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