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Hydrology 2017, 4(1), 13; doi:10.3390/hydrology4010013

Evaluating Global Reanalysis Datasets as Input for Hydrological Modelling in the Sudano-Sahel Region

School of Geography, University of Leeds, Leeds LS2 9JT, UK
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Academic Editor: Luca Brocca
Received: 2 December 2016 / Revised: 9 February 2017 / Accepted: 10 February 2017 / Published: 16 February 2017
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Abstract

This paper investigates the potential of using global reanalysis datasets as input for hydrological modelling in the data-scarce Sudano-Sahel region. To achieve this, we used two global atmospheric reanalyses (Climate Forecasting System Reanalysis and European Center for Medium-Range Weather Forecasts (ECMWF) ERA-Interim) datasets and one global meteorological forcing dataset WATCH Forcing Data methodology applied to ERA-Interim (WFDEI). These datasets were used to drive the Soil and Water Assessment Tool (SWAT) in the Logone catchment in the Lake Chad basin. Model performance indicators after calibration showed that, at daily and monthly time steps, only WFDEI produced Nash Sutcliff Efficiency (NSE) and Coefficient of Determination (R2) values above 0.50. Despite a general underperformance compared to WFDEI, CFSR performed better than the ERA-Interim. Model uncertainty analysis after calibration showed that more than 60% of all daily and monthly observed streamflow values at all hydrometric stations were bracketed within the 95 percent prediction uncertainty (95PPU) range for all datasets. Results from this study also show significant differences in simulated actual evapotranspiration estimates from the datasets. Overall results showed that biased corrected WFDEI outperformed the two reanalysis datasets; meanwhile CFSR performed better than the ERA-Interim. We conclude that, in the absence of gauged hydro-meteorological data, WFDEI and CFSR could be used for hydrological modelling in data-scarce areas such as the Sudano-Sahel region. View Full-Text
Keywords: reanalysis; SWAT; CFSR; ERA-Interim; WFDEI; Logone catchment; Sudano-Sahel reanalysis; SWAT; CFSR; ERA-Interim; WFDEI; Logone catchment; Sudano-Sahel
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Nkiaka, E.; Nawaz, N.R.; Lovett, J.C. Evaluating Global Reanalysis Datasets as Input for Hydrological Modelling in the Sudano-Sahel Region. Hydrology 2017, 4, 13.

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