climate-05-00032-v2.pdf (2.84 MB)
Application of Satellite-Based Precipitation Estimates to Rainfall-Runoff Modelling in a Data-Scarce Semi-Arid Catchment
journal contributionposted on 2017-07-05, 14:16 authored by Peshawa M. Najmaddin, Mick J. Whelan, Heiko Balzter
Rainfall-runoff modelling is a useful tool for water resources management. This study presents a simple daily rainfall-runoff model, based on the water balance equation, which we apply to the 11,630 km2 Lesser Zab catchment in northeast Iraq. The model was forced by either observed daily rain gauge data from four stations in the catchment or satellite-derived rainfall estimates from two TRMM Multi-satellite Precipitation Analysis (TMPA) data products (TMPA-3B42 and 3B42RT) based on the Tropical Rainfall Measuring Mission (TRMM) from 2003 to 2014. As well as using raw TMPA data, we used a bias-correction method to adjust TMPA values based on rain gauge data. The uncorrected TMPA data products underestimated observed mean catchment rainfall by −10.1% and −10.7%. Corrected data also slightly underestimated gauged rainfall by −0.7% and −1.6%, respectively. Nash-Sutcliffe Efficiency (NSE) and Pearson’s Correlation Coefficient (r) for the model fit with the observed hydrograph were 0.75 and 0.87, respectively, for a calibration period (2010–2011) using gauged rainfall data. Model validation performance (2012–2014) was best (highest NSE and r; lowest RMSE and bias) using the corrected 3B42 data product and poorest when driven by uncorrected 3B42RT data. Uncertainty and equifinality were also explored. Our results suggest that TRMM data can be used to drive rainfall-runoff modelling in semi-arid catchments, particularly when corrected using rain gauge data.
This research was funded via a scholarship from the Higher Committee for Education Development in Iraq (HCED) with support from the NERC National Centre for Earth Observation. We are grateful to the Hydrology Department of the Dukan Dam Directorate for providing river discharge data and to the Directorate of Meteorology in Sulaimanyiah for providing meteorological data. HB was supported by a Royal Society Wolfson Research Merit Award (2011/R3) and MW benefitted from Study Leave granted by the University of Leicester
CitationClimate, 2017, 5 (2), pp. 32-32
Author affiliation/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Geography/GIS and Remote Sensing
- VoR (Version of Record)