EVALUATING THE PERFORMANCE OF SATELLITE RAINFALL PRODUCTS IN UPPER GILGEL ABAY CATCHMENT, BLUE NILE BASIN, ETHIOPIA

Abstract

Evaluation of performances of satellite rainfall estimates (SREs) for representing the
spatial and temporal variability of rainfall in data-poor catchments such as Upper
Gilgel Abay is vital. Hence, the focus of this study was to test the effectiveness of
satellite rainfall estimates at high spatial and temporal resolutions in Upper Gilgel
Abay Catchment. The study period of 2006-2010 was used for downloading the 1-hr
temporal and 8 km × 8 km spatial resolution CMORPH (Climate Prediction Centre
Morphing Method) data (selected from SREs). For correcting the systematic biases, time
and space variant bias correction algorithm was applied for a time window of 7 days
and a minimum rain accumulation of 5 mm within these days. Bias correction selected
for this study aimed at correcting both in space and time domains. Based on the
findings of this study, CMORPH underestimates rainfall up to 18% during the analysis
period (2006-2010). Spatially, there are clear variations on the performance of
CMORPH across rain gauging stations.