Abebe AdaneEndayilalu Getaw2022-02-182023-11-182022-02-182023-11-182021-09-16http://etd.aau.edu.et/handle/12345678/30211Water resource management absolutely depends on water resource data like rainfall and streamflow. Better quality of such data are obtained by direct measurement via interconnectedgauging instruments. Due to limited resource, gauging instruments’ distribution are not dense enough, in turn causes water resource data scarcity. Currently, Satellite rainfall estimates areavailable with good spatial and temporal resolutions. However, they are estimates rather thandirect measurements. Thus, as the study was begun to evaluate the performance of satellitebased rainfall product, TRMM_3B42; it was validated in Jemma sub-basin, and its raw andcombined version was evaluated as input of distributed type of HEC-HMS model in Gumerrowcatchment. For the achievement of the objectives, collected hydro-meteorological, satelliteremote sensing and Arc-Info data were processed with appropriate tools like R-programinglanguage, Arc-GIS model builder, HEC-HMS and others.Results also were presented usinggraphical techniques, categorical and continuous statistics, and model evaluation statistics.The Satellite based rainfall product and Ground rain-gage data were comparable except someimportant variations. In categorical rainfall values, the overall accuracy of Satellite rainfallestimate was greater than 78.7%, which was observed in Light rain type of daily timescale.However, the stated algorism has faced special difficulty in daily timescale with more falsealarms. In continuous rainfall values, Positive linear association was detected in daily, monthlyand seasonal timescales with correlation coefficient values of 0.52, 0.915 and 0.926 respectively.And an average underestimation of Satellite rainfall estimate was discovered in all timescales.Among seven HEC-HMS model parameters, Potential max retention factor (S) was obtainedas the most sensitive parameter in Gumerrow catchment. Raw Satellite rainfall estimateshowed poor performance in calibration period of (2003-2006) with NSE, PBIAS, RSR andR2 values of 0.406, 24.26%, 0.771 and 0.417 respectively. However, the performance hadimproved significantly to good enough with NSE, PBIAS, RSR and R2 values of 0.532, 14.83%,0.684 and 0.554 respectively when combined version was used as input of HEC-HMS model.Relative to calibration period, improved performance was discovered in validation periodof (2007-2008) with NSE, RSR and R2 values of 0.452, 0.74 and 0.477 respectively for rawSatellite rainfall estimate, and 0.56, 0.663 and 0.618 respectively for combined version.enJemma Sub-Basin TRMM_3b42 Combined Version Gridded DataDistributed HEC-HMS ModelThesis