September 1, 2021 Thesis Open Access

MINTIWAB ADDIS ALEMAYEHU

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    <subfield code="a">EVALUATION OF CLIMATE FORECAST AND SYSTEM REANALYSIS SATELLITE WEATHER DATA FOR THE PREDICTION IN THE UNGAUGED BASIN: CASE STUDY OF OMO-GIBE RIVER BASIN, ETHIOPIA</subfield>
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    <subfield code="a">&lt;p&gt;Hydrological data inadequacy at ungauged watersheds has been a problem for&lt;br&gt;
modeling the water resources of Omo-Gibe Basin, Ethiopia. Climate Forecast and&lt;br&gt;
System Reanalysis (CFSR) Satellite climate products can be utilized as an alternative&lt;br&gt;
source of climate data in such regions where the usual ground observed climate data&lt;br&gt;
are insufficient. Therefore, the aim of this study was to evaluate the hydrological&lt;br&gt;
performance of CFSR weather data as an input to the HBV-Light hydrological model&lt;br&gt;
over the Omo-Gibe River Basin, Ethiopia. The evaluation was executed in three&lt;br&gt;
different steps. Initially, the CFSR data was compared to ground climate data using&lt;br&gt;
efficiency descriptors (ENS, 𝑅2 , PBIAS) and categorical statistics (Probability of&lt;br&gt;
Detection and False Alarm Ratio) for the same time window of 1987 to 2010. Secondly,&lt;br&gt;
the runoff predictive performance of the CFSR driven HBV -Light model was&lt;br&gt;
calibrated and validated at gauged catchments. Finally, streamflow was generated at&lt;br&gt;
ungauged catchments through the method of regionalization. The soil descriptors (Soil&lt;br&gt;
permeability, Soil available water content, Soil bulk density), vegetation descriptors&lt;br&gt;
(NDVI) and topographical descriptors were some of the data used in this study&lt;/p&gt;</subfield>
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