Thesis Open Access
MINTIWAB ADDIS ALEMAYEHU
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <controlfield tag="005">20240920125935.0</controlfield> <controlfield tag="001">2217</controlfield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">4327713</subfield> <subfield code="z">md5:70755624b9dab1c7c583bbf7c7fa5fd3</subfield> <subfield code="u">https://zenodo.org/record/2217/files/f1058047760_Page_104.pdf</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2021-09-01</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:zenodo.org:2217</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">MINTIWAB ADDIS ALEMAYEHU</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <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> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">http://www.opendefinition.org/licenses/cc-by</subfield> <subfield code="a">Creative Commons Attribution</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>Hydrological data inadequacy at ungauged watersheds has been a problem for modelling the water resources of Omo-Gibe Basin, Ethiopia. Climate Forecast and System Reanalysis (CFSR) Satellite climate products can be utilized as an alternative source of climate data in such regions where the usual ground observed climate data are insufficient. Therefore, the aim of this study was to evaluate the hydrological performance of CFSR weather data as an input to the HBV-Light hydrological model over the Omo-Gibe River Basin, Ethiopia. The evaluation was executed in three different steps. Initially, the CFSR data was compared to ground climate data using efficiency descriptors (ENS, 𝑅2, PBIAS) and categorical statistics (Probability of Detection and False Alarm Ratio) for the same time window of 1987 to 2010. Secondly, the runoff predictive performance of the CFSR driven HBV -Light model was calibrated and validated at gauged catchments.</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.20372/nadre:2216</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.20372/nadre:2217</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">thesis</subfield> </datafield> </record>
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