September 1, 2021 Thesis Open Access

MINTIWAB ADDIS ALEMAYEHU

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  <identifier identifierType="DOI">10.20372/nadre:4006</identifier>
  <creators>
    <creator>
      <creatorName>MINTIWAB ADDIS ALEMAYEHU</creatorName>
    </creator>
  </creators>
  <titles>
    <title>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</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-09-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Thesis</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://nadre.ethernet.edu.et/record/4006</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.20372/nadre:4005</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://nadre.ethernet.edu.et/communities/aastu</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://nadre.ethernet.edu.et/communities/zenodo</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&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;</description>
  </descriptions>
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