September 1, 2021 Thesis Open Access

MINTIWAB ADDIS ALEMAYEHU

Citation Style Language JSON Export

{
  "DOI": "10.20372/nadre:4006", 
  "author": [
    {
      "family": "MINTIWAB ADDIS ALEMAYEHU"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2021, 
        9, 
        1
      ]
    ]
  }, 
  "abstract": "<p>Hydrological data inadequacy at ungauged watersheds has been a problem for<br>\nmodeling the water resources of Omo-Gibe Basin, Ethiopia. Climate Forecast and<br>\nSystem Reanalysis (CFSR) Satellite climate products can be utilized as an alternative<br>\nsource of climate data in such regions where the usual ground observed climate data<br>\nare insufficient. Therefore, the aim of this study was to evaluate the hydrological<br>\nperformance of CFSR weather data as an input to the HBV-Light hydrological model<br>\nover the Omo-Gibe River Basin, Ethiopia. The evaluation was executed in three<br>\ndifferent steps. Initially, the CFSR data was compared to ground climate data using<br>\nefficiency descriptors (ENS, \ud835\udc452 , PBIAS) and categorical statistics (Probability of<br>\nDetection and False Alarm Ratio) for the same time window of 1987 to 2010. Secondly,<br>\nthe runoff predictive performance of the CFSR driven HBV -Light model was<br>\ncalibrated and validated at gauged catchments. Finally, streamflow was generated at<br>\nungauged catchments through the method of regionalization. The soil descriptors (Soil<br>\npermeability, Soil available water content, Soil bulk density), vegetation descriptors<br>\n(NDVI) and topographical descriptors were some of the data used in this study</p>", 
  "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", 
  "type": "thesis", 
  "id": "4006"
}