How much can a priori hydrologic model predictability help in optimal merging of satellite precipitation products?

Journal of Hydrometeorology

Volumn 12, Issue 6, 2011, Pages 1287-1298

  Gebregiorgis, Abebe ^a   Hossain, Faisal ^a  

^a Tennessee Technological University   (United States)

Author keywords

Hydrologic models; Land surface model; Model errors; Optimization

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CLIMATE PREDICTION; CLOUD CLASSIFICATION; HYDROLOGICAL MODELING; LAND SURFACE; NOAA SATELLITE; OPTIMIZATION; PRECIPITATION ASSESSMENT; RUNOFF; SOIL MOISTURE; SPATIAL DISTRIBUTION; STREAMFLOW; TRMM;

EID: 84858243878     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/JHM-D-10-05023.1     Document Type: Article

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