Deriving spatially distributed precipitation data using the artificial neural network and multilinear regression models

Journal of Hydrologic Engineering

Volumn 18, Issue 2, 2013, Pages 194-205

  Sharma, Suresh ^a   Isik, Sabahattin ^b   Srivastava, Puneet ^a   Kalin, Latif ^b  

^a AUBURN UNIVERSITY   (United States)

^b AUBURN UNIVERSITY   (United States)

Author keywords

Artificial neural network; Hydrologic modeling; Multilinear regression; Next Generation Weather Radar (NEXRAD); Precipitation; Soil and watershed assessment tool (SWAT)

Indexed keywords

CALIBRATION AND VALIDATIONS; FRONTAL PRECIPITATION; HYDROLOGIC MODELING; MULTI-LINEAR REGRESSION; MULTILINEAR REGRESSION MODEL; NEXT-GENERATION WEATHER RADAR (NEXRAD); SOIL AND WATER ASSESSMENT TOOLS; WATERSHED ASSESSMENT;

DROUGHT; FLOW SIMULATION; GAGES; METEOROLOGICAL RADAR; NEURAL NETWORKS; PRECIPITATION (CHEMICAL); RAIN GAGES; REGRESSION ANALYSIS; STREAM FLOW; WATERSHEDS;

SPATIAL DISTRIBUTION;

ARTIFICIAL NEURAL NETWORK; CALIBRATION; HYDROLOGICAL MODELING; MASS BALANCE; MODEL VALIDATION; MULTIPLE REGRESSION; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); RAINGAUGE; SPATIAL DISTRIBUTION; STREAMFLOW; WATERSHED; WET SEASON;

ALABAMA; UNITED STATES;

EID: 84881330772     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000617     Document Type: Article

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