Kohonen self-organizing map estimator for the reference crop evapotranspiration

Water Resources Research

Volumn 47, Issue 8, 2011, Pages

  Adeloye, Adebayo J ^a   Rustum, Rabee ^b   Kariyama, Ibrahim D ^c  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b IMAM ABDULRAHMAN BIN FAISAL UNIVERSITY   (Saudi Arabia)

^c Wa Polytechnic   (Ghana)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK MODELS; CLIMATIC VARIABLES; CROP EVAPOTRANSPIRATION; CROP WATER REQUIREMENTS; DIRECT AND INDIRECT METHODS; DIRECT MEASUREMENT METHOD; EDINBURGH , UK; FOOD AND AGRICULTURAL ORGANIZATIONS; INDIRECT METHODS; INPUT VARIABLES; IRRIGATION WATER MANAGEMENT; KOHONEN SELF-ORGANIZING MAPS; MULTIDIMENSIONAL DATA; PENMAN-MONTEITH; RAINFALL-RUNOFF MODELING; WEATHER DATA; WEATHER INPUTS;

CATCHMENTS; CONFORMAL MAPPING; DEVELOPING COUNTRIES; ESTIMATION; EVAPOTRANSPIRATION; IRRIGATION; METEOROLOGY; NEURAL NETWORKS; RAIN; RUNOFF; SCHEDULING; WATER MANAGEMENT; WATER SUPPLY;

CROPS;

ARTIFICIAL NEURAL NETWORK; DEVELOPING WORLD; EVAPOTRANSPIRATION; IRRIGATION SYSTEM; PENMAN-MONTEITH EQUATION; PRECISION; RAINFALL-RUNOFF MODELING; SELF ORGANIZATION; STANDARD (REFERENCE); WATER MANAGEMENT; WATER RESOURCE; WATER USE; WEATHER FORECASTING;

EDINBURGH [SCOTLAND]; INDIA; RAJASTHAN; SCOTLAND; UDAIPUR; UNITED KINGDOM;

EID: 80052072652     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011WR010690     Document Type: Article

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