Modeling of daily pan evaporation using partial least squares regression

Science China Technological Sciences

Volumn 54, Issue 1, 2011, Pages 163-174

  Abudu, Shalamu ^a,b   Cui, Chunliang ^a   King, J Phillip ^b   Moreno, Jimmy ^b   Bawazir, A Salim ^b  

^a Xinjiang Water Resources Research Institute   (China)

^b Horeshoe Cir Jett Hall   (United States)

Author keywords

artificial neural networks; daily pan evaporation; meteorological data; modeling; partial least squares regression

Indexed keywords

EVAPORATION; METEOROLOGY; MODELS; NEURAL NETWORKS; NONLINEAR EQUATIONS; WEATHER INFORMATION SERVICES;

CLIMATE VARIABLES; DAILY PAN EVAPORATION; METEOROLOGICAL DATA; NON-LINEAR RELATIONSHIPS; PARTIAL LEAST SQUARES REGRESSION; PARTIAL LEAST SQUARES REGRESSIONS (PLSR); PREDICTOR VARIABLES; WEATHER STATIONS;

LEAST SQUARES APPROXIMATIONS;

EID: 78651472663     PISSN: 16747321     EISSN: 18691900     Source Type: Journal    
DOI: 10.1007/s11431-010-4205-z     Document Type: Article

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