Ancillary data supply strategies for improvement of temperature-based ETo ANN models

Agricultural Water Management

Volumn 97, Issue 7, 2010, Pages 939-955

  Martí, Pau ^a   Gasque, María ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Ancillary data supply; Artificial neural networks; Continentality index; ETo estimation

Indexed keywords

ANCILLARY DATA; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; CLIMATIC DATA; EMPIRICAL EQUATIONS; EXISTING METHOD; EXTERNAL PERFORMANCE; INFILLING; LOCAL DATA; MINIMUM CLIMATIC DATA; MODEL PERFORMANCE; NONLINEAR PROCESS; PERFORMANCE IMPROVEMENTS; PERFORMANCE QUALITY; REFERENCE EVAPOTRANSPIRATION; RELATIVE ERRORS; TRADITIONAL TECHNIQUES; TRAINING PATTERNS; VALENCIA;

ESTIMATION; EVAPOTRANSPIRATION; WATER SUPPLY;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; CLIMATE MODELING; CONTINENTAL MARGIN; EMPIRICAL ANALYSIS; EVAPOTRANSPIRATION;

COMUNIDAD VALENCIA; MEDITERRANEAN COAST [SPAIN]; SPAIN;

EID: 77950520829     PISSN: 03783774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agwat.2010.02.002     Document Type: Article

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