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

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

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Martí, P.; Gasque Albalate, M. (2010). Ancillary data supply strategies for improvement of temperature-based ETo ANN models. Agricultural Water Management. 97(7):939-955. https://doi.org/10.1016/j.agwat.2010.02.002

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/204610

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Title: Ancillary data supply strategies for improvement of temperature-based ETo ANN models
Author: Martí, Pau Gasque Albalate, Maria
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural
Issued date:
Abstract:
[EN] The development of new and more precise models for reference evapotranspiration (ETo) estimation from minimum climatic data is mandatory, since the application of existing methods that provide acceptable results is ...[+]
Subjects: Artificial neural networks , ETo estimation , Ancillary data supply , Continentality index
Copyrigths: Cerrado
Source:
Agricultural Water Management. (issn: 0378-3774 )
DOI: 10.1016/j.agwat.2010.02.002
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.agwat.2010.02.002
Type: Artículo

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