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Multivariate statistical monitoring of ETo: A new approach for estimation in nearby locations using geographical inputs

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Multivariate statistical monitoring of ETo: A new approach for estimation in nearby locations using geographical inputs

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Martí Pérez, PC.; Zarzo Castelló, M. (2012). Multivariate statistical monitoring of ETo: A new approach for estimation in nearby locations using geographical inputs. AGRICULTURAL AND FOREST METEOROLOGY. 152(1):125-134. doi:10.1016/j.agrformet.2011.08.008

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/30485

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Title: Multivariate statistical monitoring of ETo: A new approach for estimation in nearby locations using geographical inputs
Author: Martí Pérez, Pau Carles Zarzo Castelló, Manuel
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
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Abstract:
[EN] The standard equation used to calculate reference evapotranspiration (ET o) requires many parameters that are not available or reliable in most cases. Alternative equations have been developed in the literature relying ...[+]
Subjects: ET o estimation , Multivariate statistical monitoring , PCA , Climate conditions , Estimation method , Evapotranspiration , Monitoring , Principal component analysis , Regression analysis , Weather station
Copyrigths: Cerrado
Source:
AGRICULTURAL AND FOREST METEOROLOGY. (issn: 0168-1923 )
DOI: 10.1016/j.agrformet.2011.08.008
Publisher:
ELSEVIER SCIENCE BV
Publisher version: http://dx.doi.org/10.1016/j.agrformet.2011.08.008
Type: Artículo

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