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Reference evapotranspiration estimation without local climatic data

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Reference evapotranspiration estimation without local climatic data

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Martí Pérez, PC.; González Altozano, P.; Gasque Albalate, M. (2011). Reference evapotranspiration estimation without local climatic data. Irrigation Science. 29(6):479-495. doi:10.1007/s00271-010-0243-3

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/68260

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Title: Reference evapotranspiration estimation without local climatic data
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Rural y Agroalimentaria - Departament d'Enginyeria Rural i Agroalimentària
Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Issued date:
Abstract:
[EN] The Penman-Monteith equation for reference evapotranspiration (ET o) estimation cannot be applied in many situations, because climatic records are totally or partially not available or reliable. In these cases, empirical ...[+]
Subjects: Ancillary data , Artificial Neural Network , Climatic data , Climatic variables , Empirical equations , Empirical model , Hierarchization , Infilling , Local temperature , Local temperature measurements , Multiple linear regression approaches , Multiple linear regressions , Penman-Monteith equations , Reference evapotranspiration , Temperature-based approaches , Evapotranspiration , Linear regression , Neural networks , Temperature measurement , Water supply , Estimation , Accuracy assessment , Climate change , Data set , Estimation method , Hierarchical system , Penman-Monteith equation , Regression analysis , Temperature profile , Uncertainty analysis
Copyrigths: Cerrado
Source:
Irrigation Science. (issn: 0342-7188 )
DOI: 10.1007/s00271-010-0243-3
Publisher:
Springer Verlag (Germany)
Publisher version: https://dx.doi.org/10.1007/s00271-010-0243-3
Type: Artículo

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