Error autocorrelation and linear regression for temperature-based evapotranspiration estimates improvement

Autocorrelação de erro e regressão linear para melhoria de estimativas de evapotranspiração por temperatura;
Autocorrelación de errores y regresión lineal para temperatura la evapotranspiración estima una mejora;
Fehlerautokorrelation und lineare regression für temperaturbasierte evapotranspiration schätzt verbesserung

dc.creatorMEDEIROS, Patrick Valverde
dc.creatorMARCUZZO, Francisco Fernando Noronha
dc.creatorYOULTON, Cristián
dc.creatorWENDLAND, Edson Cezar
dc.date2017-12-26T10:39:57Z
dc.date2017-12-26T10:39:57Z
dc.date2012
dc.date.accessioned2023-10-03T22:34:43Z
dc.date.available2023-10-03T22:34:43Z
dc.identifierMEDEIROS, Patrick Valverde et al. Error autocorrelation and linear regression for temperature-based evapotranspiration estimates improvement. Journal of the American Water Resources Association, Hoboken, NJ, v. 48, n. 2, p. 297-305, 2011.
dc.identifier1093-474X
dc.identifierhttps://rigeo.cprm.gov.br/handle/doc/18872
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9187373
dc.descriptionEstimates of evapotranspiration on a local scale is important information for agricultural and hydrological practices. However, equations to estimate potential evapotranspiration based only on temperature data, which are simple to use, are usually less trustworthy than the Food and Agriculture Organization (FAO)- Penman-Monteith standard method. The present work describes two correction procedures for potential evapotranspiration estimates by temperature, making the results more reliable. Initially, the standard FAO- Penman-Monteith method was evaluated with a complete climatologic data set for the period between 2002 and 2006. Then temperature-based estimates by Camargo and Jensen-Haise methods have been adjusted by error autocorrelation evaluated in biweekly and monthly periods. In a second adjustment, simple linear regression was applied. The adjusted equations have been validated with climatic data available for the Year 2001. Both proposed methodologies showed good agreement with the standard method indicating that the methodology can be used for local potential evapotranspiration estimates.
dc.formatapplication/pdf
dc.formataplication/zip
dc.languageen
dc.publisherBlackwell Publishing
dc.rightslimited
dc.subjectEVAPOTRANSPIRAÇÃO
dc.subjectHIDROLOGIA
dc.subjectEVAPOTRANSPIRAÇÃO DE REFERÊNCIA DE CAMARGO
dc.subjectBALANÇO HÍDRICO
dc.subjectORGANIZAÇÃO DAS NAÇÕES UNIDAS PARA ALIMENTAÇÃO E AGRICULTURA
dc.subjectCONSTANTE PSICROMÉTRICA
dc.subjectSATURAÇÃO DE VAPOR DA ÁGUA
dc.subjectTEMPERATURA DO AR
dc.subjectCLIMATOLOGIA
dc.subjectEVAPORAÇÃO
dc.subjectEVAPOTRANSPIRATION
dc.subjectHYDROLOGY
dc.subjectFAO-PENMAN-MONTEITH
dc.subjectJENSEN-HAISE
dc.subjectCAMARGO
dc.subjectEVAPOTRANSPIRATION ON A LOCAL SCALE
dc.subjectFOOD AND AGRICULTURE ORGANIZATION - FAO
dc.subjectPOTENTIAL EVAPOTRANSPIRATION ESTIMATES
dc.subjectEVAPOTRANSPIRATION
dc.subjectESTIMATION METHODS ON RADIATION
dc.subjectPENMAN-MONTEITH
dc.titleError autocorrelation and linear regression for temperature-based evapotranspiration estimates improvement
dc.titleAutocorrelação de erro e regressão linear para melhoria de estimativas de evapotranspiração por temperatura
dc.titleAutocorrelación de errores y regresión lineal para temperatura la evapotranspiración estima una mejora
dc.titleFehlerautokorrelation und lineare regression für temperaturbasierte evapotranspiration schätzt verbesserung
dc.typeArticle


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