Estimating reference evapotranspiration (ETo) using numerical weather forecast data in central Chile

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dc.contributor.authorSilva, Daniel
dc.contributor.authorMeza, Francisco J.
dc.contributor.authorVaras, Eduardo
dc.date.accessioned2024-01-10T13:12:48Z
dc.date.available2024-01-10T13:12:48Z
dc.date.issued2010
dc.description.abstractWater demand at a basin level is influenced by many factors such meteorological variables. soil moisture, vegetation type and irrigation system Among them, climate is the major driver, because weather conditions determine energy balances and vapor pressure deficits that affect the magnitudes of vapor flux from surface to atmosphere.
dc.description.abstractMonitoring evaporation is a great challenge since specific and costly equipments are required As an alternative, agronomists and engineers use semi-empirical equations Such as the Penman-Monteith formula to estimate potential evapotranspiration based on surface weather observations Unfortunately weather Stations are scarce and do not always have the instrumentation to measure relevant variables for its Calculation
dc.description.abstractIn this work, we evaluate the use of numerical weather forecasts, obtained from MM5 model as proxy, for surface meteorological data with the specific objective Of using them to estimate reference evapotranspiration (ETo) in the Maipo river basin We compared three procedures to obtain ETo: (a) Raw MM5 estimates of latent heat flux; (b) calculation of ETo from Penman-Monteith equation, using raw MM5 Outputs of weather variables: and (c) calculation of Fro from Penman-Monteith using MOS-corrected MM5 weather data We used class A pan evaporation data and estimates of ETo using observed daily surface data to evaluate the precision of each method
dc.description.abstractWe found that the estimation of ETo based on MOS-corrected weather variables IS usually the most effective method to estimate reference evapotranspiration Since MM5 outputs in this region are available at 25 km grids, the number of monitoring sites can be increased substantially, improving the ability to Capture spatial variability of water demands in the basin. (C) 2009 Elsevier B V All rights reserved
dc.description.funderInter-American Institute for Global Change Research (IAI)
dc.description.funderUS National Science Foundation
dc.description.funderFONDECYT
dc.fechaingreso.objetodigital27-03-2024
dc.format.extent8 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.jhydrol.2009.12.018
dc.identifier.eissn1879-2707
dc.identifier.issn0022-1694
dc.identifier.urihttps://doi.org/10.1016/j.jhydrol.2009.12.018
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/78232
dc.identifier.wosidWOS:000275769000006
dc.information.autorucAgronomía e Ing. Forestal;Meza FJ;S/I;86534
dc.information.autorucAgronomía e Ing. Forestal;Silva D;S/I;127154
dc.information.autorucIngeniería;Varas E;S/I;98431
dc.issue.numero1-4
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final71
dc.pagina.inicio64
dc.publisherELSEVIER
dc.revistaJOURNAL OF HYDROLOGY
dc.rightsacceso restringido
dc.subjectMM5 data
dc.subjectMOS corrections
dc.subjectReference evapotranspiration
dc.subjectMaipo river basin
dc.subjectWATER-RESOURCES
dc.subjectMODEL OUTPUT
dc.subjectCONDUCTANCE
dc.subjectHYDROLOGY
dc.subjectFLUXES
dc.subjectBASIN
dc.subject.ods13 Climate Action
dc.subject.ods06 Clean Water and Sanitation
dc.subject.odspa13 Acción por el clima
dc.subject.odspa06 Agua limpia y saneamiento
dc.titleEstimating reference evapotranspiration (ETo) using numerical weather forecast data in central Chile
dc.typeartículo
dc.volumen382
sipa.codpersvinculados86534
sipa.codpersvinculados127154
sipa.codpersvinculados98431
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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