dc.contributorUniversidad Nacional de Asunción - Facultad de Ingeniería
dc.contributorBarcelona Supercomputing Center (ES)
dc.creatorGonzalez Cuevas, Juan Alberto
dc.creatorRincón Rodriguez, Angel
dc.creatorJorba, Oriol
dc.creatorFrutos, Miguel
dc.creatorAlvarez, Leopoldo
dc.creatorBarrios, Fernando P
dc.date2022-04-27T00:38:39Z
dc.date2022-04-27T00:38:39Z
dc.date2016
dc.date.accessioned2023-09-25T13:30:39Z
dc.date.available2023-09-25T13:30:39Z
dc.identifierhttp://hdl.handle.net/20.500.14066/3667
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8806900
dc.descriptionIn this contribution, we present a post-process analysis of Weather and Research Forecasting (WRF-ARW) model which combines a Kalman Filter with Model Output Statistics (MOS) for bias correction in order to improve the overall predicted values of GHI simulations over Paraguay.
dc.descriptionCONACYT - Consejo Nacional de Ciencias y Tecnología
dc.descriptionPROCIENCIA
dc.languageeng
dc.relation14-INV-289
dc.rightsopen access
dc.subject1 Exploración y explotación de la tierra
dc.subjectMETEOROLOGIA
dc.subjectCLIMATOLOGIA
dc.subjectIRRADIANCIA SOLAR
dc.titleBias correction of global irradiance modelled with the Weather Research and Forecasting model over Paraguay
dc.typeconference presentation


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