Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/38487
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dc.contributor.authorLyra, André De Arruda-
dc.contributor.authorVergasta, Leonardo Alves-
dc.contributor.authorChou, Sinchan-
dc.contributor.authorCorreia, Francis Wagner Silva-
dc.contributor.authorSatyamurty, Prakki-
dc.contributor.authorGomes, Weslley Brito-
dc.date.accessioned2022-03-02T21:49:48Z-
dc.date.available2022-03-02T21:49:48Z-
dc.date.issued2022-
dc.identifier.urihttps://repositorio.inpa.gov.br/handle/1/38487-
dc.description.abstractEta Regional Model of CPTEC-INPE is used to obtain intraseasonal (30-day) 8-member ensemble forecasts over the Madeira River basin for the period 2002–2012. The initial and boundary conditions are taken from Atmospheric General Circulation Global Model in six members and from Global Coupled Ocean-Atmosphere Model in two members. The intraseasonal forecasts produced by dynamic downscaling with Eta Regional model ensemble have satisfactory skill. The skill of the ensemble mean is better than the individual members up to 15-days lead time forecasts. The ensemble mean reproduces the seasonal cycle and spatial distribution of the hydrological variables. Members with the relaxation technique of Betts-Miller-Janjic produced better results. The forecasts by the members that used Kain-Fritsch scheme presented larger deviations from observations. Substantial improvements in skill are obtained through bias correction. This is the first work to attempt dynamic downscaling over the Madeira Basin in the intraseasonal time scale for a period of 10 years. The ensemble downscaled products have potential to be fed into surface hydrological models for forecasting droughts and floods and related hydrological variables over the basin. © 2021pt_BR
dc.language.isoenpt_BR
dc.relation.ispartofVolume 270, Número 106086.pt_BR
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Brazil*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/br/*
dc.subjectBias correctionpt_BR
dc.subjectDownscalingpt_BR
dc.titleIntraseasonal scale ensemble forecasts of precipitation and evapotranspiration for the Madeira River basin using different physical parameterizationspt_BR
dc.typeArtigopt_BR
dc.identifier.doi10.1016/j.atmosres.2022.106086-
dc.publisher.journalAtmospheric Researchpt_BR
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