Please use this identifier to cite or link to this item: https://repositorio.inpa.gov.br/handle/1/38487
Title: Intraseasonal scale ensemble forecasts of precipitation and evapotranspiration for the Madeira River basin using different physical parameterizations
Authors: Lyra, André De Arruda
Vergasta, Leonardo Alves
Chou, Sinchan
Correia, Francis Wagner Silva
Satyamurty, Prakki
Gomes, Weslley Brito
Keywords: Bias correction
Downscaling
Issue Date: 2022
metadata.dc.publisher.journal: Atmospheric Research
metadata.dc.relation.ispartof: Volume 270, Número 106086.
Abstract: Eta 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. © 2021
metadata.dc.identifier.doi: 10.1016/j.atmosres.2022.106086
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