dc.contributorFederal Univ. of Pelotas
dc.contributorParana Meteorological System (SIMEPAR)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorCenter for Weather Forecasting and Climate Research (CPTEC/INPE)
dc.date.accessioned2018-12-11T17:11:00Z
dc.date.available2018-12-11T17:11:00Z
dc.date.created2018-12-11T17:11:00Z
dc.date.issued2017-05-01
dc.identifierJournal of Hydrologic Engineering, v. 22, n. 5, 2017.
dc.identifier1084-0699
dc.identifierhttp://hdl.handle.net/11449/174414
dc.identifier10.1061/(ASCE)HE.1943-5584.0001432
dc.identifier2-s2.0-85016782933
dc.description.abstractHigh-resolution quantitative precipitation estimation (QPE) from radar and satellite combined with rain gauges is one of the most important guides for hydrological forecasts. Whereas rain gauges provide accurate measurement at a point, remote sensing helps to retrieve the spatial pattern. An algorithm, named Siprec, has been used to blend rain gauges, radar mosaic data, and satellite Eumetsat/MPE estimates by using Poisson's equation over two basins in Brazil. The results indicated that Siprec decreased the root mean square error (RMSE) when compared to radar and satellite estimates as well as improved the correlation. Most of the errors were related to precipitation above 10 mm h-1, due to large spatial variability, typical of deep convection. The solution of Poisson's equation acts directly on the data received at a certain time, converging the amplitude to the rain gauge values and keeping the spatial distribution of the radar or satellite measurement without a priori adjustments. This is an important advantage in an operational environment because it does not require frequent processing to update the weights like other schemes.
dc.languageeng
dc.relationJournal of Hydrologic Engineering
dc.relation0,890
dc.rightsAcesso restrito
dc.sourceScopus
dc.subjectHydrometeorology
dc.subjectQuantitative precipitation estimation (QPE)
dc.subjectRainfall
dc.subjectSatellite
dc.subjectWeather radar
dc.titleQuantitative precipitation estimation integrated by Poisson'S equation using radar mosaic, satellite, and rain gauge network
dc.typeArtículos de revistas


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