Hydrological modeling using remote sensing precipitation data in a Brazilian savanna basin

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorJunqueira, Rubens-
Autor(es): dc.creatorViola, Marcelo R.-
Autor(es): dc.creatorAmorim, Jhones da S.-
Autor(es): dc.creatorCamargos, Carla-
Autor(es): dc.creatorMello, Carlos R. de-
Data de aceite: dc.date.accessioned2026-02-09T12:22:50Z-
Data de disponibilização: dc.date.available2026-02-09T12:22:50Z-
Data de envio: dc.date.issued2022-07-13-
Data de envio: dc.date.issued2022-07-13-
Data de envio: dc.date.issued2022-04-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/50590-
Fonte completa do material: dc.identifierhttps://doi.org/10.1016/j.jsames.2022.103773-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1160124-
Descrição: dc.descriptionPrecipitation is the main input for hydrological models. However, due to limitations of rain gauge stations, satellite precipitation estimates have become a good alternative to precipitation information. In this context, this study aimed to validate the precipitation data with Tropical Rainfall Measuring Mission Multisatellite Precipitation Analysis (TMPA) and Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) data, in addition to assessing the uncertainty and performance of the Soil and Water Assessment Tool (SWAT) using observed precipitation (OP), TMPA, and IMERG data. Statistical coefficients were used to validate TMPA and IMERG precipitation data. P-factor and r-factor were considered for the uncertainty analysis, while the Nash-Sutcliffe efficiency (NSE), its logarithmic version (LNSE), and the percent bias (PBIAS) were analyzed to characterize the model performance analysis in monthly time steps. There was an overestimation by TMPA and IMERG in the precipitation estimation, especially in the dry period. OP, TMPA, and IMERG setups presented satisfactory results for uncertainty and performance analysis in hydrological modeling. The IMERG setup generally showed better results than the TMPA setup, being a good alternative for hydrological modeling, especially in regions with scarce precipitation datasets.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceJournal of South American Earth Sciences-
Palavras-chave: dc.subjectIntegrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG)-
Palavras-chave: dc.subjectSoil and Water Assessment Tool (SWAT)-
Palavras-chave: dc.subjectTropical Rainfall Measuring Mission Multisatellite Precipitation Analysis (TMPA)-
Palavras-chave: dc.subjectUncertainty analysis-
Palavras-chave: dc.subjectSUFI-2-
Palavras-chave: dc.subjectModelos hidrológicos-
Palavras-chave: dc.subjectHidrologia-
Palavras-chave: dc.subjectSensoriamento Remoto-
Palavras-chave: dc.subjectDados de precipitação-
Palavras-chave: dc.subjectAnálise de incerteza-
Palavras-chave: dc.subjectBacias hidrográficas-
Título: dc.titleHydrological modeling using remote sensing precipitation data in a Brazilian savanna basin-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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