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      Assessment of Precipitation Data Generated by GPM and TRMM Satellites Translated title: Avaliação dos Dados de Precipitação Gerados pelos Satélites GPM e TRMM

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          Abstract

          Abstract This study aimed to verify the performance of the information produced by the GPM (Global Precipitation Measurement) mission and TRMM (Tropical Rainfall Measurement Mission) on the eastern region of São Paulo state, based on a comparison of rainfall data from DAEE (Department of Waters and Electric Energy of São Paulo State). The comparison was done by comparing spatially aggregated information from both sources. In order to analyze the results, we measured: (1) Relative Difference, (2) BIAS and (3) Root Mean Square Error (RMSE). It was found that the relative differences were in the range of -20% to 20% for both missions. Analyzing the BIAS for both satellites it was observed that 68% of the measurements were overestimated. The highest agreement was obtained for the mesoregion of Campinas and the lowest for Araraquara. In the TRMM, the lowest RMSE values were found in the Araraquara mesoregion and the highest in Piracicaba. In the GPM the closest measured values were observed in the Piracicaba mesoregion, while the most distant values were identified in Araraquara. All the analyzes of this work demonstrated similarity between the errors generated by both satellites. New comparison studies are needed to better understand the products.

          Translated abstract

          Resumo Este estudo objetivou verificar o desempenho das informações produzidas pela missão GPM (Global Precipitation Measurement) e TRMM (Tropical Rainfall Measurement Mission) sobre a região leste do estado de São Paulo, tendo como base de comparação pluviômetros do DAEE (Departamento de Águas e Energia Elétrica do Estado de São Paulo). A conferência foi feita através da comparação da informação agregada espacialmente, proveniente de ambas as fontes. A fim de se analisar os resultados, foram medidos: (1) Diferença Relativa, (2) BIAS e (3) Raiz do Erro Médio Quadrático (REMQ). Obteve-se como resultado que as diferenças relativas situaram-se na faixa de -20% a 20% para ambas as missões. Analisando-se os BIAS para ambos os satélites observou-se que 68% das aferições foram superestimadas. A maior concordância foi obtida para a mesorregião de Campinas e a menor para Araraquara. No TRMM constatou-se os menores valores de REMQ na mesorregião de Araraquara e os maiores em Piracicaba. No GPM os valores medidos mais próximos foram observados na mesorregião de Piracicaba, enquanto os valores mais distantes foram identificados em Araraquara. Todas as análises deste trabalho demonstraram similaridade entre os erros gerados por ambos os satélites. Novos estudos de comparação são necessários para melhor entendimento dos produtos.

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          Most cited references19

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          Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) and Its Utility in Hydrologic Prediction in the La Plata Basin

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            The WGNE Assessment of Short-term Quantitative Precipitation Forecasts

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              Evaluation of TRMM 3B42 precipitation estimates of tropical cyclone rainfall using PACRAIN data

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                rbmet
                Revista Brasileira de Meteorologia
                Rev. bras. meteorol.
                Sociedade Brasileira de Meteorologia (São Paulo, SP, Brazil )
                0102-7786
                1982-4351
                March 2018
                : 33
                : 1
                : 153-163
                Affiliations
                [1] Piracicaba orgnameUniversidade de São Paulo orgdiv1Departamento de Engenharia de Biossistemas Brazil
                [2] Dois Vizinhos Paraná orgnameUniversidade Tecnológica Federal do Paraná Brazil
                Article
                S0102-77862018000100153
                10.1590/0102-7786331004
                bd474dd8-1305-471d-9da2-7b20d0553662

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 17 May 2017
                : 14 November 2017
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 33, Pages: 11
                Product

                SciELO Brazil


                GPM,precipitação,rainfall estimated by satellite,TRMM,chuva estimada por satélite,precipitation

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