2017
DOI: 10.26848/rbgf.v10.6.p1721-1729
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Variabilidade sazonal da precipitação na Amazônia: Validação da série de precipitação mensal do GPCC

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Cited by 6 publications
(3 citation statements)
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“…The GPCP and ERA-Interim data products were validated using 35 automatic meteorological field stations for rainfall and temperature data from INMET (National Institute of Meteorology of Brazil), covering the periods 1996-2018 and 1979-2018, respectively. Precipitation from GPCP was also validated by Santos et al 49 . In our study, a least-squares regression analysis was carried out by using the GPCP and ERA-Interim data as the dependent variable and the data from the automatic meteorological field stations as the independent variable.…”
Section: Validation Of Temperature and Precipitation Datamentioning
confidence: 98%
“…The GPCP and ERA-Interim data products were validated using 35 automatic meteorological field stations for rainfall and temperature data from INMET (National Institute of Meteorology of Brazil), covering the periods 1996-2018 and 1979-2018, respectively. Precipitation from GPCP was also validated by Santos et al 49 . In our study, a least-squares regression analysis was carried out by using the GPCP and ERA-Interim data as the dependent variable and the data from the automatic meteorological field stations as the independent variable.…”
Section: Validation Of Temperature and Precipitation Datamentioning
confidence: 98%
“…The use of data from global atmospheric models in time series studies is a good strategy when there are flaws in the historical series measured by weather stations, but on the other hand, they add another source of uncertainty on the inferences based on these data. In Brazil, the ERA-Interim model has shown good accuracy (DEE et al, 2011;SANTOS et al, 2017;APARECIDO et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…Foram usados dados pluviométricos mensais do produto do Global Precipitation Climatology Center (GPCC, 2019), com resolução espacial de 1,0° x 1,0°, no qual os dados de estações são espacialmente interpolados por um complexo método empírico (PASSOW, 2010;BECKER et al, 2013;SANTOS et al, 2017). Conforme pesquisas feitas por Salomão (2010) Rossetti (2012).…”
Section: Aquisição De Dadosunclassified