Applicability of TRMM Precipitation for Hydrologic Modeling in a Basin in the Northeast Brazilian Agreste

Abstract

Determining precipitation using remote sensing is gaining space in hydrologic studies, helping make up for the lack of data in many regions of Brazil. The products from satellite TRMM (Tropical Rainfall Measuring Mission) are widely applied in studies in Brazil, but there are still few results about their applicability for hydrologic modeling in the Northeast Region, which is characterized by an irregular precipitation regime. The objective of this study is to evaluate the feasibility of using the TRMM 3B42 V7 data for hydrologic modeling in the Japaratuba river basin in Sergipe at three timescales: daily, every ten days, and monthly. The comparative analysis between the rainfall data from rain gauges and TRMM did not indicate satisfactory adequacy at these studied scales, since the TRMM data underestimated the total rainfall for all stations used in the study. However, for the hydrologic modeling, acceptable values were obtained for the efficiency coefficients evaluated only for the ten-day and monthly scales.

Evaluation of gridded meteorological datasets and their potential hydrological application to a humid area with scarce data for Pirapama River basin, northeastern Brazil

“…Moreover, in general, the coe cients were satisfactory on the monthly and annual scales because improvements were observed in the results proportional to the increase in temporal scale. Such behavior was also observed in many works that applied the TRMM products to the northeastern coast of Brazil (Pereira et al, 2013;Soares et al, 2016;Santos et al, 2018a;Cruz et al, 2018). Thus, these daily, monthly and annual assessment analyses indicate that the TRMM 3B42 precipitation product performs better on the monthly and annual scales than on the daily scale when compared with measured data.…”

“…In this sense, the TRMM has been widely used because it offers global coverage, high temporal resolution, and data with a relatively high spatial resolution. However, potential hydrological application of TRMM products to a humid area in the coastline of northeastern Brazil has not yet been proven (Soares Cruz et al, 2018). In this study, CFSR and TRMM data were used in the SWAT model.…”

Precipitação Estimada Por Sensoriamento Remoto No Estado De Sergipe

“…Recentemente, novas técnicas estão sendo utilizadas em estudos hidrológicos globais, no monitoramento do clima, em especial no registro da precipitação pluvial, com grande destaque, para as técnicas de sensoriamento remoto (SZILAGYI;JOZSA, 2013;FANG;LAKSHMI, 2014;ALMEIDA;.…”