2020
DOI: 10.3390/w12051268
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Hydrologic Validation of MERGE Precipitation Products over Anthropogenic Watersheds

Abstract: Satellite rainfall estimates (SRFE) are a promising alternative for the lack of reliable, densely distributed, precipitation data common in developing countries and remote locations. SRFE may be significantly improved when corrected based on rain gauge data. In the present study the first complete validation of the Tropical Rainfall Measuring Mission (TRMM) 3B42-based MERGE product is performed by means of ground truthing and hydrological modeling-based applications. Four distinct, highly anthropogenic watersh… Show more

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Cited by 6 publications
(4 citation statements)
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References 46 publications
(109 reference statements)
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“…The method used to estimate each component of the natural flow is presented in ANA (2011). Naturalized streamflows have been used in several hydrological modelling studies in Brazil, such as those by Nóbrega et al (2011), Jiménez et al (2019), Amorim et al (2020), Cassalho et al (2020), and Mello et al (2021).…”
Section: Methodsmentioning
confidence: 99%
“…The method used to estimate each component of the natural flow is presented in ANA (2011). Naturalized streamflows have been used in several hydrological modelling studies in Brazil, such as those by Nóbrega et al (2011), Jiménez et al (2019), Amorim et al (2020), Cassalho et al (2020), and Mello et al (2021).…”
Section: Methodsmentioning
confidence: 99%
“…Naturalized streamflows are those that occur if there is no reservoir in a basin [54], and they are derived from an integrated system that incorporates 96 stochastic models for forecasting the streamflows in each hydropower plant [55]. Naturalized streamflows have been used in several studies of hydrological modeling in Brazil, such as those by Cassalho et al [13], Nóbrega et al [56], and Oliveira et al [55].…”
Section: Model Setupmentioning
confidence: 99%
“…Despite presenting adequate r-factor values (Table 3), the simulation driven by rain gauges presented higher uncertainty when compared to the SPPs, presenting a p-factor slightly lower than 0.7 for the validation period. According to Cassalho et al [13], the local characteristic of rain gauges often limits their ability to represent the spatial structure of precipitation events. Therefore, the low density of rain gauges may be the cause of the greater uncertainties in the simulations [75].…”
Section: Swat Performance Evaluationmentioning
confidence: 99%
“…High-resolution and high-quality precipitation data have gradually become an urgent need for the development of modern meteorological business [1]. Multisource fusion precipitation products can combine the advantages of precipitation data from different sources, and have gradually become the mainstream trend in the development of high-quality precipitation products in the world in recent decades [2][3][4][5][6][7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%