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Open AccessArticle

Evaluation of TRMM/GPM Blended Daily Products over Brazil

1
Center for Weather Forecast and Climate Studies, National Institute for Space Research, Rodovia Presidente Dutra, Km 40, SP-RJ-CEP, Cachoeira Paulista, SP 12630-000, Brazil
2
Department of Geography, University of Sao Paulo (USP), São Paulo, SP 05508-080, Brazil
3
Center of Natural and Human Sciences (CCNH), Federal University of ABC (UFABC), Santo André, SP 09210-580, Brazil
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(6), 882; https://doi.org/10.3390/rs10060882
Received: 1 March 2018 / Revised: 6 April 2018 / Accepted: 11 April 2018 / Published: 6 June 2018
(This article belongs to the Special Issue Remote Sensing of Precipitation)
The precipitation estimates from the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (named TMPA and TMPA-RT for the near real-time version) are widely used both in research and in operational forecasting. However, they will be discontinued soon. The products from the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG) and The Global Satellite Mapping of Precipitation (GSMaP) are analyzed as potential replacements for TMPA products. The objective of this study is to assess whether the IMERG and/or GSMaP products can properly replace TMPA in several regions with different precipitation regimes within Brazil. The validation study was conducted during the period from 1st of April, 2014 to the 28th of February, 2017 (1065 days), using daily accumulated rain gauge stations over Brazil. Six regions were considered for this study: five according to the precipitation regime, plus another one for the entire Brazilian territory. IMERG-Final, TMPA-V7 and GSMaP-Gauges were the selected versions of those algorithms for this validation study, which include a bias adjustment with monthly (IMERG and TMPA) and daily (GSMaP) gauge accumulations, because they are widely used in the user’s community. Results indicate similar behavior for IMERG and TMPA products, showing that they overestimate precipitation, while GSMaP tend to slightly underestimate the amount of rainfall in most of the analyzed regions. The exception is the northeastern coast of Brazil, where all products underestimate the daily rainfall accumulations. For all analyzed regions, GSMaP and IMERG products present a better performance compared to TMPA products; therefore, they could be suitable replacements for the TMPA. This is particularly important for hydrological forecasting in small river basins, since those products present a finer spatial and temporal resolution compared with TMPA. View Full-Text
Keywords: precipitation; satellite; GPM precipitation; satellite; GPM
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MDPI and ACS Style

Rozante, J.R.; Vila, D.A.; Barboza Chiquetto, J.; Fernandes, A.D.A.; Souza Alvim, D. Evaluation of TRMM/GPM Blended Daily Products over Brazil. Remote Sens. 2018, 10, 882.

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