@Article{RozanteVilBarFerAlv:2018:EvTRBl,
author = "Rozante, Jos{\'e} Roberto and Vila, Daniel Alejandro and Barboza
Chiquetto, J{\'u}lio and Fernandes, Alex de Almeida and Alvim,
D{\'e}bora Souza",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade de
S{\~a}o Paulo (USP)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Universidade Federal do ABC (UFABC)}",
title = "Evaluation of TRMM/GPM Blended Daily Products over Brazil",
journal = "Remote Sensing",
year = "2018",
volume = "10",
number = "6",
pages = "882",
keywords = "precipitation, satellite, GPM.",
abstract = "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 users
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.",
doi = "10.3390/rs10060882",
url = "http://dx.doi.org/10.3390/rs10060882",
issn = "2072-4292",
label = "lattes: 3781543923591839 1 RozanteVilBarFerSou:2018:EvTRBl",
language = "en",
targetfile = "rozante_evaluation.pdf",
urlaccessdate = "25 abr. 2024"
}