@Article{ReisRennLope:2017:VaSaRa,
author = "Reis, Jo{\~a}o Bosco Coura dos and Renn{\'o}, Camilo Daleles and
Lopes, Eymar Silva Sampaio",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Validation of satellite rainfall products over a mountainous
watershed in a humid subtropical climate region of Brazil",
journal = "Remote Sensing",
year = "2017",
volume = "9",
number = "12",
pages = "1240",
keywords = "Tropical Multisatellite Precipitation Analysis (TMPA), TRMM,
Hydroestimator, satellite rainfall products, mountainous
watershed, Brazil.",
abstract = "Remote sensing allows for the continuous and repetitive
measurement of rainfall values. Satellite rainfall products such
as Tropical Rainfall Measurement Mission (TRMM) 3B42 and the
Hydroestimator (Hydroe) can be potential sources of data for
hydrologic applications, mainly in areas with irregular and sparse
spatial distributions of traditional rain gauge stations. However,
the accuracy of these satellite rainfall products over different
spatial and temporal scales is unknown. In this study, we examined
the potential of the TRMM 3B42 and Hydroe rainfall products to
provide reliable rainfall estimates for a mountainous watershed in
a humid subtropical climate region of Brazil. The purpose was to
develop useful guidelines for future hydrologic studies on the
potential and uncertainties of the rainfall products at different
spatial and temporal resolutions. We compared the satellite
products to reference rainfall data collected at 11 rain gauge
stations irregularly distributed in the area. The results showed
different levels of accuracy for each temporal scale evaluated.
TRMM 3B42 performed better at the daily, monthly, and seasonal
scales than Hydroe, while Hydroe presented a better correlation at
the annual scale. In general, TRMM 3B42 overestimated the rainfall
over the watershed at all evaluated temporal scales, whereas
Hydroe underestimated it except for JuneAugust at the seasonal
scale. An evaluation based on contingency tables indicated that
TRM 3B42 was better able to represent the local rainfall than
Hydroe. The findings of this study indicate that satellite
rainfall products are better suited for applications at the
monthly and annual scales rather than the daily scale.",
doi = "10.3390/rs9121240",
url = "http://dx.doi.org/10.3390/rs9121240",
issn = "2072-4292",
language = "en",
targetfile = "reis_validation.pdf",
urlaccessdate = "27 abr. 2024"
}