@Article{PalhariniViRoQuPaSiAf:2020:AsExPr,
author = "Palharini, Rayana Santos Araujo and Vila, Daniel Alejandro and
Rodrigues, Daniele T{\^o}rres and Quispe, David Pareja and
Palharini, Rodrigo Cassineli and Siqueira, Ricardo Almeida de and
Afonso, Jo{\~a}o Maria de Sousa",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal
do Piau{\'{\i}} (UFPI)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Universidad T{\'e}cnica Federico Santa
Mar{\'{\i}}a} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Assessment of the extreme precipitation by satellite estimates
over South America",
journal = "Remote Sensing",
year = "2020",
volume = "12",
number = "13",
pages = "e2085",
month = "July",
keywords = "extreme precipitation, rainfall estimates, satellite.",
abstract = "In developing countries, accurate rainfall estimation with
adequate spatial distribution is limited due to sparse rain gauge
networks. One way to solve this problem is the use of
satellite-based precipitation products. These satellite products
have significant spatial coverage of rainfall estimates and it is
of fundamental importance to investigate their performance across
spacetime scales and the factors that affect their uncertainties.
In the open literature, some studies have already analyzed the
ability of satellite-based rain estimation products to estimate
average rainfall values. These investigations have found very
close agreement between the estimates and observed data. However,
further evaluation of the satellite precipitation products is
necessary to improve their reliability to estimate extreme values.
In this scenario, the main goal of this work is to evaluate the
ability of satellite-based precipitation products to capture the
characteristics of extreme precipitation over the tropical region
of South America. The products evaluated in this investigation
were 3B42 RT v7.0, 3B42 RT v7.0 uncalibrated, CMORPH V1.0 RAW,
CMORPH V1.0 CRT, GSMAP-NRT-no gauge v6.0, GSMAP-NRT- gauge v6.0,
CHIRP V2.0, CHIRPS V2.0, PERSIANN CDR v1 r1, CoSch and TAPEER v1.5
from Frequent Rainfall Observations on GridS (FROGS) database.
Some products considered in this investigation are adjusted with
rain gauge values and others only with satellite information. In
this study, these two sets of products were considered. In
addition, gauge-based daily precipitation data, provided by
Brazils National Institute for Space Research, were used as
reference in the analyses. In order to compare gauge-based daily
precipitation and satellite-based data for extreme values,
statistical techniques were used to evaluate the performance the
selected satellite products over the tropical region of South
America. According to the results, the threshold for rain to be
considered an extreme event in South America presented high
variability, ranging from 20 to 150 mm/day, depending on the
region and the percentile threshold chosen for analysis. In
addition, the results showed that the ability of the satellite
estimates to retrieve rainfall extremes depends on the
geographical location and large-scale rainfall regimes.",
doi = "10.3390/rs12132085",
url = "http://dx.doi.org/10.3390/rs12132085",
issn = "2072-4292",
language = "en",
targetfile = "remotesensing-12-02085-v2.pdf",
urlaccessdate = "29 mar. 2024"
}