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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/42RPPLP
Repositorysid.inpe.br/mtc-m21c/2020/07.14.12.08
Last Update2020:07.14.12.08.25 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2020/07.14.12.08.25
Metadata Last Update2022:01.04.01.35.15 (UTC) administrator
DOI10.3390/rs12132085
ISSN2072-4292
Citation KeyPalhariniViRoQuPaSiAf:2020:AsExPr
TitleAssessment of the extreme precipitation by satellite estimates over South America
Year2020
MonthJuly
Access Date2024, Apr. 24
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size5366 KiB
2. Context
Author1 Palharini, Rayana Santos Araujo
2 Vila, Daniel Alejandro
3 Rodrigues, Daniele Tôrres
4 Quispe, David Pareja
5 Palharini, Rodrigo Cassineli
6 Siqueira, Ricardo Almeida de
7 Afonso, João Maria de Sousa
ORCID1 0000-0001-5503-8450
2
3 0000-0003-4307-2832
4 0000-0001-6904-3736
5 0000-0003-3548-2735
6 0000-0003-3249-4546
7 0000-0002-9506-4642
Group1 MET-MET-SESPG-INPE-MCTIC-GOV-BR
2 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
3
4 MET-MET-SESPG-INPE-MCTIC-GOV-BR
5
6 MET-MET-SESPG-INPE-MCTIC-GOV-BR
7 MET-MET-SESPG-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Federal do Piauí (UFPI)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Universidad Técnica Federico Santa María
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 rayana.palharini@gmail.com
2 daniel.vila@inpe.br
3 mspdany@yahoo.com.br
4 davidp157@gmail.com
5 rodrigo.cassineli@usm.cl
6 ricardo.siqueira@inpe.br
7 joaoafonso19@gmail.com
JournalRemote Sensing
Volume12
Number13
Pagese2085
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2020-07-14 12:08:25 :: simone -> administrator ::
2020-07-14 12:08:25 :: administrator -> simone :: 2020
2020-07-14 12:09:54 :: simone -> administrator :: 2020
2022-01-04 01:35:15 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsextreme precipitation
rainfall estimates
satellite
AbstractIn 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.
AreaMET
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Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Assessment of the...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/42RPPLP
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/42RPPLP
Languageen
Target Fileremotesensing-12-02085-v2.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/43SRC6S
Citing Item Listsid.inpe.br/bibdigital/2021/01.03.02.10 2
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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