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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/42RPPLP
Repositóriosid.inpe.br/mtc-m21c/2020/07.14.12.08
Última Atualização2020:07.14.12.08.25 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/07.14.12.08.25
Última Atualização dos Metadados2022:01.04.01.35.15 (UTC) administrator
DOI10.3390/rs12132085
ISSN2072-4292
Chave de CitaçãoPalhariniViRoQuPaSiAf:2020:AsExPr
TítuloAssessment of the extreme precipitation by satellite estimates over South America
Ano2020
MêsJuly
Data de Acesso28 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho5366 KiB
2. Contextualização
Autor1 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
Grupo1 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
Afiliação1 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)
Endereço de e-Mail do Autor1 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
RevistaRemote Sensing
Volume12
Número13
Páginase2085
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (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. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveextreme precipitation
rainfall estimates
satellite
ResumoIn 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.
ÁreaMET
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/42RPPLP
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/42RPPLP
Idiomaen
Arquivo Alvoremotesensing-12-02085-v2.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/43SRC6S
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.03.02.10 3
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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