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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/47TD3FB
Repositóriosid.inpe.br/mtc-m21d/2022/11.01.17.39
Última Atualização2022:11.01.17.39.24 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2022/11.01.17.39.24
Última Atualização dos Metadados2023:01.03.16.46.22 (UTC) administrator
DOI10.3390/atmos13101680
ISSN2073-4433
Chave de CitaçãoPalhariniViRoPaMaUn:2022:AnExRa
TítuloAnalysis of Extreme Rainfall and Natural Disasters Events Using Satellite Precipitation Products in Different Regions of Brazil
Ano2022
MêsOct.
Data de Acesso06 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho16092 KiB
2. Contextualização
Autor1 Palharini, Rayana
2 Vila, Daniel Alejandro
3 Rodrigues, Daniele
4 Palharini, Rodrigo
5 Mattos, Enrique
6 Undurraga, Eduardo
ORCID1 0000-0001-5503-8450
2 0000-0002-1015-5650
3 0000-0003-4307-2832
4 0000-0003-3548-2735
5 0000-0002-9590-3709
6 0000-0002-4425-1253
Grupo1
2 DISSM-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Research Center for Integrated Disaster Risk Management (CIGIDEN)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Federal de Piauí (UFPI)
4 Federico Santa María Technical University
5 Universidade Federal de Itajubá (UNIFEI)
6 Research Center for Integrated Disaster Risk Management (CIGIDEN)
Endereço de e-Mail do Autor1 rayana.palharini@uc.cl
2 danielvila2001@gmail.com
RevistaAtmosphere
Volume13
Número10
Páginase1680
Nota SecundáriaB3_ENGENHARIAS_III B3_ENGENHARIAS_I B3_CIÊNCIAS_AMBIENTAIS B4_ENGENHARIAS_II B5_GEOCIÊNCIAS
Histórico (UTC)2022-11-01 17:39:24 :: simone -> administrator ::
2022-11-01 17:39:25 :: administrator -> simone :: 2022
2022-11-01 17:40:26 :: simone -> administrator :: 2022
2023-01-03 16:46:22 :: administrator -> simone :: 2022
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 events
natural disasters
precipitation
satellite
ResumoThe number of natural disasters triggered by extreme events is increasing worldwide and significantly impacts modern society. Extreme rainfall is one of the most important factors contributing to these events. A better understanding of the physical process that causes extreme rainfall can allow rapid responses from decision-makers to lessen the impact of natural disasters on the local population. Satellite monitoring is widely used for this purpose and is essential for regions where terrestrial observations are limited or non-existent. The primary purpose of this study is to describe the performance of satellite products for extreme rainfall events that caused natural disasters in various climate regimes in Brazil and discuss the contribution of mesoscale convective systems (MCS) to these events. We defined regions based on the climatological rainfall distribution. Cases with rain values above the 99th percentile during 20122016 were considered statistically extreme. Our analysis is based on three datasets, with precipitation from (i) rain gauge stations, (ii) different satellite-based estimates, and (iii) mesoscale convective tracking data. The methodology was based on identifying extreme rainfall events, analyzing the performance of satellite precipitation estimates and, finally, quantifying the influence of convective systems on extreme rain. Although all regions of Brazil may be affected by natural disasters caused by extreme rains, the results suggest that the impacts caused in each region are different in magnitude. Convective systems explained over 90% of extreme rains in the case analyzed in Brazils south and about 60% to 90% of extreme rains in the case analyzed in the Northeast. In general, satellite products have identified rain events; however, in the southern region of Brazil, products have tended to overestimate rainfall, while other regions have tended to underestimate extreme rain values. The methods used in satellite precipitation estimation products have limitations to accurately identifying specific extreme rain events.
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34T/47TD3FB
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34T/47TD3FB
Idiomaen
Arquivo Alvoatmosphere-13-01680-v2.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 1
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
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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