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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/44BF43H
Repositóriosid.inpe.br/mtc-m21c/2021/03.15.13.19
Última Atualização2021:03.15.13.19.12 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21c/2021/03.15.13.19.12
Última Atualização dos Metadados2022:04.03.22.28.19 (UTC) administrator
DOI10.3390/rs13040734
ISSN2072-4292
Chave de CitaçãoSiqueiraVilaAfon:2021:PeDiCy
TítuloThe Performance of the Diurnal Cycle of Precipitation from Blended Satellite Techniques over Brazil
Ano2021
MêsFeb.
Data de Acesso20 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho9093 KiB
2. Contextualização
Autor1 Siqueira, Ricardo Almeida de
2 Vila, Daniel Alejandro
3 Afonso, João Maria de Sousa
ORCID1 0000-0003-3249-4546
2 0000-0002-1015-5650
3 0000-0002-9506-4642
Grupo1 MET-MET-DIPGR-INPE-MCTI-GOV-BR
2 DISSM-CGCT-INPE-MCTI-GOV-BR
3 MET-MET-DIPGR-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 ricardo.siqueira@inpe.br
2 danielvila2001@gmail.com
RevistaRemote Sensing
Volume13
Número4
Páginase734
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2021-03-15 13:19:12 :: simone -> administrator ::
2021-03-15 13:19:13 :: administrator -> simone :: 2021
2021-03-15 13:19:26 :: simone -> administrator :: 2021
2022-04-03 22:28:19 :: administrator -> simone :: 2021
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-Chaverainfall estimates
satellite
gauges
3-h precipitation
diurnal cycle
ResumoThe knowledge of the diurnal cycle of precipitation is of extreme relevance to understanding the physical/dynamic processes associated with the spatial and temporal distribution of precipitation. The main difficulty of this task is the lack of surface precipitation information over certain regions on an hourly time scale and the low spatial representativeness of these data (normally surface gauges). In order to overcome these difficulties, the main objective of this study is to create a 3-h precipitation accumulation database from the gauge-adjusted daily regional precipitation products to resolve the diurnal cycle properly. This study also proposes to evaluate different methodologies for partitioning gauge-adjusted daily precipitation products, i.e., a product made by the combination of satellite estimates and surface gauge observations, into 3-h precipitation accumulation. Two methodologies based on the calculation of a conversion factor F between a daily gauge-adjusted product, combined scheme (CoSch, hereafter), and a non-gauge-adjusted one, the integrated multi-satellite retrievals for GPM (IMERG)-Early (IMERG, hereafter) were tested for this research. Hourly rain gauge stations for the period of 2015-2018 over Brazil were used to assess the performance of the proposed methodologies over the whole region and five sub-regions with homogeneous precipitation regimes. Standard statistical metrics and categorical indices related with the capability to detect rainfall events were used to compare the ability of each product to represent the diurnal cycle. The results show that the new 3-h CoSch products show better agreement with rainfall gauge stations when compared with IMERG, better capturing the diurnal cycle of precipitation. The biggest improvement was over northeastern region close to the coast, where IMERG was not able to capture the diurnal cycle properly. One of the proposed methodologies (CoSchB) performed better on the critical success index and equitable threat score metrics, suggesting that this is the best product over the two. The downside, when compared with the other methodology (CoSchA), was a slight increase in the values of bias and mean absolute error, but still at acceptable levels.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > The Performance of...
Arranjo 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > The Performance of...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 15/03/2021 10:19 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/44BF43H
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/44BF43H
Idiomaen
Arquivo Alvoperformance_diurnal.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.15.01.34 1
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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