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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3MPPDQP
Repositóriosid.inpe.br/mtc-m21b/2016/11.11.12.26
Última Atualização2016:11.11.12.26.33 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2016/11.11.12.26.33
Última Atualização dos Metadados2021:01.03.02.11.47 (UTC) administrator
DOI10.3390/rs8070544
ISSN2072-4292
Chave de CitaçãoOliveiraMaggVilaMora:2016:ChDiCy
TítuloCharacteristics and diurnal cycle of GPM rainfall estimates over the central Amazon region
Ano2016
MêsJuly
Data de Acesso12 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3436 KiB
2. Contextualização
Autor1 Oliveira, Rômulo Augusto Jucá
2 Maggioni, Viviana
3 Vila, Daniel Alejandro
4 Morales, Carlos
Grupo1 MET-MET-SPG-INPE-MCTI-GOV-BR
2
3 DSA-CPT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 George Mason University (GMU)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade de São Paulo (USP)
Endereço de e-Mail do Autor1 romulo.augusto@cptec.inpe.br
2 vmaggion@gmu.edu
3 vmaggion@gmu.edu
RevistaRemote Sensing
Volume8
Número7
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2016-11-11 12:26:33 :: simone -> administrator ::
2016-11-11 12:26:33 :: administrator -> simone :: 2016
2016-11-11 12:27:11 :: simone -> administrator :: 2016
2021-01-03 02:11:47 :: administrator -> simone :: 2016
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-Chavesatellite rainfall estimates
radar rainfall estimates
GPM
IMERG
GPROF
uncertainty quantification
GoAmazon
ResumoStudies that investigate and evaluate the quality, limitations and uncertainties of satellite rainfall estimates are fundamental to assure the correct and successful use of these products in applications, such as climate studies, hydrological modeling and natural hazard monitoring. Over regions of the globe that lack in situ observations, such studies are only possible through intensive field measurement campaigns, which provide a range of high quality ground measurements, e.g., CHUVA (Cloud processes of tHe main precipitation systems in Brazil: A contribUtion to cloud resolVing modeling and to the GlobAl Precipitation Measurement) and GoAmazon (Observations and Modeling of the Green Ocean Amazon) over the Brazilian Amazon during 2014/2015. This study aims to assess the characteristics of Global Precipitation Measurement (GPM) satellite-based precipitation estimates in representing the diurnal cycle over the Brazilian Amazon. The Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) and the Goddard Profiling Algorithm-Version 2014 (GPROF2014) algorithms are evaluated against ground-based radar observations. Specifically, the S-band weather radar from the Amazon Protection National System (SIPAM), is first validated against the X-band CHUVA radar and then used as a reference to evaluate GPM precipitation. Results showed satisfactory agreement between S-band SIPAM radar and both IMERG and GPROF2014 algorithms. However, during the wet season, IMERG, which uses the GPROF2014 rainfall retrieval from the GPM Microwave Imager (GMI) sensor, significantly overestimates the frequency of heavy rainfall volumes around 00:00-04:00 UTC and 15:00-18:00 UTC. This overestimation is particularly evident over the Negro, Solimoes and Amazon rivers due to the poorly-calibrated algorithm over water surfaces. On the other hand, during the dry season, the IMERG product underestimates mean precipitation in comparison to the S-band SIPAM radar, mainly due to the fact that isolated convective rain cells in the afternoon are not detected by the satellite precipitation algorithm.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Characteristics and diurnal...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Characteristics and diurnal...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 11/11/2016 10:26 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34P/3MPPDQP
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34P/3MPPDQP
Idiomaen
Arquivo AlvoOliveira_characteristics.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/43SRC6S
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.03.02.10 4
sid.inpe.br/bibdigital/2013/10.15.01.34 1
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes orcid pages 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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