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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
Identificador8JMKD3MGP5W34M/3GD3GJL
Repositóriosid.inpe.br/mtc-m21b/2014/05.30.02.22.57
Última Atualização2014:06.20.17.39.45 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2014/05.30.02.22.58
Última Atualização dos Metadados2021:01.03.02.11.38 (UTC) administrator
DOI10.1175/JAMC-D-12-0178.1
ISSN1558-8432
1558-8424
Rótuloscopus 2014-05 NegriMachEnglFors:2014:CoClMo
Chave de CitaçãoNegriMachEnglFors:2014:CoClMo
TítuloCombining a cloud-resolving model with satellite for cloud process model simulation validation
Ano2014
Data de Acesso19 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3003 KiB
2. Contextualização
Autor1 Negri, Renato Galante
2 Machado, Luiz Augusto Toledo
3 English, S.
4 Forsythe, M.
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHMS
Grupo1 DSA-CPT-INPE-MCTI-GOV-BR
2 CPT-CPT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
4 Met Office, Exeter, United Kingdom
Endereço de e-Mail do Autor1 renato.galante@cptec.inpe.br
2 luiz.machado@cptec.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaJournal of Applied Meteorology and Climatology
Volume53
Número2
Páginas521-533
Histórico (UTC)2021-01-03 02:11:38 :: administrator -> marcelo.pazos@inpe.br :: 2014
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãofinaldraft
Palavras-Chavecloud resolving model
humidity distribution
infrared observations
model evaluation/performance
operational vertical sounders
Spinning Enhanced Visible and Infrared Imager
Temporal resolution
Tropical convection
Image resolution
Infrared television
Satellites
Tropical engineering
Computer simulation
computer simulation
convective cloud
model validation
numerical model
radiative transfer
relative humidity
satellite data
satellite imagery
SEVIRI
spatial resolution
TOVS
tropical meteorology
United Kingdom
ResumoAdvances in computer power have made it possible to increase the spatial resolution of regional numerical models to a scale encompassing larger convective elements of less than 5 km in size. One goal of high resolution is to begin to resolve convective processes, and therefore it is necessary to evaluate the realism of convective clouds resolved explicitly at this resolution. This paper presents a method that is based on satellite comparisons to examine the simulation of continental tropical convection over Africa, in a high-resolution integration of the Met Office Unified Model (UK UM), developed under the Cascade project. The spatial resolution of these simulations is 1.5 km, the temporal resolution is 15 min, and the convection is resolved explicitly. The Spinning Enhanced Visible and Infrared Imager (SEVIRI) radiometer measurements were simulated by the Radiative Transfer for the Television and Infrared Observation Satellite (TIROS) Operational Vertical Sounder (RTTOV) model, and then a comparison between the simulations and real SEVIRI measurements was performed. The analysis using the presented method shows that the UK UM can represent tropical convection dynamics realistically. However, an error has been found in the high-level humidity distribution, which is characterized by strong humidity gradients. A key point of this paper is to present a method for establishing the credibility of a convection-permitting model by direct comparison with satellite data.
ÁreaMET
Arranjo 1urlib.net > CGCPT > Combining a cloud-resolving...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Combining a cloud-resolving...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP5W34M/3GD3GJL
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP5W34M/3GD3GJL
Idiomaen
Arquivo AlvoNegri_Combining.pdf
Grupo de Usuáriosadministrator
marcelo.pazos@inpe.br
self-uploading-INPE-MCTI-GOV-BR
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
Visibilidadeshown
Política de Arquivamentodenypublisher6 allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Vinculação8JMKD3MGP7W/3CP5BE8
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/43SRC6S
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.03.02.10 3
sid.inpe.br/bibdigital/2013/10.06.18.03 2
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarytype url
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
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