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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/3GD3GC2
Repositóriosid.inpe.br/mtc-m21b/2014/05.30.02.19.57
Última Atualização2014:06.26.12.50.03 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2014/05.30.02.19.58
Última Atualização dos Metadados2021:01.02.03.53.27 (UTC) administrator
DOI10.1175/JAMC-D-13-048.1
ISSN1558-8432
1558-8424
Rótuloscopus 2014-05 Sapucci:2014:EvMoWa
Chave de CitaçãoSapucci:2014:EvMoWa
TítuloEvaluation of modeling water-vapor-weighted mean tropospheric temperature for GNSS-integrated water vapor estimates in Brazil
Ano2014
Data de Acesso08 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho6900 KiB
2. Contextualização
AutorSapucci, Luiz Fernando
GrupoDMD-CPT-INPE-MCTI-GOV-BR
AfiliaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autorluiz.sapucci@cptec.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaJournal of Applied Meteorology and Climatology
Volume53
Número3
Páginas715-730
Histórico (UTC)2021-01-02 03:53:27 :: 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 Versãopublisher
Palavras-ChaveEstimation
Global positioning system
Radiosondes
Research
Troposphere
Upper atmosphere
Water vapor
Weather forecasting
Global Navigation Satellite Systems
Integrated water vapors
Meteorological station
Multivariate statistical analysis
Numerical weather prediction
Radiosonde observations
South America
Tropospheric temperature
Uncertainty analysis
air temperature
algorithm
GNSS
GPS
numerical model
radiosonde
seasonal variation
troposphere
water vapor
weather forecasting
Brazil
ResumoMeteorological application of Global Navigation Satellite System (GNSS) data over Brazil has increased significantly in recent years, motivated by the significant amount of investment from research agencies. Several projects have, among their principal objectives, the monitoring of humidity over Brazilian territory. These research projects require integrated water vapor (IWV) values with maximum quality, and, accordingly, appropriate data from the installed meteorological stations, together with the GNSS antennas, have been used. The model that is applied to estimate the water-vapor-weighted mean tropospheric temperature (Tm) is a source of uncertainty in the estimate of IWV values using the ground-based GNSS receivers in Brazil. Two global models and one algorithm for Tm, developed through the use of radiosondes, numerical weather prediction products, and 40-yr ECMWF Re-Analysis (ERA-40), as well as two regional models, were evaluated using a dataset of ;78 000 radiosonde profiles collected at 22 stations in Brazil during a 12-yr period (1999-2010). The regional models (denoted the Brazilian and regional models) were developed with the use of multivariate statistical analysis using ~90 000 radiosonde profiles launched at 12 stations over a 32-yr period (1961-93). The main conclusion is that the Brazilian model and two global models exhibit similar performance if the complete dataset and the entire period are taken into consideration. However, for seasonal and local variations of the Tm values, the Brazilian model was better than the other two models for most stations. The Tm values from ERA-40 present no bias, but their scatter is larger than that in the other models. © 2014 American Meteorological Society.
ÁreaMET
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Evaluation of modeling...
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/3GD3GC2
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP5W34M/3GD3GC2
Idiomaen
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 Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
VinculaçãoTrabalho não Vinculado à Tese/Dissertação
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.01.17.20 1
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 resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject targetfile tertiarytype url
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
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