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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/48AKFR5
Repositóriosid.inpe.br/mtc-m21d/2023/01.03.17.11   (acesso restrito)
Última Atualização2023:01.03.17.11.30 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2023/01.03.17.11.30
Última Atualização dos Metadados2023:07.05.15.38.14 (UTC) simone
DOI10.1016/j.atmosres.2022.106456
ISSN0169-8095
Chave de CitaçãoCorralesGRSDSSSN:2023:HoAsDi
TítuloHourly assimilation of different sources of observations including satellite radiances in a mesoscale convective system case during RELAMPAGO campaign
Ano2023
MêsJan.
Data de Acesso26 jun. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho13689 KiB
2. Contextualização
Autor1 Corrales, Paola Belen
2 Galligani, V.
3 Ruiz, Juan
4 Sapucci, Luiz Fernando
5 Dillon, Maria Eugenia
6 Skabar, Yanina Garcia
7 Sacco, Maximiliano
8 Schwartz, Craig S.
9 Nesbitt, Stephen W.
Grupo1
2
3
4 DIMNT-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Universidad de Buenos Aires (UBA)
2 Universidad de Buenos Aires (UBA)
3 Universidad de Buenos Aires (UBA)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Servicio Meteorologico Nacional de Argentina
6 Servicio Meteorologico Nacional de Argentina
7 Servicio Meteorologico Nacional de Argentina
8 National Center for Atmospheric Research
9 University of Illinois Urbana–Champaign
Endereço de e-Mail do Autor1 paola.corrales@cima.fcen.uba.ar
2
3
4 lsapucci@gmail.com
RevistaAtmospheric Research
Volume281
Páginase106456
Nota SecundáriaA1_INTERDISCIPLINAR A1_CIÊNCIAS_AMBIENTAIS A2_GEOCIÊNCIAS A2_CIÊNCIAS_AGRÁRIAS_I B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_ENGENHARIAS_IV B1_ENGENHARIAS_III B1_ENGENHARIAS_II B1_BIODIVERSIDADE B2_ASTRONOMIA_/_FÍSICA
Histórico (UTC)2023-01-03 17:11:30 :: simone -> administrator ::
2023-01-03 17:11:31 :: administrator -> simone :: 2023
2023-01-03 17:12:22 :: simone -> administrator :: 2023
2023-07-04 14:19:23 :: administrator -> simone :: 2023
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-ChaveRegional data assimilation
Surface observations
Satellite observations
ResumoThis paper evaluates the impact of assimilating high-resolution surface networks and satellite observations using the WRF-GSI-LETKF over central and north eastern Argentina where the surface and upper air observing networks are relatively coarse. A case study corresponding to a huge mesoscale convective system (MCS) that developed during November 22, 2018 was used. The accumulated precipitation associated with this MCS was quite high, exceeding 200 mm over northern Argentina and Paraguay. The MCS developed during the Intense Observing Period (IOP) of the Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) field campaign. The GSI-4DLETKF data assimilation package is used to produce analyses by assimilating observations every hour with 10-km horizontal grid spacing and a 60member multiphysics ensemble. Four assimilation experiments are conducted using different sets of observations: CONV, consisting of conventional observations from NCEP's prepBUFR files; AWS, combining CONV and dense automatic surface weather station networks (AWS), SATWND, combining AWS with satellite-derived winds, and RAD, including SATWND; and satellite radiances from different microwave and infrared sensors. The assimilation of observations with high temporal and spatial frequency generates an important impact on the PBL, primarily on the precipitable water content, that leads to the development of deep convection and heavy precipitation closer to the observed in this case study. The assimilation of radiance observations produces a better development of the convection mainly during the mature state of the MCS leading to an increase in the accumulated precipitation. Ensemble forecasts initialized from each experiment were also simulated to evaluate their skill to predict precipitation. The hourly assimilation of the observations in AWS, SATWND, and RAD helped to improve the precipitation forecast.
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1-s2.0-S0169809522004422-main.pdf
Grupo de Usuáriosself-uploading-INPE-MCTI-GOV-BR
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Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
VinculaçãoTrabalho não Vinculado à Tese/Dissertação
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 3
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; 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 number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarytype url
7. Controle da descrição
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