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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/45U89Q2
Repositóriosid.inpe.br/plutao/2021/12.09.15.36
Última Atualização2021:12.15.12.13.24 (UTC) lattes
Repositório de Metadadossid.inpe.br/plutao/2021/12.09.15.36.26
Última Atualização dos Metadados2022:04.03.22.27.18 (UTC) administrator
ISSN1991-962X
1991-9611
Rótulolattes: 8285827971934692 4 BañosMaGeSaCaNa:2021:AsDaAs
Chave de CitaçãoBañosMaGeSaCaNa:2021:AsDaAs
TítuloAssessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of convective storms
Ano2021
Data de Acesso19 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho7354 KiB
2. Contextualização
Autor1 Baños, Ivette Hernandes
2 Mayfield, Will D.
3 Ge, Guoqing
4 Sapucci, Luiz Fernando
5 Carley, Jacob R.
6 Nance, Louisa
Grupo1 MET-MET-DIPGR-INPE-MCTI-GOV-BR
2
3
4 DIMNT-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 National Center for Atmospheric Research
3 NOAA Global Systems Laboratory
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 NOAA/NCEP Environmental Modeling Center
6 National Center for Atmospheric Research
Endereço de e-Mail do Autor1 ibanos90@gmail.com
2
3
4 lsapucci@gmail.com
RevistaGeoscientific Model Development Discussions
Volume2021
Número36
Páginas1
Nota SecundáriaB4_INTERDISCIPLINAR B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS
Histórico (UTC)2021-12-09 15:36:26 :: lattes -> administrator ::
2021-12-15 12:11:39 :: administrator -> lattes :: 2021
2021-12-15 12:13:25 :: lattes -> administrator :: 2021
2022-04-03 22:27:18 :: 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-ChaveData assimilation
Convective process
Rapid Refresh Forecast System
Resumo. The Rapid Refresh Forecast System (RRFS) is currently under development and aims to replace the National Centers for Environmental Prediction (NCEP) operational suite of regional and convective scale modeling systems in the next upgrade. In order to achieve skillful forecasts comparable to the current operational suite, each component of the RRFS needs to be configured through exhaustive testing and evaluation. The current data assimilation component uses the Gridpoint Statistical Interpolation (GSI) system. In this study, various data assimilation algorithms and configurations in GSI are assessed for their impacts on RRFS analyses and forecasts of a squall line over Oklahoma on 4 May 2020. Results show that a baseline RRFS run without data assimilation is able to represent the observed convection, but with stronger cells and large location errors. With data assimilation, these errors are reduced, especially in the 4 and 6 h forecasts using 75 % of the ensemble background error covariance (BEC) and with the supersaturation removal function activated in GSI. Decreasing the vertical ensemble localization radius in the first 10 layers of the hybrid analysis results in overall less skillful forecasts. Convection and precipitation are overforecast in most forecast hours when using planetary boundary layer pseudo-observations, but the root mean square error and bias of the 2 h forecast of 2 m dew point temperature are reduced by 1.6 K during the afternoon hours. Lighter hourly accumulated precipitation is predicted better when using 100 % ensemble BEC in the first 4 h forecast, but heavier hourly accumulated precipitation is better predicted with 75 % ensemble BEC. Our results provide insight into current capabilities of the RRFS data assimilation system and identify configurations that should be considered as candidates for the first version of RRFS.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Assessment of the...
Arranjo 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessment of the...
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/8JMKD3MGP3W/45U89Q2
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W/45U89Q2
Idiomaen
Arquivo Alvobanos_assessment.pdf
Grupo de Usuárioslattes
Grupo de Leitoresadministrator
lattes
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 3
sid.inpe.br/bibdigital/2022/04.03.22.23 2
URL (dados não confiáveis)https://gmd.copernicus.org/preprints/gmd-2021-289/
DivulgaçãoPORTALCAPES
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype
7. Controle da descrição
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