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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/47LD8GS
Repositóriosid.inpe.br/plutao/2022/09.19.17.19
Última Atualização2022:09.19.17.19.55 (UTC) simone
Repositório de Metadadossid.inpe.br/plutao/2022/09.19.17.19.55
Última Atualização dos Metadados2023:01.03.16.52.56 (UTC) administrator
DOI10.5194/gmd-15-6891-2022
ISSN1991-959X
Rótulolattes: 8285827971934692 4 BañosMaGeSaCaNa:2021:AsDaAs
Chave de CitaçãoBañosMaGeSaCaNa:2022:AsDaAs
TítuloAssessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a convective storm case study
Ano2022
Data de Acesso17 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho29610 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
Volume15
Número17
Páginas6891-6917
Histórico (UTC)2022-09-19 17:20:09 :: simone -> administrator :: 2022
2023-01-03 16:52:56 :: administrator -> simone :: 2022
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
ResumoThe 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 hybrid three-dimensional ensemble-variational data assimilation (3DEnVar) algorithm in 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. A domain of 3 km horizontal grid spacing is configured, and hourly update cycles are performed using initial and lateral boundary conditions from the 3 km grid High-Resolution Rapid Refresh (HRRR). Results show that a baseline RRFS run is able to represent the observed convection, although 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 25 % of the static BEC with the supersaturation removal function activated in GSI. Decreasing the vertical ensemble localization radius from 3 layers to 1 layer in the first 10 layers of the hybrid analysis results in overall less skillful forecasts. Convection is greatly improved when using planetary boundary layer pseudo-observations, especially at 4h forecast, and the bias of the 2 h forecast of temperature is reduced below 800 hPa. 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 the current capabilities of the RRFS data assimilation system and identify configurations that should be considered as candidates for the first version of RRFS.
ÁreaMET
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W/47LD8GS
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W/47LD8GS
Idiomaen
Arquivo Alvogmd-15-6891-2022.pdf
Grupo de Usuárioslattes
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Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/46KUATE
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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