1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | plutao.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W/47LD8GS |
Repositório | sid.inpe.br/plutao/2022/09.19.17.19 |
Última Atualização | 2022:09.19.17.19.55 (UTC) simone |
Repositório de Metadados | sid.inpe.br/plutao/2022/09.19.17.19.55 |
Última Atualização dos Metadados | 2023:01.03.16.52.56 (UTC) administrator |
DOI | 10.5194/gmd-15-6891-2022 |
ISSN | 1991-959X |
Rótulo | lattes: 8285827971934692 4 BañosMaGeSaCaNa:2021:AsDaAs |
Chave de Citação | BañosMaGeSaCaNa:2022:AsDaAs |
Título | Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a convective storm case study |
Ano | 2022 |
Data de Acesso | 17 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 29610 KiB |
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2. Contextualização | |
Autor | 1 Baños, Ivette Hernandes 2 Mayfield, Will D. 3 Ge, Guoqing 4 Sapucci, Luiz Fernando 5 Carley, Jacob R. 6 Nance, Louisa |
Grupo | 1 MET-MET-DIPGR-INPE-MCTI-GOV-BR 2 3 4 DIMNT-CGCT-INPE-MCTI-GOV-BR |
Afiliação | 1 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 Autor | 1 ibanos90@gmail.com 2 3 4 lsapucci@gmail.com |
Revista | Geoscientific Model Development |
Volume | 15 |
Número | 17 |
Páginas | 6891-6917 |
Histórico (UTC) | 2022-09-19 17:20:09 :: simone -> administrator :: 2022 2023-01-03 16:52:56 :: administrator -> simone :: 2022 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Data 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 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. |
Área | MET |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Assessment of the... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessment of the... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
URL dos dados | http://urlib.net/ibi/8JMKD3MGP3W/47LD8GS |
URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W/47LD8GS |
Idioma | en |
Arquivo Alvo | gmd-15-6891-2022.pdf |
Grupo de Usuários | lattes simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Política de Arquivamento | allowpublisher allowfinaldraft |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3F35TRS 8JMKD3MGPCW/46KUATE |
Divulgação | WEBSCI; PORTALCAPES. |
Acervo Hospedeiro | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notas | |
Campos Vazios | alternatejournal 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 |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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