1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34R/43L973S |
Repositório | sid.inpe.br/mtc-m21c/2020/11.23.11.55 |
Última Atualização | 2021:04.13.18.33.38 (UTC) administrator |
Repositório de Metadados | sid.inpe.br/mtc-m21c/2020/11.23.11.55.23 |
Última Atualização dos Metadados | 2022:01.04.01.35.38 (UTC) administrator |
DOI | 10.1175/WAF-D-20-0017.1 |
ISSN | 0882-8156 |
Rótulo | self-archiving-INPE-MCTIC-GOV-BR |
Chave de Citação | VendrascoMacRibFreNeg:2020:EvRaDa |
Título | Cloud-resolving model applied to nowcasting: An evaluation of radar data assimilation and microphysics parameterization |
Ano | 2020 |
Mês | Dec. |
Data de Acesso | 07 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 6499 KiB |
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2. Contextualização | |
Autor | 1 Vendrasco, Éder Paulo 2 Machado, Luiz Augusto Toledo 3 Ribeiro, B. Z. 4 Freitas, E. D. 5 Negri, Renato Galante |
Identificador de Curriculo | 1 2 8JMKD3MGP5W/3C9JHMS |
Grupo | 1 CGCPT-CGCPT-INPE-MCTIC-GOV-BR 2 DIDSA-CGCPT-INPE-MCTIC-GOV-BR 3 4 5 DIDSA-CGCPT-INPE-MCTIC-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 University at Albany 4 Universidade de São Paulo (USP) 5 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 2 luiz.machado@inpe.br |
Revista | Weather and Forecasting |
Volume | 35 |
Número | 6 |
Páginas | 2345-2365 |
Nota Secundária | A2_INTERDISCIPLINAR A2_GEOCIÊNCIAS |
Histórico (UTC) | 2020-11-23 11:55:23 :: simone -> administrator :: 2020-11-23 11:55:24 :: administrator -> simone :: 2020 2020-11-23 11:56:40 :: simone -> administrator :: 2020 2020-11-24 05:37:34 :: administrator -> simone :: 2020 2020-12-14 14:59:47 :: simone -> administrator :: 2020 2021-01-04 13:26:52 :: administrator -> self-uploading-INPE-MCTI-GOV-BR :: 2020 2021-04-13 18:33:39 :: self-uploading-INPE-MCTI-GOV-BR -> administrator :: 2020 2022-01-04 01:35:38 :: administrator -> simone :: 2020 |
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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 |
Resumo | This research explores the benefits of radar data assimilation for short-range weather forecasts in southeastern Brazil using the Weather Research and Forecasting (WRF) Models three-dimensional variational data assimilation (3DVAR) system. Different data assimilation options are explored, including the cycling frequency, the number of outer loops, and the use of null-echo assimilation. Initially, four microphysics parameterizations are evaluated (Thompson, Morrison, WSM6, and WDM6). The Thompson parameterization produces the best results, while the other parameterizations generally overestimate the precipitation forecast, especially WDSM6. Additionally, the Thompson scheme tends to overestimate snow, while the Morrison scheme overestimates graupel. Regarding the data assimilation options, the results deteriorate and more spurious convection occurs when using a higher cycling frequency (i.e., 30 min instead of 60 min). The use of two outer loops produces worse precipitation forecasts than the use of one outer loop, and the null-echo assimilation is shown to be an effective way to suppress spurious convection. However, in some cases, the null-echo assimilation also removes convective clouds that are not observed by the radar and/or are still not producing rain, but have the potential to grow into an intense convective cloud with heavy rainfall. Finally, a cloud convective mask was implemented using ancillary satellite data to prevent null-echo assimilation from removing potential convective clouds. The mask was demonstrated to be beneficial in some circumstances, but it needs to be carefully evaluated in more cases to have a more robust conclusion regarding its use. |
Área | MET |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Cloud-resolving model applied... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Cloud-resolving model applied... |
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://mtc-m21c.sid.inpe.br/ibi/8JMKD3MGP3W34R/43L973S |
URL dos dados zipados | http://mtc-m21c.sid.inpe.br/zip/8JMKD3MGP3W34R/43L973S |
Idioma | en |
Arquivo Alvo | vendrasco_cloud.pdf |
Grupo de Usuários | simone |
Visibilidade | shown |
Política de Arquivamento | denypublisher6 allowfinaldraft |
Permissão de Leitura | allow from all |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EUPEJL 8JMKD3MGPCW/43SRC6S |
Lista de Itens Citando | sid.inpe.br/bibdigital/2021/01.03.02.10 3 sid.inpe.br/bibdigital/2013/10.06.18.03 3 |
Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 |
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6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url versiontype |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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