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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/43L973S
Repositóriosid.inpe.br/mtc-m21c/2020/11.23.11.55
Última Atualização2021:04.13.18.33.38 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/11.23.11.55.23
Última Atualização dos Metadados2022:01.04.01.35.38 (UTC) administrator
DOI10.1175/WAF-D-20-0017.1
ISSN0882-8156
Rótuloself-archiving-INPE-MCTIC-GOV-BR
Chave de CitaçãoVendrascoMacRibFreNeg:2020:EvRaDa
TítuloCloud-resolving model applied to nowcasting: An evaluation of radar data assimilation and microphysics parameterization
Ano2020
MêsDec.
Data de Acesso07 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho6499 KiB
2. Contextualização
Autor1 Vendrasco, Éder Paulo
2 Machado, Luiz Augusto Toledo
3 Ribeiro, B. Z.
4 Freitas, E. D.
5 Negri, Renato Galante
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHMS
Grupo1 CGCPT-CGCPT-INPE-MCTIC-GOV-BR
2 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
3
4
5 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
Afiliação1 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 Autor1
2 luiz.machado@inpe.br
RevistaWeather and Forecasting
Volume35
Número6
Páginas2345-2365
Nota SecundáriaA2_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
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoThis 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.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Cloud-resolving model applied...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Cloud-resolving model applied...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 23/11/2020 08:55 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21c.sid.inpe.br/ibi/8JMKD3MGP3W34R/43L973S
URL dos dados zipadoshttp://mtc-m21c.sid.inpe.br/zip/8JMKD3MGP3W34R/43L973S
Idiomaen
Arquivo Alvovendrasco_cloud.pdf
Grupo de Usuáriossimone
Visibilidadeshown
Política de Arquivamentodenypublisher6 allowfinaldraft
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/43SRC6S
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.03.02.10 3
sid.inpe.br/bibdigital/2013/10.06.18.03 3
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal 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
7. Controle da descrição
e-Mail (login)simone
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