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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorQABCDSTQQW/468R6FE
Repositóriourlib.net/www/2022/01.25.13.14
Repositório de Metadadosurlib.net/www/2022/01.25.13.14.21
Última Atualização dos Metadados2023:01.03.16.46.28 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoInouyeVeHeCaBePa:2022:UsRaDa
TítuloThe Use of the Radar Data Assimilation to Improve Short-Range Forecasts of Precipitation
Ano2022
Data de Acesso07 maio 2024
Tipo SecundárioPRE CI
2. Contextualização
Autor1 Inouye, Rafael Toshio
2 Vendrasco, Eder Paulo
3 Herdies, Dirceu Luís
4 Calvetti, Leonardo
5 Beneti, Cesar
6 Paz, Sheila
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JGTU
Grupo1
2 DIMNT-CGCT-INPE-MCTI-GOV-BR
3 DIMNT-CGCT-INPE-MCTI-GOV-BR
Afiliação1 SIMEPAR
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade Federal de Pelotas (UFPel)
5 SIMEPAR
6 SIMEPAR
Endereço de e-Mail do Autor1
2 edervendrasco@gmail.com
3 dirceu.herdies@inpe.br
Nome do EventoAmerican Meteorological Society Annual Meeting, 102
Localização do EventoHouston, Texas
Data23-27 jan. 2022
Editora (Publisher)AMS
Histórico (UTC)2022-01-25 13:14:21 :: simone -> administrator ::
2022-07-08 16:51:17 :: administrator -> simone :: 2022
2022-12-20 14:27:44 :: simone -> administrator :: 2022
2023-01-03 16:46:28 :: administrator -> simone :: 2022
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo de Versãopublisher
ResumoRegions such as South America and especially the southern region of Brazil are at the center of extreme events, with the occurrence of several phenomena of extreme impact, with large volumes of precipitation and intense winds, including the occurrence of tornadoes, which have become more frequent and affected the lives of thousands of people, causing material damage and loss of human life. In this sense, several works have been developed to improve the quality of the analyzes and mainly the short-term forecast. The use of radar data has been shown to be fundamental for forecasting up to 6 h. Using the WRF model and its data assimilation component, several experiments were carried out. The reflectivity and radial wind data from the Paraná state radar data mosaic were prepared for its use in assimilation. In this work, the results of these experiments will be presented, as well as the use of the reflectivity null echo assimilation procedure, in order to suppress the spurious precipitation effects of the model. Besides, data from local surface station network were also assimilated and compared to the experiments assimilating radar data over Parana State in Brazil. All the experiments performed better than the control run, with no data assimilation, at least in the first few hours of simulation. The main impact observed was the simulation of convective areas when radar data assimilation was used and, of course, the convection was detected in the radar coverage area. These results indicated that the mixing ratio distribution could be better solved when factor reflectivity from weather radar is used in the simulations for severe weather.
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Visibilidadeshown
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
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6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url volume
7. Controle da descrição
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