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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/3GDQ3E5
Repositóriosid.inpe.br/plutao/2014/06.03.18.32
Última Atualização2014:09.18.17.40.03 (UTC) administrator
Repositório de Metadadossid.inpe.br/plutao/2014/06.03.18.32.36
Última Atualização dos Metadados2018:06.04.23.39.28 (UTC) administrator
Rótulolattes: 9435846940733081 3 ZepkaAzaVarSchPin:2014:PRLIHE
Chave de CitaçãoZepkaAzaVarSarPin:2014:PrHePr
TítuloPredicting heavy precipitation and lightning for a mesoscale convective system case over southern Brazil
ProjetoFAPESP (grant numbers 08/56711-4 and 2011/17806-2).
Ano2014
Data de Acesso25 abr. 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho3266 KiB
2. Contextualização
Autor1 Zepka, Gisele dos Santos
2 Azambuja, Rodrigo R.
3 Vargas Junior, Vanderlei Rocha de
4 Saraiva, Antonio Carlos Varela
5 Pinto Junior, Osmar
Identificador de Curriculo1
2
3
4
5 8JMKD3MGP5W/3C9JJ2E
Grupo1 DGE-CEA-INPE-MCTI-GOV-BR
2
3 GES-CEA-SPG-INPE-MCTI-GOV-BR
4 DGE-CEA-INPE-MCTI-GOV-BR
5 CST-CST-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 gisele.zepka@inpe.br
2
3
4 antonio@dge.inpe.br
5 osmar@dge.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
Nome do EventoInternational Lightning Detection Conference, 23 (ILDC); and International Lightning Meteorology Conference, 5 (ILMC).
Localização do EventoTucson, USA
Datamar. 18-19, 2014 / mar. 20-21, 2014
Título do LivroAnais
Tipo TerciárioArtigo
Histórico (UTC)2014-06-03 18:32:36 :: lattes -> administrator ::
2018-06-04 23:39:28 :: administrator -> marcelo.pazos@inpe.br :: 2014
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-Chavelightning
precipitation
mesoscale convective system
WRF model
PLR
cumulus parameterizations
ResumoOn December 10th through 11th 2012, a strong convection activity over southern Brazil grew into a huge Mesoscale Convective System (MCS) accompanied by heavy precipitation, hailstorm, damaging winds and dangerous lightning. The Civil Defense Authority reported that over 700,000 people experienced power outages due to either strong winds or lightning strikes or even suffered from flash floods caused by high rain volumes. The Brazilian Lightning Location System (BrasilDAT) detected more than 90,000 cloud-to-ground (CG) lightning strikes during the MCS activity, and approximately 4,000 CG strokes presented large peak currents over 75 kA. The main objectives of this work were to achieve the most suitable configuration of the Weather Research and Forecasting (WRF) model, and to apply the Potential Lightning Region (PLR) tool, in order to forecast reliably this type of severe weather event with enough time in advance to adopt strategies that might minimize injuries and hazardous situations in the future. Firstly, the CG and IC lightning stroke rates, the peak currents distribution, and the IC/CG ratio were evaluated. Observed precipitation from a homogeneous network of surface meteorological stations was used as proxy data. Lightning and precipitation were compared during the MCS development in order to seek for correlations. As well known, current operational models cannot predict convective subgrid scale processes explicitly, due to their microscopic and discontinuous nature, and must do so via parameterization. In this case, a cumulus scheme should try to transport heat vertically, redistribute moisture, and reduce thermodynamic instability. Four cumulus parameterization schemes (CPS) in the WRFv3.3.1 model were investigated to proper simulate this MCS over southern Brazil. WRF grid points near meteorological stations with high accumulated precipitation values were chosen in order to assess the behavior of the simulated data against the observations. The Potential Lightning Region (PLR) is a tool that indicates the spatial distribution of lightning occurrence probabilities in a given area. PLR was developed from a combination of WRF output variables, and operationally tested over southeastern Brazil. The WRF convective parameterization selected from the previous analysis was used to generate new PLR maps over southern Brazil for the MCS. This case study served as a laboratory to expand PLR capabilities in the prediction of severe weather events.
ÁreaCEA
Arranjo 1urlib.net > DIDGE > Predicting heavy precipitation...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Predicting heavy precipitation...
Arranjo 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Predicting heavy precipitation...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W/3GDQ3E5
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W/3GDQ3E5
Idiomapt
Arquivo AlvoZepka et al- Predicting Heavy Precipitation and Lightning for a MCS Case Over Southern Brazil-2014-ILDC-ILMC.pdf
Grupo de Usuárioslattes
marcelo.pazos@inpe.br
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
VinculaçãoTrabalho não Vinculado à Tese/Dissertação
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3EU29DP
8JMKD3MGPCW/3F2PBEE
8JMKD3MGPCW/3F3T29H
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.57.30 1
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor format isbn issn lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress publisher publisheraddress rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject type url volume
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
atualizar 


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