Fechar
Metadados

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/43QQTMB
Repositóriosid.inpe.br/mtc-m21c/2020/12.21.16.36
Última Atualização2020:12.21.16.36.27 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/12.21.16.36.28
Última Atualização dos Metadados2021:01.08.15.17.20 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.5194/egusphere-egu2020-6445
Chave de CitaçãoVelaAlVeHeFiPe:2020:NeMoFr
TítuloA new modeling framework for air pollution forecasting in South America
Ano2020
Data de Acesso09 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho292 KiB
2. Contextualização
Autor1 Vela, Angel Vara
2 Alvim, Débora Souza
3 Vendrasco, Eder Paulo
4 Herdies, Dirceu Luís
5 Figueroa, Silvio Nilo
6 Pendharkar, Jayant
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JGTU
ORCID1 0000-0002-4972-4486
Grupo1
2 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
3 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
4 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
5 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
6 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
Afiliação1 Universidade de São Paulo (USP)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2 deborasalvim@gmail.com
3 edervendrasco@gmail.com
4 dirceu.herdies@inpe.br
5 nilo.figueroa@inpe.br
6 jayantkp2979@gmail.com
Nome do EventoEGU General Assembly
Localização do EventoOnline
Data04-08 May
Histórico (UTC)2020-12-21 16:36:53 :: simone -> administrator :: 2020
2021-01-08 15:17:20 :: administrator -> simone :: 2020
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoBiomass burning episodes are quite common in the central region of South America and represent the dominant aerosol sources during the dry/burning, between August and October. Large amounts of trace gases and aerosols injected into the atmosphere from these fire events can then be efficiently transported to urban areas in southeastern South America, thus affecting air quality over those areas. Observational data have been of fundamental importance to understand the evolution and interaction of biomass burning products with meteorology and chemistry. However, supplementing this information with the use of a comprehensive air quality modeling system in order to anticipate very acute air pollution episodes, and thus avoiding severe impacts on human health, is also required. Considering this, a new regional air pollution modeling framework for South America is being implemented by the Center for Weather Forecasting and Climate Studies (CPTEC), the National Weather Service of Brazil. This new system, based on the Weather Research and Forecasting with Chemistry model (WRF-Chem; Grell et al., 2005), is being run experimentally and its operational implementation is underway. The forecasts were driven by global forecast data from the GFS-FV3 model for meteorology and from the WACCM model for chemistry, both data sets provided every 6 hours. WACCM forecasts are employed to map gas and aerosol background concentrations to the WRF-Chem initial and boundary conditions, according to the MOZCART chemical mechanism. Two experiments of 48-hour real-time forecast simulations were performed, on a daily basis, during August and September of 2018 and 2019. The experiment for 2019 includes the very strong 3-week forest fire event when the Metropolitan Area of São Paulo, the largest metropolitan area in South America, plunged into darkness on August 19, with day turning into night. Model results are in good domain-wide agreement with satellite data and also with in situ measurements. Besides forecasts of meteorological parameters, this new system provides forecasts of regional distributions of primary chemical species (CO, SO2, NOx, particulate matter including black carbon), of secondary species (ozone, secondary organic aerosols) and air pollution related health indices, all parameters with a resolution of 20 km and for the next 72 hours.
ÁreaMET
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > A new modeling...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 21/12/2020 13:36 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21c.sid.inpe.br/ibi/8JMKD3MGP3W34R/43QQTMB
URL dos dados zipadoshttp://mtc-m21c.sid.inpe.br/zip/8JMKD3MGP3W34R/43QQTMB
Idiomaen
Arquivo AlvoEGU2020-6445-print.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2017/11.22.19.04.03
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.44.41 2
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor format isbn issn keywords label lineage mark nextedition notes numberofvolumes organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Controle da descrição
e-Mail (login)simone
atualizar 


Fechar