| 1. Identificação | ||||
| Tipo de Referência | Artigo em Revista Científica (Journal Article) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34T/47GEPMH | |||
| Repositório | sid.inpe.br/mtc-m21d/2022/08.26.11.22 | |||
| Última Atualização | 2022:08.26.11.29.29 (UTC) administrator | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21d/2022/08.26.11.22.01 | |||
| Última Atualização dos Metadados | 2023:01.10.11.43.05 (UTC) administrator | |||
| DOI | 10.1175/BAMS-D-20-0329.1 | |||
| ISSN | 0003-0007 | |||
| Chave de Citação | ChowYYJGCTFPGFA:2022:HiSmFo | |||
| Título | High-Resolution Smoke Forecasting for the 2018 Camp Fire in California  | |||
| Ano | 2022 | |||
| Mês | June | |||
| Data de Acesso | 18 maio 2024 | |||
| Tipo de Trabalho | journal article | |||
| Tipo Secundário | PRE PI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 1178 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Chow, Fotini Katopodes 2 Yu, Katelyn A. 3 Young, Alexander 4 James, Eric 5 Grell, Georg A. 6 Csiszar, Ivan 7 Tsidulko, Marina 8 Freitas, Saulo Ribeiro de 9 Pereira, Gabriel 10 Giglio, Louis 11 Friberg, Mariel D. 12 Ahmadov, Ravan | |||
| Identificador de Curriculo | 1 2 3 4 5 6 7 8 8JMKD3MGP5W/3C9JJ7M | |||
| Grupo | 1 2 3 4 5 6 7 8 DIMNT-CGCT-INPE-MCTI-GOV-BR | |||
| Afiliação | 1 University of California 2 University of California 3 University of California 4 University of Colorado Boulder 5 NOAA Global Systems Laboratory 6 NOAA National Environmental Satellite 7 I.M. Systems Group 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 Universidade Federal de São João del Rey (UFSJ) 10 University of Maryland 11 —NASA GSFC 12 University of Colorado Boulder | |||
| Endereço de e-Mail do Autor | 1 2 3 4 5 6 7 8 saulo.r.de.freitas@gmail.com 9 10 11 12 ravan.ahmadov@noaa.gov | |||
| Revista | Bulletin of the American Meteorological Society | |||
| Volume | 103 | |||
| Número | 6 | |||
| Páginas | E1531-E1552 | |||
| Nota Secundária | A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE | |||
| Histórico (UTC) | 2022-08-26 11:22:01 :: simone -> administrator :: 2022-08-26 11:22:01 :: administrator -> simone :: 2022 2022-08-26 11:29:30 :: simone -> administrator :: 2022 2023-01-10 11:43:05 :: administrator -> simone :: 2022 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Tipo de Versão | publisher | |||
| Palavras-Chave | Dispersion Numerical weather prediction/forecasting Aerosols/particulates Air quality Forest fires Wildfires | |||
| Resumo | Smoke from the 2018 Camp Fire in Northern California blanketed a large part of the region for 2 weeks, creating poor air quality in the "unhealthy" range for millions of people. The NOAA Global System Laboratory's HRRR-Smoke model was operating experimentally in real time during the Camp Fire. Here, output from the HRRR-Smoke model is compared to surface observations of PM2.5 from AQS and PurpleAir sensors as well as satellite observation data. The HRRR-Smoke model at 3-km resolution successfully simulated the evolution of the plume during the initial phase of the fire (8-10 November 2018). Stereoscopic satellite plume height retrievals were used to compare with model output (for the first time, to the authors' knowledge), showing that HRRR-Smoke is able to represent the complex 3D distribution of the smoke plume over complex terrain. On 15-16 November, HRRR-Smoke was able to capture the intensification of PM2.5 pollution due to a high pressure system and subsidence that trapped smoke close to the surface; however, HRRR-Smoke later underpredicted PM2.5 levels due to likely underestimates of the fire radiative power (FRP) derived from satellite observations. The intensity of the Camp Fire smoke event and the resulting pollution during the stagnation episodes make it an excellent test case for HRRR-Smoke in predicting PM2.5 levels, which were so high from this single fire event that the usual anthropogenic pollution sources became insignificant. The HRRR-Smoke model was implemented operationally at NOAA/NCEP in December 2020, now providing essential support for smoke forecasting as the impact of U.S. wildfires continues to increase in scope and magnitude. | |||
| Área | MET | |||
| Arranjo | urlib.net > Produção a partir de 2021 > CGCT > High-Resolution Smoke Forecasting... | |||
| 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://urlib.net/ibi/8JMKD3MGP3W34T/47GEPMH | |||
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W34T/47GEPMH | |||
| Idioma | en | |||
| Arquivo Alvo | [15200477 - Bulletin of the American Meteorological Society] High-Resolution Smoke Forecasting for the 2018 Camp Fire in California_compressed.pdf | |||
| Grupo de Usuários | simone | |||
| Visibilidade | shown | |||
| Política de Arquivamento | denypublisher6 allowfinaldraft | |||
| Permissão de Leitura | allow from all | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/46KUATE | |||
| Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.59.52 3 sid.inpe.br/bibdigital/2022/04.03.22.23 2 | |||
| Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX. | |||
| Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notas | ||||
| Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||