| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGP3W/45U89RM |
| Repository | sid.inpe.br/plutao/2021/12.09.15.36.46 |
| Last Update | 2021:12.13.19.00.21 (UTC) administrator |
| Metadata Repository | sid.inpe.br/plutao/2021/12.09.15.36.47 |
| Metadata Last Update | 2022:06.12.13.05.07 (UTC) administrator |
| DOI | 10.1175/BAMS-D-21-0018.1 |
| ISSN | 0003-0007 |
| Label | lattes: 3752951275341381 2 VaraVelaHeAlVeFiPeFe:2021:NePrFr |
| Citation Key | Vara-VelaHeAlVeFiPeRe:2021:NePrFr |
| Title | A new predictive framework for Amazon forest fire smoke dispersion over South America  |
| Year | 2021 |
| Access Date | 2024, May 19 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 6638 KiB |
| 2. Context | |
| Author | 1 Vara-Vela, Angel Liduvino 2 Herdies, Dirceu Luis 3 Alvim, Débora Souza 4 Vendrasco, Éder Paulo 5 Figueroa, Silvio Nilo 6 Pendharkar, Jayant 7 Reyes Fernandez, Julio Pablo |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JGTU 3 4 5 6 7 8JMKD3MGP5W/3C9JHKJ |
| Group | 1 2 DIMNT-CGCT-INPE-MCTI-GOV-BR 3 DIMNT-CGCT-INPE-MCTI-GOV-BR 4 DIMNT-CGCT-INPE-MCTI-GOV-BR 5 DIMNT-CGCT-INPE-MCTI-GOV-BR 6 DIMNT-CGCT-INPE-MCTI-GOV-BR 7 DIMNT-CGCT-INPE-MCTI-GOV-BR |
| Affiliation | 1 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) 7 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 2 dirceu.herdies@inpe.br 3 deborasalvim@gmail.com 4 edervendrasco@gmail.com 5 nilo.figueroa@inpe.br 6 jayantkp2979@gmail.com 7 jprf.clarice@gmail.com |
| Journal | Bulletin of The American Meteorological Society |
| Volume | 21 |
| Pages | 1-43 |
| Secondary Mark | A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE |
| History (UTC) | 2021-12-09 15:54:51 :: lattes -> administrator :: 2021 2021-12-13 18:57:51 :: administrator -> lattes :: 2021 2021-12-16 19:01:40 :: lattes -> administrator :: 2021 2022-06-12 13:05:07 :: administrator -> simone :: 2021 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Version Type | publisher |
| Keywords | Model evaluation/performance Regional models Aerosols/particulates Air pollution Air quality Atmospheric composition |
| Abstract | Aerosol particles from forest fire events in the Amazon can be effectively transported to urban areas in southeastern South America, thus affecting the air quality over those regions. A combination of observational data and a comprehensive air quality modeling system capable of anticipating acute air pollution episodes is therefore required. A new predictive framework for Amazon forest fire smoke dispersion over South America has been developed based on the Weather Research and Forecasting with Chemistry community (WRF-Chem) model. Two experiments of 48-h simulations over South America were performed by using this system at 20-km horizontal resolution, on a daily basis, during August and September of 2018 and 2019. The experiment in 2019 included the very strong 3-week forest fire event, when the São Paulo metropolitan area, located in southeastern South America, was plunged into darkness on August 19. The model results were satisfactorily compared against satellite-based data products and in situ measurements collected from air quality monitoring sites. The system is executed daily immediately after the CPTEC Satellite Division releases the latest active fire locations data and provides 48-h forecasts of regional distributions of chemical species such as CO, PM2.5, and O3 . The new modeling system will be used as a benchmark within the framework of the Chemistry of the AtmosphereField Experiment in Brazil (CAFE-Brazil) project, which will take place in 2022 over the Amazon. |
| Area | MET |
| Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > A new predictive... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/8JMKD3MGP3W/45U89RM |
| zipped data URL | http://urlib.net/zip/8JMKD3MGP3W/45U89RM |
| Language | en |
| Target File | [15200477 - Bulletin of the American Meteorological Society] A New Predictive Framework for Amazon Forest Fire Smoke Dispersion over South America.pdf |
| Visibility | shown |
| Archiving Policy | denypublisher6 allowfinaldraft |
| Read Permission | allow from all |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/46KUATE |
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.53.04 6 sid.inpe.br/mtc-m21/2012/07.13.14.44.41 1 |
| Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url usergroup |
| 7. Description control | |
| e-Mail (login) | simone |
| update | |