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1. Identity statement
Reference TypeJournal Article
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Identifier8JMKD3MGP3W34T/47GEPMH
Repositorysid.inpe.br/mtc-m21d/2022/08.26.11.22
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DOI10.1175/BAMS-D-20-0329.1
ISSN0003-0007
Citation KeyChowYYJGCTFPGFA:2022:HiSmFo
TitleHigh-Resolution Smoke Forecasting for the 2018 Camp Fire in California
Year2022
MonthJune
Access Date2024, May 13
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1178 KiB
2. Context
Author 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
Resume Identifier 1
 2
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 4
 5
 6
 7
 8 8JMKD3MGP5W/3C9JJ7M
Group 1
 2
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 4
 5
 6
 7
 8 DIMNT-CGCT-INPE-MCTI-GOV-BR
Affiliation 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
Author e-Mail Address 1
 2
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 8 saulo.r.de.freitas@gmail.com
 9
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12 ravan.ahmadov@noaa.gov
JournalBulletin of the American Meteorological Society
Volume103
Number6
PagesE1531-E1552
Secondary MarkA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE
History (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. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsDispersion
Numerical weather prediction/forecasting
Aerosols/particulates

Air quality
Forest fires
Wildfires
AbstractSmoke 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.
AreaMET
ArrangementProdução a partir de 2021 > CGCT > High-Resolution Smoke Forecasting...
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zipped data URLhttp://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/47GEPMH
Languageen
Target File[15200477 - Bulletin of the American Meteorological Society] High-Resolution Smoke Forecasting for the 2018 Camp Fire in California_compressed.pdf
User Groupsimone
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Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.59.52 3
sid.inpe.br/bibdigital/2022/04.03.22.23 1
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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