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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/474P3JP
Repositorysid.inpe.br/plutao/2022/06.15.13.02
Metadata Repositorysid.inpe.br/plutao/2022/06.15.13.02.28
Metadata Last Update2023:01.03.16.52.55 (UTC) administrator
DOI10.1175/WAF-D-21-0143.1
ISSN0882-8156
Labellattes: 9873289111461387 5 JonesAhJaPeFrGr:2022:PrWaSy
Citation KeyJonesAhJaPeFrGr:2022:PrWaSy
TitlePrototype of a Warn-on-Forecast System for Smoke (WoFS-Smoke)
Year2022
Access Date2024, May 12
Type of Workjournal article
Secondary TypePRE PI
2. Context
Author1 Jones, Thomas
2 Ahmadov, Ravan
3 James, Eric
4 Pereira, Gabriel
5 Freitas, Saulo Ribeiro de
6 Grell, Georg
Resume Identifier1
2
3
4
5 8JMKD3MGP5W/3C9JJ7M
Group1
2
3
4
5 DIMNT-CGCT-INPE-MCTI-GOV-BR
Affiliation1 University of Oklahoma
2 University of Colorado
3 University of Colorado
4 Universidade Federal de São João del Rei (UFSJ)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 NOAA/OAR/Global Systems Laboratory
Author e-Mail Address1
2
3
4
5 saulo.r.de.freitas@gmail.com
JournalWeather And Forecasting
Volume1
Pages1
Secondary MarkA2_INTERDISCIPLINAR A2_GEOCIÊNCIAS
History (UTC)2022-06-15 13:02:28 :: lattes -> administrator ::
2022-06-20 15:21:31 :: administrator -> lattes :: 2022
2022-06-20 15:23:19 :: lattes -> administrator :: 2022
2023-01-03 16:52:55 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractThis research begins the process of creating an ensemble-based forecast system for smoke aerosols generated from wildfires using a modified version of the National Severe Storms Laboratory (NSSL) Warn-on-Forecast System (WoFS). The existing WoFS has proven effective in generating short term (0-3 hour) probabilistic forecasts of high impact weather events such as storm rotation, hail, severe winds, and heavy rainfall. However, it does not include any information on large smoke plumes generated from wildfires that impact air quality and the surrounding environment. The prototype WoFS-Smoke system is based on the deterministic High Resolution Rapid Refresh-Smoke (HRRR-Smoke) model. HRRR-Smoke runs over a continental United States (CONUS) domain with a 3 km horizontal grid spacing, with hourly forecasts out to 48 hours. The smoke plume injection algorithm in HRRR-Smoke is integrated into the WoFS forming WOFS-Smoke so that the advantages of the rapidly cycling, ensemble-based WoFS can be used to generate short term (0-3 hour) probabilistic forecasts of smoke. WoFS-Smoke forecasts from 3 wildfire cases during 2020 show that the system generates a realistic representation of wildfire smoke when compared against satellite observations. Comparison of smoke forecasts with radar data show that forecast smoke reaches higher levels than radar detected debris, but exceptions to this are noted. The radiative effect of smoke on surface temperature forecasts is evident, which reduces forecast errors compared to experiments that do not include smoke.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Prototype of a...
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4. Conditions of access and use
Languagept
User Grouplattes
Reader Groupadministrator
lattes
Visibilityshown
Archiving Policydenypublisher6 allowfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords lineage mark mirrorrepository month nextedition notes number numberoffiles orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle size sponsor subject targetfile tertiarymark tertiarytype url versiontype
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