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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/44SJPHF
Repositorysid.inpe.br/plutao/2021/06.16.16.00.31
Last Update2021:06.16.17.24.12 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2021/06.16.16.00.32
Metadata Last Update2022:04.03.22.27.10 (UTC) administrator
DOI10.3390/rs13112231
ISSN2072-4292
Labellattes: 3752951275341381 5 AlvimCAKHPCFFCBKN:2021:EvCaMo
Citation KeyAlvimCDKHPCFFCBKN:2021:EvCaMo
TitleEvaluating Carbon Monoxide and Aerosol Optical Depth Simulations from CAM-Chem Using Satellite Observations
Year2021
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size3187 KiB
2. Context
Author 1 Alvim, Débora Souza
 2 Chiquetto, Júlio Barboza
 3 D'Amelio, Monica Tais Siqueira
 4 Khalid, Bushra
 5 Herdies, Dirceu Luis
 6 Pendharkar, Jayant
 7 Corrêa, Sergio Machado
 8 Figueroa, Silvio Nilo
 9 Frassoni, Ariane
10 Capistrano, Vinicius Buscioli
11 Boian, Claudia
12 Kubota, Paulo Yoshio
13 Nobre, Paulo
Resume Identifier 1
 2
 3
 4
 5 8JMKD3MGP5W/3C9JGTU
 6
 7
 8
 9
10
11
12
13 8JMKD3MGP5W/3C9JJ3B
Group 1 DIMNT-CGCT-INPE-MCTI-GOV-BR
 2
 3
 4
 5 DIMNT-CGCT-INPE-MCTI-GOV-BR
 6 DIMNT-CGCT-INPE-MCTI-GOV-BR
 7
 8 DIMNT-CGCT-INPE-MCTI-GOV-BR
 9 DIMNT-CGCT-INPE-MCTI-GOV-BR
10
11
12 DIMNT-CGCT-INPE-MCTI-GOV-BR
13 DIMNT-CGCT-INPE-MCTI-GOV-BR
Affiliation 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 Universidade de São Paulo (USP)
 3 Universidade São Francisco (USF)
 4 Chinese Academy of Science
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Universidade do Estado do Rio de Janeiro (UERJ)
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Universidade Federal de Mato Grosso do Sul (UFMS)
11 Universidade Federal do ABC (UFABC)
12 Instituto Nacional de Pesquisas Espaciais (INPE)
13 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address 1 debora.alvim@inpe.br
 2 julio22@usp.br
 3 monica.felippe@usf.edu.br
 4 khalid@iiasa.ac.at
 5 dirceu.herdies@inpe.br
 6 jayant.pendharkar@inpe.br
 7 sergiomc@uerj.br
 8 nilo.figueroa@inpe.br
 9 ariane.frassoni@inpe.br
10 vinicius.capistrano@ufms.br
11 claudia.boian@ufabc.edu.br
12 paulo.kubota@inpe.br
13 paulo.nobre@inpe.br
JournalRemote Sensing
Volume13
Number11
Pages2231
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2021-06-16 16:15:41 :: lattes -> administrator :: 2021
2021-06-16 17:08:12 :: administrator -> lattes :: 2021
2021-06-16 17:24:12 :: lattes -> administrator :: 2021
2022-04-03 22:27:10 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsmonoxide
aerosol optical depth
FRP
MOPITT
MODIS
CAM-chem
AbstractThe scope of this work was to evaluate simulated carbon monoxide (CO) and aerosol optical depth (AOD) from the CAM-chem model against observed satellite data and additionally explore the empirical relationship of CO, AOD and fire radiative power (FRP). The simulated seasonal global concentrations of CO and AOD were compared, respectively, with the Measurements of Pollution in the Troposphere (MOPITT) and the Moderate-Resolution Imaging Spectroradiometer (MODIS) satellite products for the period 20102014. The CAM-chem simulations were performed with two configurations: (A) tropospheric-only; and (B) tropospheric with stratospheric chemistry. Our results show that the spatial and seasonal distributions of CO and AOD were reasonably reproduced in both model configurations, except over central China, central Africa and equatorial regions of the Atlantic and Western Pacific, where CO was overestimated by 1050 ppb. In configuration B, the positive CO bias was significantly reduced due to the inclusion of dry deposition, which was not present in the model configuration A. There was greater CO loss due to the chemical reactions, and shorter lifetime of the species with stratospheric chemistry. In summary, the model has difficulty in capturing the exact location of the maxima of the seasonal AOD distributions in both configurations. The AOD was overestimated by 0.1 to 0.25 over desert regions of Africa, the Middle East and Asia in both configurations, but the positive bias was even higher in the version with added stratospheric chemistry. By contrast, the AOD was underestimated over regions associated with anthropogenic activity, such as eastern China and northern India. Concerning the correlations between CO, AOD and FRP, high CO is found during MarchAprilMay (MAM) in the Northern Hemisphere, mainly in China. In the Southern Hemisphere, high CO, AOD, and FRP values were found during August SeptemberOctober (ASO) due to fires, mostly in South America and South Africa. In South America, high AOD levels were observed over subtropical Brazil, Paraguay and Bolivia. Sparsely urbanized regions showed higher correlations between CO and FRP (0.70.9), particularly in tropical areas, such as the western Amazon region. There was a high correlation between CO and aerosols from biomass burning at the transition between the forest and savanna environments over eastern and central Africa. It was also possible to observe the transport of these pollutants from the African continent to the Brazilian coast. High correlations between CO and AOD were found over southeastern Asian countries, and correlations between FRP and AOD (0.50.8) were found over higher latitude regions such as Canada and Siberia as well as in tropical areas. Higher correlations between CO and FRP are observed in Savanna and Tropical forests (South America, Central America, Africa, Australia, and Southeast Asia) than FRP x AOD. In contrast, boreal forests in Russia, particularly in Siberia, show a higher FRP x AOD correlation than FRP x CO. In tropical forests, CO production is likely favored over aerosol, while in temperate forests, aerosol production is more than CO compared to tropical forests. On the east coast of the United States, the eastern border of the USA with Canada, eastern China, on the border between China, Russia, and Mongolia, and the border between North India and China, there is a high correlation of CO x AOD and a low correlation between FRP with both CO and AOD. Therefore, such emissions in these regions are not generated by forest fires but by industries and vehicular emissions since these are densely populated regions.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Evaluating Carbon Monoxide...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W/44SJPHF
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/44SJPHF
Languageen
Target Fileremotesensing-13-02231-v2-compactado.pdf
Reader Groupadministrator
lattes
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.57.54 2
sid.inpe.br/bibdigital/2022/04.03.22.23 2
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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