Close

1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4B3HKUL
Repositorysid.inpe.br/mtc-m21d/2024/04.02.11.09   (restricted access)
Last Update2024:04.02.11.09.54 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2024/04.02.11.09.55
Metadata Last Update2024:04.12.10.00.15 (UTC) administrator
DOI10.1016/j.atmosenv.2024.120398
ISSN1352-2310
Citation KeySchumacherSetz:2024:AsChSN
TitleAssessment and characteristics of S-NPP VIIRS Deep Blue and Dark Target aerosol properties under clean, polluted and fire scenarios over the Amazon
Year2024
MonthApr.
Access Date2024, June 16
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size12409 KiB
2. Context
Author1 Schumacher, Vanúcia
2 Setzer, Alberto Waingort
Resume Identifier1
2 8JMKD3MGP5W/3C9JGGG
Group1 DISSM-CGCT-INPE-MCTI-GOV-BR
2 DISSM-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 vanucia-schumacher@hotmail.com
JournalAtmospheric Environment
Volume323
Pagese120398
Secondary MarkA1_SAÚDE_COLETIVA A1_MEDICINA_II A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_ENGENHARIAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE A2_QUÍMICA A2_MEDICINA_I A2_ENGENHARIAS_IV A2_ENGENHARIAS_II A2_CIÊNCIAS_BIOLÓGICAS_II A2_CIÊNCIAS_BIOLÓGICAS_I B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_CIÊNCIAS_BIOLÓGICAS_III B1_ASTRONOMIA_/_FÍSICA
History (UTC)2024-04-02 11:09:55 :: simone -> administrator ::
2024-04-02 11:10:10 :: administrator -> simone :: 2024
2024-04-02 11:10:34 :: simone -> administrator :: 2024
2024-04-12 10:00:15 :: administrator -> simone :: 2024
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAERONET
Aerosol optical depth (AOD)
Amazon basin
Uncertainty evaluation
VIIRS
AbstractThe present study carries out the systematic performance evaluation of aerosol optical depth (AOD) products retrieved using Visible Infrared Imaging Radiometer Suite (VIIRS) Deep Blue (DB) and Dark Target (DT) onboard Suomi National Polar-orbiting Partnership (S-NPP) satellite over the Amazon Basin. Characteristics and uncertainty were evaluated under distinct air pollution scenarios such as a clean background in the wet season, polluted conditions in the dry season with biomass burning emissions and peak burning season with higher fire activity. VIIRS retrievals were also analyzed under aerosol loading, particle size and surface vegetation coverage against the Aerosol Robotic Network (AERONET) measurements at 9 sites in 20122022. VIIRS DB showed good accuracy, with 78% of AOD matchups falling within the expected error, 84% in the wet season, and 71% in the dry and burning seasons. In contrast, VIIRS DT indicated poor accuracy (64%) and trends overestimate the AOD in all air pollution scenarios. Both algorithms were sensitive to AERONET sites with high elevation and dark vegetated coverage characteristics. VIIRS DB and DT systematically overestimated AERONET AOD as increased aerosol loading. DB trends underestimate aerosol under background conditions and overestimate with coarse and fine particle predominance. Additionally, both algorithms indicated poor accuracy under forest type with a large positive bias. VIIRS DB demonstrated the highest accuracy in the presence of aerosol loading in sites characterized by mixed land cover type. This was observed in both coarse and fine mode scenarios for grassland. VIIRS DT demonstrated satisfactory accuracy under background conditions and dominance of coarse particles within grassland land cover type. For mixed land cover, satisfactory accuracy was found under intermediate aerosol loading conditions. DB algorithm showed greater uncertainty associated with the coarse particle aerosol for the full period and all polluted scenarios. Overall, VIIRS DT accuracy was more sensitive to varying air pollution scenarios.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessment and characteristics...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 02/04/2024 08:09 1.0 KiB 
4. Conditions of access and use
Languageen
Target File1-s2.0-S1352231024000736-main.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2021/06.04.03.40.25
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 3
sid.inpe.br/mtc-m21/2012/07.13.14.39.32 2
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
e-Mail (login)simone
update 


Close