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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/4AC8L5H
Repositóriosid.inpe.br/mtc-m21d/2023/12.11.16.46
Última Atualização2024:03.28.15.46.18 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2023/12.11.16.46.54
Última Atualização dos Metadados2024:03.28.15.46.19 (UTC) simone
Chave SecundáriaINPE--PRE/
Chave de CitaçãoSchumacherSetz:2023:EvVIAe
TítuloEvaluation of VIIRS Aerosol Optical Depth Retrievals under Distinct Aerosol Scenarios over the Amazon Basin
Ano2023
Data de Acesso20 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho12409 KiB
2. Contextualização
Autor1 Schumacher, Vanucia
2 Setzer, Alberto Waingort
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JGGG
Grupo1 DISSM-CGCT-INPE-MCTI-GOV-BR
2 DISSM-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 vanucia.schumacher@inpe.br
Nome do EventoAGU FAll Meeting
Localização do EventoSan Francisco, CA
Data11-15 Dec. 2023
Editora (Publisher)AGU
Título do LivroProceedings
Histórico (UTC)2023-12-11 16:46:54 :: simone -> administrator ::
2024-01-02 17:16:56 :: administrator -> simone :: 2023
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoRetrieval accuracy and comparison of aerosol optical depth (AOD) products of Visible Infrared Imaging Radiometer Suite (VIIRS) Deep Blue (DB) were evaluated over the Amazon Basin under dry and wet seasons. Performance and uncertainty also were evaluated under distinct aerosol types, loading, particle size, and surface vegetation coverage scenarios against 9 Aerosol Robotic Network (AERONET) sites from the year 20122022. Results showed that VIIRS AOD products agree with AERONET measurements with 78% of AOD matchups falling within the envelope of Expected Error (EE), with 71% and 84% in the dry and wet seasons, respectively. The aerosol types indicated a dominance of clean conditions and anthropogenic aerosols in the dry season, while in the wet season clean conditions and clean maritime types predominate, with better accuracy in the wet season (EE>83%). VIIRS AOD accuracy under aerosol loading and particle size distributions presented the best accuracy over grassland and mixed land cover types in contrast to inefficient retrievals obtained over dark vegetated surfaces. The better performance is achieved under low AOD loading conditions and mixed-size particles for both dry and wet seasons. We showed that uncertainty increased under high elevations, and when coarse particles were dominant with widespread AOD underestimates, while overestimates occurred with grassland and mixed land cover types. Overall, the accuracy of VIIRS algorithms requires further improvements under high elevation, coarse particle size, and vegetated surface coverage over the Amazon Basin.
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4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/4AC8L5H
URL dos dados zipadoshttp://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/4AC8L5H
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Arquivo Alvo1-s2.0-S1352231024000736-main.pdf
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
7. Controle da descrição
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