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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/49454BP
Repositóriosid.inpe.br/mtc-m21d/2023/05.09.14.23
Última Atualização2023:05.09.14.23.27 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2023/05.09.14.23.27
Última Atualização dos Metadados2024:01.02.17.16.43 (UTC) administrator
DOI10.5194/acp-23-4283-2023
ISSN1680-7316
1680-7324
Chave de CitaçãoChangGFSDDLFCCSSHXMGWCFBFLKPSMRPAWZCR:2023:DiVeDi
TítuloOn the differences in the vertical distribution of modeled aerosol optical depth over the southeastern Atlantic
Ano2023
MêsApr.
Data de Acesso18 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho16307 KiB
2. Contextualização
Autor 1 Chang, Ian
 2 Gao, Lan
 3 Flynn, Connor J.
 4 Shinozuka, Yohei
 5 Doherty, Sarah J.
 6 Diamond, Michael S.
 7 Longo, Karla Maria
 8 Ferrada, Gonzalo A.
 9 Carmichael, Gregory R.
10 Castellanos, Patricia
11 Silva, Arlindo M. da
12 Saide, Pablo E.
13 Howes, Calvin
14 Xue, Zhixin
15 Mallet, Marc
16 Govindaraju, Ravi
17 Wang, Qiaoqiao
18 Cheng, Yafang
19 Feng, Yan
20 Burton, Sharon P.
21 Ferrare, Richard A.
22 LeBlanc, Samuel E.
23 Kacenelenbogen, Meloë S.
24 Pistone, Kristina
25 Segal-Rozenhaimer, Michal
26 Meyer, Kerry G.
27 Ryoo, Ju-Mee
28 Pfister, Leonhard
29 Adebiyi, Adeyemi A.
30 Wood, Robert
31 Zuidema, Paquita
32 Christopher, Sundar A.
33 Redemann, Jens
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7 8JMKD3MGP5W/3C9JHKQ
Grupo 1
 2
 3
 4
 5
 6
 7 CGCT-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 University of Oklahoma
 2 University of Oklahoma
 3 University of Oklahoma
 4 NASA
 5 University of Washington
 6 Florida State University
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
 8 University of Iowa
 9 University of Iowa
10 NASA Goddard Space Flight Center
11 NASA Goddard Space Flight Center
12 University of California Los Angeles
13 University of California Los Angeles
14 University of Alabama in Huntsville
15 Météo-France-CNRS
16 Science Systems and Applications
17 Météo-France-CNRS
18 Max Planck Institute for Chemistry
19 Argonne National Laboratory
20 NASA Langley Research Center
21 NASA Langley Research Center
22 NASA Ames Research Center
23 NASA Goddard Space Flight Center
24 Bay Area Environmental Research Institute
25 NASA Ames Research Center
26 NASA Goddard Space Flight Center
27 NASA Ames Research Center
28 NASA Ames Research Center
29 University of California
30 University of Washington
31 University of Miami
32 University of Alabama in Huntsville
33 University of Oklahoma
Endereço de e-Mail do Autor 1 ian.chang@ou.edu
 2 lgao@ou.edu
 3
 4
 5
 6
 7 karla.longof@gmail.com
RevistaAtmospheric Chemistry and Physics
Volume23
Número7
Páginas4283-4309
Nota SecundáriaA1_MEDICINA_II A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_ENGENHARIAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA A2_ENGENHARIAS_II A2_ASTRONOMIA_/_FÍSICA
Histórico (UTC)2023-05-09 14:23:27 :: simone -> administrator ::
2023-05-09 14:23:28 :: administrator -> simone :: 2023
2023-05-09 14:35:11 :: simone -> administrator :: 2023
2024-01-02 17:16:43 :: 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
ResumoThe southeastern Atlantic is home to an expansive smoke aerosol plume overlying a large cloud deck for approximately a third of the year. The aerosol plume is mainly attributed to the extensive biomass burning activities that occur in southern Africa. Current Earth system models (ESMs) reveal significant differences in their estimates of regional aerosol radiative effects over this region. Such large differences partially stem from uncertainties in the vertical distribution of aerosols in the troposphere. These uncertainties translate into different aerosol optical depths (AODs) in the planetary boundary layer (PBL) and the free troposphere (FT). This study examines differences of AOD fraction in the FT and AOD differences among ESMs (WRF-CAM5, WRF-FINN, GEOS-Chem, EAM-E3SM, ALADIN, GEOS-FP, and MERRA-2) and aircraft-based measurements from the NASA ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) field campaign. Models frequently define the PBL as the well-mixed surface-based layer, but this definition misses the upper parts of decoupled PBLs, in which most low-level clouds occur. To account for the presence of decoupled boundary layers in the models, the height of maximum vertical gradient of specific humidity profiles from each model is used to define PBL heights. Results indicate that the monthly mean contribution of AOD in the FT to the total-column AOD ranges from 44% to 74% in September 2016 and from 54% to 71% in August 2017 within the region bounded by 25°S-0°N-S and 15°W-15°E (excluding land) among the ESMs. ALADIN and GEOS-Chem show similar aerosol plume patterns to a derived above-cloud aerosol product from the Moderate Resolution Imaging Spectroradiometer (MODIS) during September 2016, but none of the models show a similar above-cloud plume pattern to MODIS in August 2017. Using the second-generation High Spectral Resolution Lidar (HSRL-2) to derive an aircraft-based constraint on the AOD and the fractional AOD, we found that WRF-CAM5 produces 40% less AOD than those from the HSRL-2 measurements, but it performs well at separating AOD fraction between the FT and the PBL. AOD fractions in the FT for GEOS-Chem and EAM-E3SM are, respectively, 10% and 15% lower than the AOD fractions from the HSRL-2. Their similar mean AODs reflect a cancellation of high and low AOD biases. Compared with aircraft-based observations, GEOS-FP, MERRA-2, and ALADIN produce 24%-36% less AOD and tend to misplace more aerosols in the PBL. The models generally underestimate AODs for measured AODs that are above 0.8, indicating their limitations at reproducing high AODs. The differences in the absolute AOD, FT AOD, and the vertical apportioning of AOD in different models highlight the need to continue improving the accuracy of modeled AOD distributions. These differences affect the sign and magnitude of the net aerosol radiative forcing, especially when aerosols are in contact with clouds.
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URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34T/49454BP
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.53.10 1
sid.inpe.br/bibdigital/2022/04.03.22.23 1
DivulgaçãoWEBSCI; PORTALCAPES; AGU; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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