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Tipo de ReferênciaJournal Article
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/44ES46L
Repositóriosid.inpe.br/mtc-m21c/2021/04.05.12.21
Última Atualização2021:04.05.12.21.37 simone
Metadadossid.inpe.br/mtc-m21c/2021/04.05.12.21.37
Última Atualização dos Metadados2021:04.05.12.25.29 simone
DOI10.5194/acp-2021-80
ISSN1680-7367
Chave de CitaçãoBragaERAFFPHJKLMPSVWWPP:2021:ClDrNu
TítuloCloud droplet number closure for tropical convective clouds during the ACRIDICON–CHUVA campaign
Ano2021
Data de Acesso13 abr. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho1077 KiB
Área de contextualização
Autor 1 Braga, Ramon Campos
 2 Ervens, Barbara
 3 Rosenfeld, Daniel
 4 Andreae, Meinrat O.
 5 Förster, Jan-David
 6 Fütterer, Daniel
 7 Pardo, Lianet Hernández
 8 Holanda, Bruna A.
 9 Jurkat, Tina
10 Krüger, Ovid O.
11 Lauer, Oliver
12 Machado, Luiz Augusto Toledo
13 Pöhlker, Christopher
14 Sauer, Daniel
15 Voigt, Christiane
16 Walser, Adrian
17 Wendisch, Manfred
18 Pöschl, Ulrich
19 Pöhlker, Mira L.
Identificador de Curriculo 1
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12 8JMKD3MGP5W/3C9JHMS
ORCID 1
 2 0000-0002-6223-1635
 3
 4 0000-0003-1968-7925
 5 0000-0001-6758-8396
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12 0000-0002-8243-1706
13 0000-0001-6958-425X
14 0000-0002-0317-5063
15 0000-0001-8925-7731
16 0000-0003-0175-8211
17 0000-0002-4652-5561
18 0000-0003-1412-3557
Grupo 1
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12 DISSM-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 Max Planck Institute for Chemistry
 2 Université Clermont Auvergne
 3 The Hebrew University of Jerusalem
 4 Max Planck Institute for Chemistry
 5 Max Planck Institute for Chemistry
 6 German Aerospace Center (DLR)
 7 Max Planck Institute for Chemistry
 8 Max Planck Institute for Chemistry
 9 German Aerospace Center (DLR)
10 Max Planck Institute for Chemistry
11 Max Planck Institute for Chemistry
12 Instituto Nacional de Pesquisas Espaciais (INPE)
13 Max Planck Institute for Chemistry
14 German Aerospace Center (DLR)
15 German Aerospace Center (DLR)
16 German Aerospace Center (DLR)
17 University of Leipzig
18 Max Planck Institute for Chemistry
19 Max Planck Institute for Chemistry
Endereço de e-Mail do Autor 1
 2 barbara.ervens@uca.fr
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12 luiz.at.machado@gmail.com
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19 m.pohlker@mpic.de
RevistaAtmospheric Chemistry and Physics Discussions
Volume2021
Páginas1-17
Tipo SecundárioPRE PI
Nota SecundáriaC_ASTRONOMIA_/_FÍSICA
Histórico2021-04-05 12:21:38 :: simone -> administrator ::
2021-04-05 12:21:39 :: administrator -> simone :: 2021
Área de conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteudoExternal Contribution
Tipo de Versãofinaldraft
ResumoThe main objective of the ACRIDICON-CHUVA (Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud SystemsCloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud Resolving Modeling and to the Global Precipitation measurements) campaign in September 2014 was the investigation of aerosol-cloud-interactions in the Amazon Basin. Cloud properties near cloud base of growing convective cumuli were characterized by cloud droplet size distribution measurements using a cloud combination probe (CCP) and a cloud and aerosol spectrometer (CAS-DPOL). In the current study, an adiabatic parcel model was used to perform cloud droplet number (Nd) closure studies for several flights in differently polluted air masses. Model input parameters included aerosol size distributions, measured with an ultra-high sensitive aerosol spectrometer (UHSAS), in combination with a condensation particle counter (CPC). Updraft speeds (w) were measured near cloud base using a boom-mounted Rosemount model 858 AJ probe. To compare to model predictions, measured Nd and w were statistically matched based on equal percentiles of occurrence. Reasonable agreement between measured and predicted Nd was achieved when a particle hygroscopicity of κ ~ 0.1 is assumed. Similar closure results were obtained when the variability in the particle number concentration was taken into account. We conclude that Nd can be predicted using a single κ, and measured aerosol particle number concentration below cloud base when w is constrained based on measurements. In accordance with previous adiabatic air parcel model studies, the largest disagreements between predicted and measured Nd were found when updraft speeds were high (w > 2.5 m s−1) or in the presence of a bimodal aerosol size distribution. We show that simplifying assumptions on κ might not be appropriate when the aerosol size distribution is comprised of both distinct Aitken and accumulation modes, as predicted Nd clearly deviate from measured ones at w ≥ 1 m s−1 which points to a contribution of Aitken mode particles to Nd.
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URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/44ES46L
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