CCPortal
DOI10.5194/acp-20-1591-2020
The challenge of simulating the sensitivity of the Amazonian cloud microstructure to cloud condensation nuclei number concentrations
Polonik P.; Knote C.; Zinner T.; Ewald F.; Kölling T.; Mayer B.; Andreae M.O.; Jurkat-Witschas T.; Klimach T.; Mahnke C.; Molleker S.; Pöhlker C.; Pöhlker M.L.; Pöschl U.; Rosenfeld D.; Voigt C.; Weigel R.; Wendisch M.
发表日期2020
ISSN1680-7316
起始页码1591
结束页码1605
卷号20期号:3
英文摘要The realistic representation of aerosol-cloud interactions is of primary importance for accurate climate model projections. The investigation of these interactions in strongly contrasting clean and polluted atmospheric conditions in the Amazon region has been one of the motivations for several field campaigns, including the airborne "Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud Systems-Cloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud Resolving Modeling and to the GPM (Global Precipitation Measurement) (ACRIDICON-CHUVA)" campaign based in Manaus, Brazil, in September 2014. In this work we combine in situ and remotely sensed aerosol, cloud, and atmospheric radiation data collected during ACRIDICONCHUVA with regional, online-coupled chemistry-transport simulations to evaluate the model's ability to represent the indirect effects of biomass burning aerosol on cloud microphysical and optical properties (droplet number concentration and effective radius). We found agreement between the modeled and observed median cloud droplet number concentration (CDNC) for low values of CDNC, i.e., low levels of pollution. In general, a linear relationship between modeled and observed CDNC with a slope of 0.3 was found, which implies a systematic underestimation of modeled CDNC when compared to measurements. Variability in cloud condensation nuclei (CCN) number concentrations was also underestimated, and cloud droplet effective radii (reff) were overestimated by the model. Modeled effective radius profiles began to saturate around 500 CCN cm-3 at cloud base, indicating an upper limit for the model sensitivity well below CCN concentrations reached during the burning season in the Amazon Basin. Additional CCN emitted from local fires did not cause a notable change in modeled cloud droplet effective radii. Finally, we also evaluate a parameterization of CDNC at cloud base using more readily available cloud microphysical properties, showing that we are able to derive CDNC at cloud base from cloud-side remote-sensing observations. © 2020 Author(s).
语种英语
scopus关键词aerosol; biomass burning; cloud condensation nucleus; cloud microphysics; cloud radiative forcing; computer simulation; concentration (composition); optical property; remote sensing; Amazonia
来源期刊Atmospheric Chemistry and Physics
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/141557
作者单位Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany; Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft-und Raumfahrt (DLR), Oberpfaffenhofen, Germany; Scripps Institution of Oceanography, University of California San Diego, San Diego, CA, United States; Multiphase Chemistry and Biogeochemistry Departments, Max Planck Institute for Chemistry, Mainz, Germany; Particle Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany; Institut für Physik der Atmosphäre, Johannes Gutenberg-Universität, Mainz, Germany; Institute of Earth Sciences, Hebrew University of Jerusalem, Jerusalem, Israel; Leipziger Institut für Meteorologie, Universität Leipzig, Leipzig, Germany; Scripps Institution of Oceanography, University of California San Diego, San Diego, CA, United States
推荐引用方式
GB/T 7714
Polonik P.,Knote C.,Zinner T.,et al. The challenge of simulating the sensitivity of the Amazonian cloud microstructure to cloud condensation nuclei number concentrations[J],2020,20(3).
APA Polonik P..,Knote C..,Zinner T..,Ewald F..,Kölling T..,...&Wendisch M..(2020).The challenge of simulating the sensitivity of the Amazonian cloud microstructure to cloud condensation nuclei number concentrations.Atmospheric Chemistry and Physics,20(3).
MLA Polonik P.,et al."The challenge of simulating the sensitivity of the Amazonian cloud microstructure to cloud condensation nuclei number concentrations".Atmospheric Chemistry and Physics 20.3(2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Polonik P.]的文章
[Knote C.]的文章
[Zinner T.]的文章
百度学术
百度学术中相似的文章
[Polonik P.]的文章
[Knote C.]的文章
[Zinner T.]的文章
必应学术
必应学术中相似的文章
[Polonik P.]的文章
[Knote C.]的文章
[Zinner T.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。