Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD026567 |
Quantification of marine aerosol subgrid variability and its correlation with clouds based on high-resolution regional modeling | |
Lin, Guangxing1; Qian, Yun1; Yan, Huiping1,2; Zhao, Chun1,3; Ghan, Steven J.1; Easter, Richard1; Zhang, Kai1 | |
2017-06-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:12 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Peoples R China |
英文摘要 | One limitation of most global climate models (GCMs) is that with the horizontal resolutions they typically employ, they cannot resolve the subgrid variability (SGV) of clouds and aerosols, adding extra uncertainties to the aerosol radiative forcing estimation. To inform the development of an aerosol subgrid variability parameterization, here we analyze the aerosol SGV over the southern Pacific Ocean simulated by the high-resolution Weather Research and Forecasting model coupled to Chemistry. We find that within a typical GCM grid, the aerosol mass subgrid standard deviation is 15% of the grid-box mean mass near the surface on a 1 month mean basis. The fraction can increase to 50% in the free troposphere. The relationships between the sea-salt mass concentration, meteorological variables, and sea-salt emission rate are investigated in both the clear and cloudy portion. Under clear-sky conditions, marine aerosol subgrid standard deviation is highly correlated with the standard deviations of vertical velocity, cloud water mixing ratio, and sea-salt emission rates near the surface. It is also strongly connected to the grid box mean aerosol in the free troposphere ( between 2 km and 4 km). In the cloudy area, interstitial sea-salt aerosol mass concentrations are smaller, but higher correlation is found between the subgrid standard deviations of aerosol mass and vertical velocity. Additionally, we find that decreasing the model grid resolution can reduce the marine aerosol SGV but strengthen the correlations between the aerosol SGV and the total water mixing ratio (sum of water vapor, cloud liquid, and cloud ice mixing ratios). |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000405514000013 |
WOS关键词 | COMMUNITY ATMOSPHERE MODEL ; MICROPHYSICS SCHEME ; RELATIVE-HUMIDITY ; SCALE VARIATIONS ; PARAMETERIZATION ; IMPACT ; DUST ; PRECIPITATION ; SIMULATIONS ; SENSITIVITY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32257 |
专题 | 气候变化 |
作者单位 | 1.Pacific Northwest Natl Lab, Richland, WA 99352 USA; 2.Nanjing Univ Informat & Technol, Coll Atmospher Sci, Nanjing, Jiangsu, Peoples R China; 3.Univ Sci & Technol China, Sch Earth & Space Sci, Hefei, Peoples R China |
推荐引用方式 GB/T 7714 | Lin, Guangxing,Qian, Yun,Yan, Huiping,et al. Quantification of marine aerosol subgrid variability and its correlation with clouds based on high-resolution regional modeling[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(12). |
APA | Lin, Guangxing.,Qian, Yun.,Yan, Huiping.,Zhao, Chun.,Ghan, Steven J..,...&Zhang, Kai.(2017).Quantification of marine aerosol subgrid variability and its correlation with clouds based on high-resolution regional modeling.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(12). |
MLA | Lin, Guangxing,et al."Quantification of marine aerosol subgrid variability and its correlation with clouds based on high-resolution regional modeling".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.12(2017). |
条目包含的文件 | 条目无相关文件。 |
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。
修改评论