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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Quantification of marine aerosol subgrid variability and its correlation with clouds based on high-resolution regional modeling
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Quantification of marine aerosol subgrid variability and its correlation with clouds based on high-resolution regional modeling

机译:量化海洋气溶胶次网格基于云的变化及其相关性在高分辨率区域建模

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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).
机译:大多数全球气候模型的一个限制(GCMs)的横向分辨率他们通常雇佣,他们不能解决次网格变化(SGV)的云和气溶胶,添加额外的不确定性气溶胶辐射强迫估计。气溶胶的次网格的变化参数化,我们分析气溶胶SGV在南太平洋的模拟高分辨率气候研究和预测模型耦合化学。典型的GCM网格,气溶胶质量次网格标准偏差的15% grid-box的意思质量1个月意味着基础上表面附近。分数可以增加50%的自由对流层。盐质量浓度,气象变量和盐排放速度调查清楚和多云部分。气溶胶次网格标准差是高度相关的标准偏差垂直速度,云水混合比,盐表面附近的发射率。还强烈连接到网格框的意思在自由对流层气溶胶(2公里之间4公里)。气溶胶质量浓度较小,但是更高的次网格之间的相关性被发现标准差的气溶胶质量和垂直速度。模型网格分辨率可以减少海洋气溶胶SGV但加强相关性气溶胶SGV和总水之间混合比(水蒸气,云的液体,和云冰混合比率)。

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