首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Modeling aerosol effects on shallow cumulus convection under various meteorological conditions observed over the Indian Ocean and implications for development of mass-flux parameterizations for climate models
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Modeling aerosol effects on shallow cumulus convection under various meteorological conditions observed over the Indian Ocean and implications for development of mass-flux parameterizations for climate models

机译:在印度洋上观测到的各种气象条件下,对浅层积云对流的气溶胶效应建模及其对气候模型质量通量参数化发展的启示

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To determine conditions over the Indian Ocean, under which cloud fields are most susceptible to modification from aerosols, and to study how turbulent activities and shallow cumuli vary for different meteorological scenarios, a three-dimensional large-eddy simulation model was initialized using data collected during the Indian Ocean Experiment (INDOEX). Radiosonde data were used to construct six soundings encompassing the range of temperature and humidity observed. A total of 18 meteorological scenarios were then obtained by adding either an average transition layer (TL), a strong inversion layer (IL), or no stable layer to each sounding. Separate simulations were conducted for each scenario assuming pristine or polluted conditions as observed during INDOEX. For aerosol profiles measured during INDOEX, aerosol semidirect effects always dominated indirect effects, with the positive daytime net indirect forcing (semidirect plus indirect forcings) varying between 0.2 and 4.5 W m?2. Anthropogenic aerosols had a larger net indirect forcing when the environmental relative humidity (RH) was higher and in the absence of the IL and TL. Changes in meteorological factors had larger impacts on the cloud properties than did anthropogenic aerosols, indicating large uncertainties can be introduced when solely using observations to quantify aerosol effects without examining their meteorological context. Because mean lateral detrainment and entrainment rates depended on RH, aerosols, and the presence of stable layers, mass-flux parameterizations in climate models should not use single values for such rates that may not represent the range of conditions observed where trade cumuli form.
机译:为了确定印度洋上最容易受到气溶胶改变的云场条件,并研究湍流活动和浅积云在不同的气象情况下如何变化,我们使用收集到的数据初始化了三维大涡模拟模型印度洋实验(INDOEX)。无线电探空仪数据被用于构建涵盖探测到的温度和湿度范围的六个探测。然后,通过向每个测深添加平均过渡层(TL),强反演层(IL)或不添加稳定层,总共获得了18种气象方案。在INDOEX期间观察到的假设原始或污染情况的情况下,针对每种情况进行了单独的模拟。对于在INDOEX期间测得的气溶胶剖面,气溶胶半直接效应始终占间接效应的主导,白天的正净间接强迫(半直接加上间接强迫)在0.2到4.5 W m?2之间变化。当环境相对湿度(RH)较高且没有IL和TL时,人为气溶胶具有较大的净间接强迫。气象因素的变化对人为云的影响比人为气溶胶对云的影响更大,这表明当仅使用观测值来量化气溶胶效应而不检查其气象背景时,可能会引入很大的不确定性。由于平均横向出气和夹带速率取决于相对湿度,气溶胶和稳定层的存在,因此气候模型中的质量通量参数化不应使用单个值来表示这种速率,这可能不代表在贸易积聚形成时观察到的条件范围。

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