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Observational constraint of in-cloud supersaturation for simulations of aerosol rainout in atmospheric models

机译:云中过饱和的观测约束,用于模拟大气模型中的气溶胶降雨

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Quantitative simulation of an aerosol"s lifecycle by regional-scale and global-scale atmospheric models is mandatory for unbiased analysis and prediction of aerosol radiative forcing and climate change. Globally, aerosol deposition is dominated by the rainout process, which is mostly triggered by activation of aerosols to liquid droplets in supersaturated domains of precipitating clouds. However, the actual environmental supersaturation value that aerosols experience in precipitating clouds is difficult for models to predict, and it has never been constrained by observations; as a result, there is large uncertainty in atmospheric aerosol simulations. Here, by a particle-tracer analysis of 37 rainfall events in East Asia, near the largest source region of anthropogenic aerosols in the northern hemisphere, we observed that the environmental supersaturation actually experienced by the removed aerosols in precipitating clouds averaged 0.08 0.03% and ranged from 0.03 to 0.2%. Simulations by a mixing-state-resolved global aerosol model showed that the simulated long-range transport efficiency and global atmospheric burden of black carbon aerosols can be changed by a factor of two or three as a result of a change in the environmental supersaturation in precipitating clouds within just 0.08 0.03%. This result is attributable to the fact that the sensitivity of an aerosol"s rainout efficiency to environmental supersaturation is higher for the less-aged black carbon concentrated near source regions. Our results suggest that observational constraints of environmental supersaturation in precipitating clouds, particularly near source regions, are of fundamental importance for accurate simulation of the atmospheric burden of black carbon and other aerosols. A delicate balance determines whether or not precipitation will generate the rainout, or removal, of atmospheric aerosols. The process is critical for climate and human health, but is only approximately simulated in most models. A multi-institution team led by Nobuhiro Moteki from the University of Tokyo has quantified the cloud supersaturation conditions that are required to generate "nucleation scavenging", the mechanism ultimately leading to aerosol rainout. By measuring black carbon aerosols in surface air before convective precipitation and comparing it to aerosols within the precipitation itself, the team established that rainout occurred with supersaturation of about 0.08%. The threshold, however, was lower for hydrophilic, older aerosols and higher for hydrophobic, younger aerosols. Using a global aerosol model, the research shows that the high threshold in young aerosols reduces rainout near emission sources and enhances atmospheric transport of aerosols to distant regions.
机译:必须对区域和全球范围的大气模型进行气溶胶生命周期的定量模拟,以便对气溶胶辐射强迫和气候变化进行无偏分析和预测。在全球范围内,气溶胶沉积主要由降雨过程控制,而降雨过程主要是由激活引起的的气溶胶到液滴的超饱和域中的液滴,但是,气溶胶在云中所经历的实际环境过饱和值很难用模型来预测,并且从来没有受到观测值的限制;结果,存在很大的不确定性通过对东亚37个降雨事件的颗粒示踪分析,在北半球最大的人为气溶胶来源区域附近,我们观察到,去除的气溶胶在降水云中实际经历的环境过饱和度平均为0.08 0.03%,范围从0.03到0.2%。混合状态解析的全球气溶胶模型表明,由于内部云中降水的环境过饱和度发生了变化,因此模拟的黑碳气溶胶的远距离传输效率和全球大气负荷可以改变两个或三个因子。仅为0.08 0.03%。该结果归因于以下事实:对于年龄较小的黑碳浓度较高的源区附近,气溶胶的降雨效率对环境过饱和度的敏感性较高。我们的结果表明,在降水云中,特别是在源头附近,环境过饱和的观测约束区域对于准确模拟黑碳和其他气溶胶的大气负荷至关重要,微妙的平衡决定了降水是否会导致大气气溶胶的降雨或清除,这一过程对于气候和人类健康至关重要,由东京大学的Nobuhiro Moteki领导的一个多机构小组量化了产生“成核清除”所需的云过饱和条件,该机制最终导致了气溶胶的降雨。对流预热之前地面空气中的碳气溶胶团队将其与降水本身内的气溶胶进行了对比,确定发生了过饱和,约为0.08%。然而,对于亲水的,较老的气溶胶,该阈值较低,而对于疏水的,较年轻的气溶胶,该阈值较高。使用全球气溶胶模型,研究表明,年轻气溶胶的高阈值减少了排放源附近的降雨,并增强了气溶胶向遥远地区的大气传输。

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