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Examining the Cloud Buffering under Smokeladen Conditions: a Case Study of the 2002 Yakutsk Wildfire Season

机译:检查烟囱条件下的云缓冲:2002年雅库茨克野火季节的案例研究

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We use the fully coupled WRF-Chem-SMOKE model in conjunction with satellite observations to examine the impact of smoke and the response of a frontal system to smoke-induced changes in clouds and precipitation. We show that in the high CCN/low IN regime, the dynamic buffering feedback dominates because both warm rain and riming processes are suppressed by smoke. The onset of precipitation is delayed by about one day. In the high CCN/high IN regime, more snow water path (SWP) is formed to compensate for reduced rain water path (RWP), indicating the dominance of the mixed-phase cloud buffering feedback. The onset and total amount of daily precipitation over this region were only slightly affected; however, significant changes in precipitation pattern were found.
机译:我们使用完全耦合的WRF-Chem-烟雾模型与卫星观测相结合,以检查烟雾的影响和正面系统的响应到烟雾引起的云层和降水的变化。我们表明,在高中的CCN /低中,动态缓冲反馈主导,因为烟雾抑制了暖雨和升温过程。沉淀的发作延迟了一天。在高CCN /高中,形成更多的降雪路径(SWP)以补偿减少的雨水路径(RWP),表明混合相云缓冲反馈的优势。该区域的每日降水量的起始和总量仅略微影响;然而,发现了降水模式的显着变化。

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