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基于高分辨率地基遥感观测的南京地区一次持续性浓雾的物理过程及增强机制

Physical Processes and Enhancement Mechanisms of a Heavy Persistent Fog Event Based on High-Resolution Ground-Based Remote Sensing Observations in Nanjing Area

  • 摘要: 大气边界层过程对浓雾的生消及增强机制的影响至关重要。在持续性大范围浓雾生消过程的研究中,我们通常忽略了浓雾过程中临近区域的大气边界层构成的差异。为此,我们选取了2018年11月24日至12月3日南京及周边地区的一次持续性浓雾过程进行研究。研究时段内,中国华东地区出现了罕见的大范围、持续性浓雾天气,而在南京地区方圆60 km范围内的不同站点雾的生消时空演变特征却有着显著的差异。本研究通过高分辨率立体观测数据捕捉浓雾生消过程中能见度骤变、垂直结构演变等特征,并提炼强浓雾发生的预报指标。这项工作的目的是了解控制南京地区连续10 d的浓雾事件生命周期的大气边界层物理机制。结果表明:此次大雾天气发生的环流背景是中高纬度环流平直,均压场为主,有3次弱冷空气渗透,逆温结构明显,常有多层逆温。第一阶段是辐射雾,受到地形强迫与上风向水源的影响,浦口低能见度时段明显少于其他地区。第二阶段平流雾为主,期间出现多次雾爆发性增强,弱冷空气渗透、东南暖湿平流与逆温层内短暂出现的超低空偏东急流(风速>8 m s−1)形成动力—热力耦合效应,促使雾滴快速生成并垂直扩展。雾顶附近存在显著的水汽密度突变现象,基于水汽密度梯度建立了雾顶高度判别指标,雾顶高度(200~500 m)基本在逆温层顶(400~800 m)之下。强浓雾不一定伴有逆温增强,逆温的指示作用存在局限性,而液态水含量(>0.1 g m−3)与水汽密度(>8 g m−3)的同步跃增对南京雾增强的预报时效提前0.5~2.5 h,为南京地区雾的精细化预报提供了定量化的阈值指标参考。

     

    Abstract: The atmospheric boundary layer process is crucial to the formation, dissipation, and intensification of dense fog. However, studies of persistent, large-scale dense fog often overlook spatial differences in boundary layer structure among adjacent areas during fog events. To address this gap, the authors investigated a persistent dense fog event that occurred in Nanjing and its surrounding areas from 24 November to 3 December 2018. During this period, exceptionally widespread and persistent dense fog affected East China, while substantial spatial and temporal variations in fog formation and dissipation were observed among monitoring stations within a 60 km radius of Nanjing. This study used high-resolution, vertically integrated observations to capture abrupt changes in visibility and the evolution of vertical atmospheric structure during fog development and to establish predictive indicators for severe dense fog. The aim was to clarify the atmospheric boundary layer processes governing the life cycle of this 10-d continuous dense fog event in Nanjing. Results indicate that the synoptic conditions were characterized by a relatively zonal mid-to-high latitude circulation pattern, weak pressure gradients, stable atmospheric stratification, weak turbulent mixing, and limited convergence and divergence. During the event, three weak cold air incursions occurred and were accompanied by pronounced temperature inversions, often with multiple inversion layers. During the first stage, the fog was primarily radiation fog. Owing to topographic effects and the influence of upwind water bodies, Pukou Station experienced significantly shorter periods of low visibility than other regions. During the second stage, advection fog dominated, and several episodes of rapid fog intensification occurred. Weak cold air infiltration, southeasterly warm and moist advection, and a transient, ultra-low-level easterly jet with wind speeds exceeding 8 m s−1 within the inversion layer produced a coupled dynamic–thermal effect that accelerated fog formation and vertical development. A pronounced change in water vapor density was observed near the fog top, and a fog-top height diagnostic index was established based on the vertical gradient of water vapor density. The fog-top height (200–500 m) consistently remained below the top of the inversion layer (400–800 m). Rapid intensification of severe fog was not necessarily accompanied by stronger temperature inversions, indicating that inversion strength alone has limited predictive value. In contrast, simultaneous sharp increases in liquid water content (>0.1 g m−3) and water vapor density (>8 g m−3) provided a 0.5–2.5 h lead time for predicting fog intensification, offering quantitative indicators for fine-scale dense fog forecasting.

     

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