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基于地基遥感观测的持续性浓雾的物理特征研究

Physical characteristics of persistent dense fog based on ground-based remote sensing observations

  • 摘要: 2018年11月底,中国华东地区出现了罕见的强浓雾天气过程,这次浓雾过程持续时间长、影响范围广。而在这次浓雾过程中,南京地区方圆50 km范围内的不同站点雾的生消演变特征却有着显著的差异。为了详细探究不同站点雾的演变差异,本文使用南京五个站(六合、浦口、江宁、溧水、高淳)的高精度观测资料,详细分析了罕见持续性浓雾天气的环流背景和边界层特征,提炼雾爆发性增强的预报指标。结果表明:罕见持续大雾天气发生的环流背景是中高纬度环流平直,位于槽前西南气流中,地面均压场为主,有3次弱冷空气渗透,大气层结稳定,湍流运动和辐合辐散弱,高湿度,逆温结构明显,常有多层逆温,逆温顶平均高度在400~800 m。浦口站位于老山东南侧,海拔较高,低能见度时段明显少于其他地区,表明地形强迫与下垫面属性对雾相变有调控作用。雾顶之下液态水含量高且水汽饱和,而雾顶之上液态水含量锐减并伴随水汽密度急剧下降至最小值后迅速回升,表明雾顶垂直结构存在显著的水汽密度突变现象。建立了基于水汽密度梯度的雾顶高度判别指标,测得雾顶平均高度为200~500 m,大多数浓雾过程雾顶高度在逆温层顶之下,为边界层雾的垂直结构遥感反演提供了更多可供参考的物理参数。雾爆发性增强起因是辐射降温冷却,而近地面微风、暖湿平流、逆温长时间维持、弱冷空气渗透和逆温层内短暂的超低空偏东急流均有助于浓雾维持和增强。弱冷空气渗透与逆温层内短暂出现的超低空偏东急流(风速>8 m/s)形成动力—热力耦合效应,促使雾滴快速生成并垂直扩展。雾爆发性增强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/m3)与水汽密度(>8 g/m3)的同步跃增对雾增强的预报时效提前0.5~2.5小时,为雾的精细化预报提供了定量化的预报指标。

     

    Abstract: A rare and intense fog event occurred in East China region at the end of November 2018, lasting for a long period and affecting a wide area. However, notable variations in the fog"s formation and dissipation characteristics were observed at different stations within a 50-kilometer radius of Nanjing during this event. This study used high-precision observational data from five stations in Nanjing (Luhe, Pukou, Jiangning, Lishui, and Gaochun) to investigate these variations in fog characteristics and evolution across different stations. The study provides a detailed analysis of the circulation characteristics and atmospheric boundary layer features associated with this unusual prolonged fog event, and extracts forecast indicators for the explosive development of fog. The results indicate that the circulation pattern during this rare persistent heavy fog was characterized by straight flow in the mid to high latitudes, situated in a southwest airflow ahead of a trough, with a dominant surface isobaric field and three instances of weak cold air infiltration. The atmospheric stratification was stable, with weak turbulent movement and convergence-divergence. High humidity and significant inversion structures were observed, often with multiple layers of inversion. The average height of the inversion top ranged from 400 to 800 meters. Pukou station is located on the southeast side of Laoshan, at a higher elevation, resulting in significantly fewer periods of low visibility compared to other areas, which indicating that terrain forcing and the properties of the underlying surface have a regulatory effect on the phase change of fog. Below the top of fog, the liquid water content is high and the water vapor is saturated, while above the top of fog, the liquid water content sharply decreases and is accompanied by a rapid drop in water vapor density to its minimum value before quickly rising again, indicating a significant water vapor density mutation phenomenon in the vertical structure of the top of fog. A fog height discrimination index based on water vapor density gradient was established, and the average height of fog was measured to be 200-500 m. In most heavy fog processes, the height of the fog layer is lower than the inversion height, which providing more physical parameters for the remote sensing inversion of the vertical structure of boundary layer fog. The explosive enhancement of fog is caused by radiative cooling, while near-surface gentle wind, warm moist advection, long-term maintenance of inversion, weak cold air infiltration, and a brief super-low-altitude easterly jet in the inversion layer are all conducive to the maintenance and enhancement of dense fog. The dynamic-thermal coupling effect formed by the weak cold air infiltration and the brief super-low-altitude easterly jet (wind speed > 8 m/s) within the inversion layer promotes the rapid generation and vertical expansion of fog droplets. The explosive enhancement of fog does not necessarily accompany an increase in inversion, and the indication effect of inversion is limited. However, the synchronous jump increase of liquid water content (>0.1 g/m3) and water vapor density (>8 g/m3) can advance the forecast time of fog enhancement by 0.5-2.5 hours, providing a quantitative forecast indicator for the fine-scale forecasting of fog.

     

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