Numerical Simulation and Diagnostic Analysis of a HeavyFog Process in Shanghai-Nanjing Expressway

PDF(1683 KB)
Plateau Meteorology
Plateau Meteorology ›› 2011, Vol. 30 ›› Issue (2) : 428-436.

Numerical Simulation and Diagnostic Analysis of a HeavyFog Process in Shanghai-Nanjing Expressway

Author information +
History +

Abstract

Using the WRF2.2, a new generation of mesoscale numerical forecasting model, and NCEP reanalysis datawith 1°×1° grid, a heavy fog process appeared in the southern part of Jiangsu Province which cover the Shanghai-Nanjing Expressway on 26 October 2007 was simulated. The effect of the simulations was verified by the comparison between the simulated and observed data from the Auto-meteorological Monitoring System (AMW) ( one time per minute) on the Expressway.It is found that the simulation in this fog weather process is successful. The results are as follows: (1) One of the main reasons accounted for the heavy fog event occurs a rainfall process before the fog formation. The rain bring abundant water vapor and make the maximum value of relative humidity reachs over 90% in the region. At same time, it shows that the fog region is a weak convergence zone of air stream. (2) The vorticity field with the minor and negative value is advantageous to the sinking of the air and it ensures the moist air not to spill over. (3) The cold advection and ground radiation cooling are the important factors of the engendering, developing and maintaining of thisfog weather process. The ground radiation coolingis a dominant factor in the thermal conditions and the effect of cold advectionis far less than the ground radiation cooling.

Key words

Shanghai-Nanjing Exp / Radiation fog / WRF model / Numerical simulation

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
. Numerical Simulation and Diagnostic Analysis of a HeavyFog Process in Shanghai-Nanjing Expressway. Plateau Meteorology. 2011, 30(2): 428-436

References

[1]吴兑, 赵博, 邓雪娇, 等.南岭山地高速公路雾区恶劣能见度研究[J]. 高原气象, 2007, 26(3): 649-654.
[2]冯民学, 袁成松, 卞光辉, 等.沪宁高速公路无锡段春季浓雾的实时监测和若干特征[J]. 气象科学, 2003, 23(3): 435-445.
[3]濮梅娟, 严文莲, 商兆堂, 等.南京冬季雾爆发性增强的物理特征研究[J]. 高原气象, 2008, 27(5): 1111-1118.
[4]万齐林, 吴兑, 叶燕强.南岭局地小地形背风坡增雾使用的分析[J]. 高原气象, 2004, 23(5): 709-713.
[5]潘娅英, 陈武. 引发公路交通事故的气象条件分析[J]. 气象科技, 2006, 34（6）: 778-782.
[6]黄玉仁, 沈鹰, 黄玉生, 等.城市化对西双版纳辐射雾的影响[J]. 高原气象, 2001, 20(2): 186-190.
[7]吴赞平. 沪宁高速公路气象决策支援系统[J]. 现代交通技术, 2006, （5）: 91-94.
[8]贺皓, 吕红, 徐虹.陕西省大雾的气候特征[J]. 高原气象, 2004, 23(3): 407-411.
[9]杨雪英. 建立公路气象预警机制, 降低交通全寿命成本[J]. 中外公路, 2005, 25（6）: 164-166.
[10]林杨, 沈桐立, 邓小丽, 等. 陕西冬季一次大雾天气生消机制的数值模拟[J]. 高原气象, 2010, 29(2): 437-436.
[11]吴彬贵, 张宏升, 汪靖, 等. 一次持续性浓雾天气过程的水汽输送及逆温特征分析[J]. 高原气象, 2009, 28(2): 258-267.
[12]Fisher E L. An experiment in numerical prediction of fog and atratus[J]. J Atmos Sci, 1963, 20(5): 425-437.
[13]Brown R. A numerical study of radiation fog with an explicit formulation of the microphysics[J]. Quart J Roy Meteor Soc, 1980, 106(450): 781-802.
[14]Pagowski M, Gultepe I, King P. Analysis and modeling of an extremely dense fog event in southern Ontario[J]. J Appl Meteorol, 2004, 43(1): 3-16.
[15]周斌斌. 辐射雾的数值模拟[J]. 气象学报, 1987, 45（1）: 21-29.
[16]石红艳, 王洪芳, 齐琳琳, 等. 长江中下游地区一次辐射雾的数值模拟[J]. 解放军理工大学学报（自然科学版）, 2005, 6（4）: 404-408.
[17]樊琦, 吴兑, 范绍佳, 等.广州地区冬季一次大雾的三维数值模拟研究[J]. 中山大学学报(自然科学版), 2003, 42(1): 84-86.
[18]傅刚, 王普茜, 张美根, 等.一次黄海海雾事件的观测与数值模拟研究\_以2004年4月11日为例[J]. 中国海洋大学学报, 2004, 34(5): 720-726.
[19]石红艳, 王洪芳, 齐琳琳, 等.长江中下游地区一次辐射雾的数值模拟[J]. 解放军理工大学学报(自然科学版), 2005, 6(4): 404-408.
[20]董剑希.雾的数值模拟研究及其综合观测[D]. 南京: 南京信息工程大学, 2005.
[21]史月琴, 邓月娇. 一次山地浓雾的三维数值研究[C]. 2005年中国气象学会年会文集. 2005: 5554-5569.
[22]章国材.美国WRF模式的进展和应用前景[J]. 气象, 2006, 32（12）: 27-31.
[23]Cotton W R, Anthes R A. 风暴和云动力学[M]. 北京: 气象出版社, 1993.
PDF(1683 KB)

1023

Accesses

0

Citation

Detail
Sections
Recommended

The system is designed and developed by Beijing magtec Technology Development Co., Ltd. with technical support: support@magtech.com.cn

/

〈 〉