颠覆列车强风数值模式参数敏感性对比分析

摘要/Abstract

摘要： 新疆的三十里风区是著名的风口,兰新线和南疆铁路线横穿此地,时有列车被强风颠覆,对铁路运输影响很大,急需大风精细预报。数值模式中有许多参数,如何确定改进预报最显著的参数是个问题。采用MM5V3模式做模拟实验,设计3重嵌套,最小格距3 km,用30″数字高程数据生成模式地形。分析表明,3 km格距模式分辨率对地形有较为精确的表达。无论东西剖面还是南北剖面,3 km所预报的风场更为详细,风速预报更准确;不仅可以预报出强的下坡风,亦可以预报出地形波列。对强风预报而言,模式水平分辨率是一个敏感因子。

关键词: 模式分辨率, 精细预报, 地形数据

Abstract: Accurate forecast of gales is badly needed in the Sanshili Wind Area of Xinjiang, a famous wind area for its so extremely strong wind that the trains passing by are frequently overthrown. A study on numerical parameters' sensitivity of the MM5V3 model has been conducted with designed 3 nested domains (3 km, 9 km, and 27 km) and based on the 30″-DEM (digital elevation model). The simulation results show that the resolution of 3-km is capable of describing topography precisely, and the wind field with 3-km grid resolution is more detailed and the simulated wind speed is more precise as well. Therefore, the horizontal resolution of models is a sensitive factor for gale prediction.

Key words: model resolution, accurate forecast, topographic data

中图分类号:

P435

马国忠;张广兴;马玉芬. 颠覆列车强风数值模式参数敏感性对比分析[J]. 中国沙漠, 2010, 30(6): 1458-1463.

MA Guo-zhong;ZHANG Guang-xing;MA Yu-fen. Contrast Analysis of Numerical Parameters Sensitivity in Train-Overthrowing Gale Simulation[J]. JOURNAL OF DESERT RESEARCH, 2010, 30(6): 1458-1463.

参考文献

[1]Scorer R S.Theory of wave in the lee of mountains[J].Quart J Roy Meteor Soc,1949,75(1):41-56.
[2]Klemp J B,Lilly D K.Numerical simulation of hydrostatic mountain wave[J].J Atoms Sci,1975,32(1):87-107.
[3]Klemp J B,Lilly D K.The dynamics of wave-induced downslope wind[J].J Atoms Sci,1975,32(2):320-329.
[4]Lilly D K.A severe downslope windstorm and aircraft turbulence event induce by a mountain wave[J].J Atmos Sci,1978,35(1):59-77.
[5]Eliassen A,Palm E.On the transfer of energy in stationary mountains waves[J].Geofys Publ,1961,22(3):1-23.
[6]Klemp J B,Lilly D K.Numerical simulation of hydrostatic mountain waves[J].J Atmos Sci,1978,35(1):78-106.
[7]Lilly D K,Zipser E J.The front range windstorm of 11 January 1972[J].A Meteorological Narrative Weatherwise,1972,25(1):56-63.
[8]Durran D R.Another look at downslope windstorms.Part Ⅰ:On the development of analogs to supercritical flow in an infinitely deep, continuously stratifide fluid[J].J Atmos Sci,1986,43(21):2527-2543.
[9]Durran D R, Klemp J B.A compressible model for the simulation of moist mountain waves[J].Mon Wea Rev,1983,111(12):2341-2361.
[10]Clark T L, Hall W D.Two and there dimensional simulations of the 9 January 1989 severe Boulder windstorm:Comparison with observation [J].J Atmos Sci,1994,51(16):2317-2343.
[11]Isaacson E.Mountain winds[J].Stud Numer Anal,1970,2:21-52.
[12]叶笃正.小地形对气流的影响[J].气象学报,1956,27(3):241-262.
[13]Wu Rong sheng.The surface friction and the flow over mountain[J].Adv in Atmos Sci,1991,8(3):272-278.
[14]李冀.背风波形成的非线性数值试验及其对降水的影响[J].大气科学,1978,2(3):210-218.
[15]桑建国.下坡运动的分析解[J].气象学报,1989,47(2):191-198.
[16]肖庆农,伍荣生.地形对于气流运动影响的数值研究[J].气象学报,1995,53(1):38-49.
[17]臧增亮,张铭.层模式背风波的理论研究[J].气象学报,2004,62(4):395-400.
[18]刘辉志,洪钟祥,桑建国.对流边界层中过山气流的数值模拟[J].气候与环境研究,2001,6(3):305-311.
[19]王建捷,胡欣,郭肖容等.MM5模式中不同对流参数化方案的比较试验[J].应用气象学报,2001,21(1):41-53.
[20]蔡丹,范春晖,王丽琼.一次强下坡风暴及其空中湍流区的数值模拟[J].解放军理工大学学报(自然科学版),2006,7(1):84-88.
[21]寿绍文,励申申,姚秀萍.中尺度气象学[M].北京:气象出版社,1999:31-34.
[22]孟齐辉,吕斌,刁平,等.乌鲁木齐地区东南大风分布规律的研究[J].新疆气象,1996,19(1):5-9.
[23]苏小岚.1998年4月乌鲁木齐东南大风天气过程分析[J].新疆气象,2001,24(1):15-17.
[24]姚正毅,王涛,陈广庭,等.近40 a甘肃河西地区大风日数时空分布特征[J].中国沙漠,2006,26(1):65-70.
[25]李正明,杨先荣,王劲松.春季大风沙尘天气的气候特征及预报系统——以甘肃临夏州为例[J].中国沙漠,2007,27(4):663-667.
[26]杨晓玲,丁文魁,钱莉,等.一次区域性大风沙尘暴天气成因分析[J].中国沙漠,2005,25(5):702-705.
[27]丁荣,张德玉,梁俊宁,等.甘肃河西走廊中部近45 a来大风沙尘暴气候背景分析[J].中国沙漠,2006,26(5):792-796.
[28]张润琼,陈世平,刘莉娟,等.近45 a六盘水大风天气气候特征分析[J].中国沙漠,2009,29(4):773-776.
[29]丁秀玲,赵春晖,贺占军.乌鲁木齐铁路局:13级大风造成列车脱轨3人死亡[EB/OL].北京:新华网,(2007-02-28)[2010-08-25].