WRF模式中3种闪电参数化方案的对比分析

doi:10.13284/j.cnki.rddl.002846

热带地理 ›› 2016, Vol. 36 ›› Issue (4): 673-681.doi: 10.13284/j.cnki.rddl.002846

WRF模式中3种闪电参数化方案的对比分析

史东东¹，杨仲江¹，向春燕¹，杨虎²，许永彬²

（1．南京信息工程大学 a．中国气象局气溶胶与云降水重点开放实验室；b．大气物理学院，南京 210044；2．西藏自治区防雷中心，拉萨850000）

收稿日期:2015-05-22 出版日期:2016-07-05 发布日期:2016-07-05
作者简介:史东东（1991―），男，江苏扬州人，硕士研究生，主要从事雷电物理研究，（E-mail）20141214208@nuist.edu.cn
基金资助:
国家自然科学基金项目（41175003）；江苏高校优势学科建设工程资助项目（PAPD）

Comparative Analysis of Three Lightning Parameterization Schemes in WRF Model

SHI Dongdong¹，YANG Zhongjiang¹，XIANG Chunyan¹，YANG Hu²，XU Yongbin²

（1．a．Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration；b．School of Atmospheric Physics，Nanjing University of Information Science & Technology，Nanjing 210044，China；2．Tibet Lightning Protection Center，Lhasa 850000，China）

Received:2015-05-22 Online:2016-07-05 Published:2016-07-05

摘要/Abstract

摘要：

利用WRF 模式V3.6.1 中3 种基于经验公式的闪电参数化方案对2013-07-05 江苏省内的1 次飑线过程进行数值模拟，对比3 种方案在模拟闪电位置和频数的特点，分析模拟结果的成因。结果表明：PR92w 方案能够很好地模拟闪电的分布位置；PR92z 方案的模拟结果和PR92w 方案正好相反，闪电频数与实测结果有很好的一致性但分布位置出现偏移；LPI 方案虽然能指示闪电分布区域，但对高闪电密度区的预报有一定误差。3 种方案的模拟结果表明：垂直风速和雷达回波是影响模式预报闪电频数和分布的重要因素。因此，增大网格模拟精度和同化雷达资料是改善PR92 方案模拟效果的重要途径。

关键词: WRF 模式, 闪电参数化, 垂直风速, 雷达回波

Abstract:

A squall line that occurred in Jiangsu Province on July 5, 2013, was successfully simulated with the WRF model by using three kinds of lightning parameterization schemes, which were based on empirical formulae.Comparative analysis of different schemes in simulating the distribution and frequency of lightning has beendone. Furthermore, we have discussed the reasons of simulation errors, which lay good foundation for lightningmonitoring and prediction. The results show that PR92w scheme exhibiting the location of lightning is in goodagreement with the observations, but the flash count has certain difference with the actual situation.Coincidentally, the results of PR92z scheme is opposite with that of PR92w scheme. Although forecast in highflash density using LPI is not so correct, it can indicate the distribution of lightning to some extent. Error analysishas revealed that vertical velocity and radar echo are the main factors of influencing the forecast in flash.According to the above results, increasing the grid precision and assimilating radar data is the main approach forimproving the simulation results of PR92 schemes.

Key words: WRF model, lightning parameterization, vertical wind, radar echo

史东东，杨仲江，向春燕，杨虎，许永彬. WRF模式中3种闪电参数化方案的对比分析[J]. 热带地理, 2016, 36(4): 673-681.

SHI Dongdong，YANG Zhongjiang，XIANG Chunyan，YANG Hu，XU Yongbin. Comparative Analysis of Three Lightning Parameterization Schemes in WRF Model[J]. TROPICAL GEOGRAPHY, 2016, 36(4): 673-681.

参考文献

[1] RAWLINS F．A numerical study of thunderstorm electrification using three-dimensional model in corporating the ice phase[J]．Q. J. R. Meteor. Soc.，1982，108：779-800．

[2] HELSDON J H，WU G，FARLEY R D．An intracloud lightning parameterization scheme for a storm electrification model[J]．Journal of Geophysical Research：Atmospheres（1984-2012），1992，97（D5）：5865-5884．

[3] MACGORMAN D R，STRAKA J M，ZIEGLER C L．A lightning parameterization for numerical cloud models[J]．Journal of Applied Meteorology，2001，40（3）：459-478．

[4] MANSELLER，MACGORMAN D，ZIEGLER CL，STRAKA JM．Simulated three dimensional branched lightning in a numerical thunderstorm model[J]．Journal of Geophysical Research，2002，107（D9）：4075．DOI：10.1029/2000JD000244．

[5] ALLEN D J，PICKERING K E．Evaluation of lightning flash rate parameterizations for use in a global chemical transport model[J]．Journal of Geophysical Research Atmospheres，2002，107（D23）：ACH 15-1-ACH 15-21．

[6] ALLEN D，PICKERING K，DUNCAN B，DAMON M．Impact of lightning NO emissions on North American photochemistry as determined using the Global Modeling Initiative（GMI）model[J]．Journal of Geophysical Research Atmospheres，2010，115（D22）：1842-1851．

[7] CHOI Y，WANG Y，ZENG T，MARTIN R，KUROSU T，CHANCE K．Evidence of lightning NOx and convective transport of pollutants in satellite observations over North America[J]．Geophysical Research Letters，2005，32（2）：139-181．

[8] ZHAO C，WANG Y，CHOI Y，ZENG T．Summertime impact of convective transport and lightning NO x production over North America：modeling dependence on meteorological simulations[J]．Atmospheric Chemistry & Physics，2009，9（13）：2289-2317．

[9] BRIGHT D，WANDISHIN M，JEWELL R E，WEISS S J．A physically based parameter for lightning prediction and its calibration in ensemble forecasts[C]//Amer. Meteor. Soc.．San Diego，CA：Preprints，Conf. on Meteor. 30 Appl. of Lightning Data.，2005：12．

[10] HANSEN A E，FUELBERG H E，PICKERING K E，PECKHAM S E，HART R E．Lightning NOx parameterization for WRF-Chem at the regional scale[C]．New Orleans，Louisiana：92nd Amer. Meteor. Soc. Annual Meeting，2012：10．

[11] 郑栋，张义军，孟青，吕伟涛．北京地区雷暴过程闪电与地面降水的相关关系[J]．应用气象学报，2010，21（3）：287-297．

[12] FUTYAN J M，DEL Genio A D．Relationships between lightning and properties of convective cloud clusters[J]．Geophysical Research Letters，2007，34（15）：87-101．

[13] BARTHE C，DEIERLING W，BARTH M C．Estimation of total lightning from various storm parameters：a cloud-resolving model study[J]．J. Geophys. Res.，2010，115（2）：4202-4219．

[14] PRICE C，RIND D．A simple lightning parameterization for calculating global lightning distributions[J]．Journal of Geophysical Research，1992，97（D9）：9919-9933．

[15] PRICE C，RIND D．What determines the cloud-to-ground lightning fraction in thunderstorms?[J]．Geophysical Research Letters，1993，20（6）：463-466．

[16] PRICE C，RIND D．Modeling Global Lightning Distributions in a General Circulation Model[J]．Monthly Weather Review，1994，122（8）：1930-1939．

[17] WONG J，BARTH M C，NOONE D．Evaluating a lightning parameterization based on cloud-top height for mesoscale numerical model simulations[J]．Geoscientific Model Development，2013，6（2）：429-443．

[18] YAIR Y，LYNN B，PRICE C，et al．Predicting the potential for lightning activity in Mediterranean storms based on the Weather Research and Forecasting（WRF）model dynamic and microphysical fields[J]．Journal of Geophysical Research．Atmospheres，2010，115（4）：3296-3306．

[19] VONNEGUT B．Some facts and speculations concerning the origin and role of thunderstorm electricity[J]．Meteorol. Monogr.，1963，5（27）：224-241．

[20] Williams E R．Large-scale charge separation in thunderclouds[J]．Journal of Geophysical Research Atmospheres，1985，90（D4）：6013-6025．

[21] MICHALON N，NASSIF A，SAOURI T，ROYER J F，PONTIKIS C A．Contribution to the climatological study of lightning[J]．Geophysical Research Letters，1999，26（26）：3097-3100．

[22] 王焱，潘益农，潘玉洁．一次飑线过程的数值模拟及诊断分析[J]．南京大学学报（自然科学版），2008，44（6）：583-597．

[23] 王晓芳，胡伯威，李灿．湖北一次飑线过程的观测分析及数值模拟[J]．高原气象，2010，29（2）：471-485．

[24] 李娜，冉令坤，高守亭．华东地区一次飑线过程的数值模拟与诊断分析[J]．大气科学，2013，37（3）：595-608．DOI：10.3878/j.issn.1006- 9895.2012.12007．

WRF模式中3种闪电参数化方案的对比分析

Comparative Analysis of Three Lightning Parameterization Schemes in WRF Model

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