地球科学进展 ›› 2008, Vol. 23 ›› Issue (11): 1141 -1149. doi: 10.11867/j.issn.1001-8166.2008.11.1141

综述与评述 上一篇    下一篇

突发性强灾害天气预警系统:理论与应用
刘英,柳崇健,周海光   
  1. 中国气象科学研究院灾害天气国家重点实验室,北京 100081
  • 收稿日期:2008-04-23 修回日期:2008-10-09 出版日期:2008-11-10
  • 通讯作者: 刘英 E-mail:y119@cams.cma.gov.cn
  • 基金资助:

    科技部科研院所社会公益研究专项“突发性强灾害天气预警系统的研制”(编号:2002DIA20013);中国气象科学研究院基本科研业务专项资金资助.

The Early Warning System for Severe Weather Events:The Theory and Applications

Liu Ying,Liu Chongjian,Zhou Haiguang   

  1. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • Received:2008-04-23 Revised:2008-10-09 Online:2008-11-10 Published:2008-11-10

突发性强灾害天气预警系统”以WWW为平台,融贯多种天气预报新技术,为各类用户提供了崭新的预报视角和技术含量较高的预报产品;产品包括强对流指数诊断、基于卫星和雷达的外推产品,中尺度数值模式预报产品,以及基于“综合叠套技术”给出的强天气展望和强天气临近概率预报产品等。通过近几年部分省市业务化运行检验,证明该系统整体自动化程度高,运行稳定,其提供的综合预警产品能有效地为暴雨等强对流天气提供预警信息,提高了暴雨等强天气的预报预警服务质量。

A brief introduction is given to the Early Warning System for Severe Weather Events (EWSSWE) with emphasis on its main functions and the key technologies adopted as well as the applications. Using WWW as its platform, EWSSWE generates and demonstrates a series of forecast and early warning products, including the diagnoses of the severe convection indexes, extrapolative products based on satellites/radars, meso-scale model prediction outputs as well as probability products of severe weather outlook and early warning via "the composite nesting method". The EWSSWE generates rapidly the forecast/warning products that can be called remotely and displayed artistically through the internet with automation and stable operation. Its preliminary applications to the operational services show that the EWSSWE is able to improve the local weather forecast accuracy and thus becomes a powerful tool with the warning products of quality.

中图分类号: 

[1] Wilson J W,Ebert E E,Saxen T R,et al. Sydney 2000 forecast demonstration project:Convective storm nowcasting[J]. Weather Forecasting,2004,19:131-150.

[2] Liao Yufang,Pan Zhixiang,Guo Qing. Technique for forecasting and warning of severe convective weather based on single Doppler weather radar products[J]. Scientia Meteorologica Sinica,2006,265:564-571.[廖玉芳,潘志祥,郭庆.基于单多普勒天气雷达产品的强对流天气预报预警方法[J].气象科学,2006,265:564-571.]

[3] Zeng Mingjian,Yu Bo,Zhou Zengkui,et al. Typhoon operational application and prewarning system[J]. Scientia Meteorologica Sinica,2007,274:451-456.[曾明剑,于波,周曾奎,.台风业务应用和预警系统简介[J].气象科学,2007,274:451-456.]

[4] Wu Guorui,Li Shuqing,Feng Xiaojian. The early warning system for rainstorm and severe convective weather[J]. Guangdong Meteorology,2003,4:28-30.[吴国锐,李淑清,冯小剑.暴雨及强对流天气预警系统[J].广东气象,2003,4:28-30.]

[5] Zhang Xuechen,Zheng Yuanyuan,Yao Chen. Manufacture system of Anhui paroxysmal weather disaster′s early warning signals[J]. Meteorological Monthly,2007,336:108-111.[张雪晨,郑媛媛,姚晨.安徽省突发气象灾害预警信号制作系统[J]. 气象,2007,336:108-111.]

[6] Liu Yuling. A study of severe convective parameters and their potential predictability to severe convective storms[J]. Meteorological Science and Technology,2003,313):147-151.[刘玉玲.对流参数在强对流天气潜势预测中的作用[J]. 气象科技,2003,313):147-151.]

[7] Li Yaodong,Gao Shouting,Liu Jianwen. A computational method of convective energy with applications to severe weather forecasting[J]. Journal of Applied Meteorological Science,2004,151:10-20.[李耀东,高守亭,刘健文. 对流能量计算及强对流天气落区预报技术研究[J]. 应用气象学报,2004,151):10-20.]

[8] Zhou Haiguang,Zhang Peiyuan. A study of the 3D winds during a local heavy rain event with dual-Doppler radar data[J]. Chinese Journal of Atmospheric Sciences,2005,293:372-386.[周海光,张沛源. 一次局地大暴雨三维风场的双多普勒雷达探测研究[J]. 大气科学,2005,293):372-386.]

[9] Zhou Haiguang,Wang Yubin. Dual-Doppler radar.retrieve of the meso-β and-γ-scale Structures in Huaihe river basin during Meiyu on 30 June 2003[J]. Acta Meteorologica Sinica,2005,633):301-302.[周海光,王玉彬. 2003630日梅雨锋大暴雨中βγ结构的双多普勒雷达反演[J]. 气象学报,2005,633):301-302.]

[10] Zhou Haiguang. Nowcasting software system based on new generation Doppler radar[J]. Application Research of Computers,2006,232:129-130.[周海光. 新一代多普勒天气雷达临近预报软件系统[J]. 计算机应用研究,2006,232):129-130.]

[11] Bai Jie,Wang Hongqing,Tao Zuyu. Recognition and tracing of severe convective cloud clusters using IR images of GMS[J]. Journal of Tropical Meteorology,1997,132:158-167.[白洁,王洪庆,陶祖钰. GMS卫星红外云图强对流云团的识别与追踪[J]. 热带气象学报,1997,132):158-167.]

[12] Liu Jianwen,Guohu,Li Yaodong,et al. Computational Basis of Physical Quantities Weather Analysis and Prediction[M]. Beijing:China Meteorological Press,2005. [刘健文,郭虎,李耀东,. 天气分析预报物理量计算基础[M]. 北京:气象出版社,2005.]

[13] Liu Ying,Liu Chongjian. An attempt at improving horizontal diffusion of a meso-scale NWP model via the irreversible thermodynamic operators[J]. Progress in Nature Science,2003,138:833-837.[刘英,柳崇健. 藉不可逆热力学算子改进中尺度数值天气预报模式水平扩散参数化的一个尝试[J]. 自然科学进展,2003,138):833-837.]

[14] Liu C,Liu Y. An attempt at improving a global spectral model by incorporating the second law of thermodynamics[J]. Geophysical Research Letters,2005,32,L03806,doi:10.1029/2004GL021602.

[15] Liu C,Liu Y,Xu H. A physics-based diffusion scheme for numerical models[J]. Geophysical Research Letters,2006,33,L12805,doi:10.1029/2006GL025781.

[16] Liu Ying,Liu Chongjian,Xu Hui,et al. A numerical study of sensitivity of the physical dissipative technique to precipitation parameterization in a mesoscale model[J]. Acta Meteorologia Sinica,2005,191:6 775.

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[2] 桑卫国,朱丽,马克平. 外来种入侵现象、问题及研究重点[J]. 地球科学进展, 2006, 21(03): 305-312.
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