WU Tiantian,CHEN Yu,DUAN Zhongdong.Simulation of typhoon intensity evolution based on retardation growth model[J].,2022,31(05):037-46.[doi:10.13577/j.jnd.2022.0505]





Simulation of typhoon intensity evolution based on retardation growth model
吴甜甜 陈煜 段忠东
哈尔滨工业大学(深圳)土木与环境工程学院, 广东 深圳 518055
WU Tiantian CHEN Yu DUAN Zhongdong
School of Civil and Environmental Engineering, Harbin Institute of Technology(Shenzhen), Shenzhen 518055, China
tropical cyclonetyphoon hazardretardation growth modelintensity model
Located on the west coast of the Northwest Pacific,China is one of the countries seriously affected by tropical cyclones(TC)in the world. From 1963 to 2019,TCs accounted for 50% or even more of the losses caused by natural disasters. Therefore,reliable quantitative analysis of typhoon hazard is essential for government to make disaster prevention and mitigation plans,and also is important for financial institutions(such as insurance and reinsurance industry)and even individual families. The full track synthetic TC model can be used to analyze risk of typhoon disaster by synthesizing a large number of typhoons from generation to extinction,and it is the most potential model to assess typhoon hazard,the basic idea of which is to simulate the track segments first,and then combine them into a complete track and intensity. In this paper,a TC intensity model based on retardation growth model is established to simulate the intensity evolution of TC during its life in the northwest Pacific. The sea-air environmental factors are incorporated into the model,and the sample data are classified into ten categories based on the intensity strengthening or weakening phases of tropical cyclones and intensity classes,and the intensity models based on the stagnant growth model are established separately. Finally,by comparing the JTWC best track records and the results of model simulation in the Northwest Pacific Ocean,it is found that the simulation intensity of the proposed model is consistent with the historical average intensity, but the simulation effect is not good for the rapid enhancement of intensity,which may be related to the lack of sample data.


[1] 朱乾根. 天气学原理和方法[M]. 3版. 北京:气象出版社,2000. ZHU Qiangen. Principles and Methods of Synopsis[M]. 3rd ed. Beijing:China Meteorological Press,2000.(in Chinese)
[2] 陈联寿, 丁一汇. 西太平洋台风概论[M]. 北京:科学出版社,1979. CHEN Lianshou,DING Yihui. Introduction to Typhoon in the Western Pacific Ocean[M]. Beijing:Science Press,1979.(in Chinese)
[3] 陈文方,方建,徐伟,等. 长三角地区台风危险性定量分析[J]. 自然灾害学报,2012,21(1):1-8. CHEN Wenfang,FANG Jian,XU Wei,et al. Quantitative analysis of typhoon hazard in the Yangtze River Delta region[J]. Journal of Natural Disasters,2012,21(1):1-8.(in Chinese)
[4] 段忠东,肖玉凤,肖仪清,等. 基于数值模拟的台风危险性分析综述(Ⅱ):随机抽样模拟与极值风速预测[J]. 自然灾害学报,2012,21(2):1-8. DUAN Zhongdong,XIAO Yufeng,XIAO Yiqing,et al. Review of numerical simulationbased typhoon hazard analysis:random sampling simulation and extreme wind speed prediction[J]. Journal of Natural Disasters,2012,21(2):1-8.(in Chinese)
[5] 陈煜. 基于统计动力学-全路径合成的台风危险性分析方法研究[D]. 哈尔滨:哈尔滨工业大学,2019. CHEN Yu. Study on Statistical DynamicsFull Track Synthesis Method for Typhoon Hazard Analysis[D]. Harbin:Harbin Institute of Technology, 2019.(in Chinese)
[6] LEE C Y,TIPPETT M K,SOBEL A H,et al. An environmentally forced tropical cyclone hazard model[J]. Journal of Advances in Modeling Earth Systems,2018,10(1):223-241.
[7] BLOEMENDAAL N, HAIGH I D, DE MOEL H, et al. Generation of a global synthetic tropical cyclone hazard dataset using STORM[J]. Scientific Data,2020,7:40.
[8] DEMARIA M,KNAFF J A,SAMPSON C. Evaluation of longterm trends in tropical cyclone intensity forecasts[J]. Meteorology and Atmospheric Physics,2007,97(1):19-28.
[9] DEMARIA M. A simplified dynamical system for tropical cyclone intensity prediction[J]. Monthly Weather Review,2009, 137(1):68-82.
[10] DEMARIA M,MAINELLI M,SHAY L K,et al. Further improvements to the statistical hurricane intensity prediction scheme(SHIPS)[J]. Weather and Forecasting,2005,20(4):531-543.
[11] RUMPF J,WEINDL H,HÖPPE P,et al. Stochastic modelling of tropical cyclone tracks[J]. Mathematical Methods of Operations Research, 2007,66(3):475-490.
[12] RUMPF J,WEINDL H,HÖPPE P,et al. Tropical cyclone hazard assessment using modelbased track simulation[J]. Natural Hazards,2009, 48(3):383-398.
[13] VICKERY P J,WADHERA D,TWISDALE L A JR,et al. U.S. hurricane wind speed risk and uncertainty[J]. Journal of Structural Engineering, 2009,135(3):301-320.
[14] EMANUEL K,RAVELA S,VIVANT E,et al. Supplement to a statistical deterministic approach to hurricane risk assessment[J]. Bulletin of the American Meteorological Society,2006,87(3):S1-S5.
[15] EMANUEL K. Climate and tropical cyclone activity:A new model downscaling approach[J]. Journal of Climate,2006,19(19):4797-4802.
[16] LEE C Y,TIPPETT M K,SOBEL A H,et al. Autoregressive modeling for tropical cyclone intensity climatology[J]. Journal of Climate,2016, 29(21):7815-7830.
[17] HALL T M,JEWSON S. Statistical modelling of North Atlantic tropical cyclone tracks[J]. Tellus A:Dynamic Meteorology and Oceanography, 2007,59(4):486-498.
[18] 吴甜甜. 基于统计动力学-全路径合成的台风危险性分析方法的优化与验证[D]. 哈尔滨:哈尔滨工业大学,2020. WU Tiantian. Optimization and Verification of the Statistical DynamicsFull Track Synthesis Method for Typhoon Hazard Analysis[D]. Harbin:Harbin Institute of Technology,2020.(in Chinese)
[19] 段克峰. 基于一种复合模型的中国人口预测模型[J]. 统计与决策,2012(20):30-32. DUAN Kefeng. China’s population prediction model based on a compound model[J]. Statistics & Decision,2012(20):30-32.(in Chinese)
[20] 毛坤,张建波. 改进的人口阻滞增长模型[C]//中国数学力学物理学高新技术交叉研究学会第十二届学术年会论文集. 峨眉山,2008:511-514. MAO Kun,ZHANG Jianbo. Improved population growth retardation model[C]//Proceedings of the 12th Annual Meeting of China Society for Interdisciplinary Research of High Tech in Mathematical Mechanics and Physics. Mount Emei situated in China’s Sichuan Province, 2008:501- 504.(in Chinese)
[21] 郑小洋,罗其莉,姚蕾,等. 人口阻滞增长模型的参数估计与程序实现[J]. 数学学习与研究,2015(1):132. ZHENG Xiaoyang,LUO Qili,YAO Lei,et al. Parameter estimation and program realization of population growth retardation model[J]. Journal of Wuhan Bioengineering Institute,2015(1):132.(in Chinese)
[22] GB/T 19201-2006热带气旋等级[S]. 北京:中国标准出版社,2006. GB/T 19201-2006 General of Tropical Cyclones[S]. Beijing:Standards Press of China,2006.(in Chinese)
[23] BRAND S. Rapid intensification and lowlatitude weakening of tropical cyclones of the Western North Pacific Ocean[J]. Journal of Applied Meteorology,1973,12(1):94-103.


 LIU Tong,YAN Tian-chi.Main meteorological disasters in China and their economic losses[J].,2011,20(05):090.
 YIN Jie,DU Hui-liang,WU Jing.Formation cause of three heavy rainstorms induced by tropical cyclones invading interior territory:comparative analysis[J].,2011,20(05):079.
 CHEN Hui-fen.Tentative study on Pre-evaluation method of tropical cyclone disaster grade[J].,2011,20(05):136.
 WU Xiao-jing,CHEN Yun-hao,ZHENG Xin-jiang,et al.Remote sensing survey of sea surface wind field by QuikSCAT/SeaWinds[J].,2007,16(05):007.
 LIANG Jun,CHEN Lian-shou,WU Shi-jie,et al.Analysis of disaster of tropical cyclone affecting Yellow Sea and Bohai Sea areas[J].,2007,16(05):027.
 YUAN Jin-nan,ZHEN Bin.Yearly variation features of tropical cyclone and its precipitation in Guangdong Province of China[J].,2008,17(05):140.
 WANG Yi,SHI Han-qing,HUANG Si-xun.Spatiotemporal distribution of tropic cyclones in north-west Pacific Ocean[J].,2009,18(05):166.
 ZHANG Jinghong,LIU Shaojun,CAI Daxin.GIS-based wind disaster assessment technology of rubber forest in Hainan Island and its application[J].,2013,22(05):175.
 TIAN Rong-xiang.Influence of climatic warming in Southern Hemisphere on tropical cyclone of northwestern Pacific Ocean[J].,2005,14(05):025.
 WEI Ying-zhi,ZHANG Chang-an,LIN Xiu-bin,et al.Analyses of abnormal path and landing site of Typhoon AERE[J].,2006,15(05):054.


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