南京大学学报(自然科学版) ›› 2012, Vol. 48 ›› Issue (6): 701708.
张兴海1·2,郁凡1**
Zhang Xing-Hai 1,2,Yn Fan1
摘要: 本文利用日本静止卫星MTSAT的观测资料以及福建省气象台发布的2008年台风资料,对
2008年三个台风:凤凰、森拉克、黑格比进行了研究.以人机交互的方式通过从静i1=卫星红外(10. 8 ? m,
lRl)、水汽(6.7 ? m,WV)波段图像获取相关信息,定义了面积指数、中心亮温指数、最小亮温指数,初步
研究了其与台风强度的关系.发现IRl亮温面积指数在台风增强过程中与强度变化有很好的对应关系;
而 IRl中心亮温指数与台风强度整体变化趋势一致;lRl最小亮温指数在台风由强变弱时急剧下降,具
有一定的指示意义;红外水汽亮温差(lR WV)面积指数与IRl中心亮温指数变化趋势相似,但变化幅度
更明显.通过本文的研究,可以为台风强度变化的研究提供量化的卫星观测指标.在实际业务中,对海上
台风的强度很难测量,可利用这些指标对台风发展作出初步判断.
[1]Duan Y H,Yu H, Wu R S. Review of the research in the intensity change of tropical cyclone. Acta Metes orological Sinica,2005,63(5):637-645.(端义宏,余晖,伍荣生.热带气旋强度变化研究进展.气象学报,2005,63(5):637-645). [2]Dorak V.Tropical cyclone intensity analysis and forecasting from satellite imagery. Monthly Weather Review, 1975,103:420~430. [3]Fang Z Y, Xiao W N, Yao Z Q, et al. Application of digital cloud imagery in analysis and prediction of ty- phoon. Bulletin of nstitute of Atmospheric Physics, Chinese Academy of Sciences. 1979,8;2~8.(方宗义,肖稳安,姚祖庆等.数字云图在台风分析预报 中的应用,中国科学院大气物理研究所集刊. 1979,8:2一8). [4]Fang Z Y,Zhou L X. Estimation of tropical cy clone intensity by use of UMS infrared imagery. Acta Meteorological Sinica, 1980,38(2):151一159.(方宗义,周连翔.用地球同步气象卫星红外云图估计热带气旋的强度.气象学报,1980,38(2):151一169). [5]Li X F, Fan H J,Yan F J,et al.The technique for determining tropical cyclone intensity with enhanced satellite cloud imagery. Quarterly Journal of Applied Meteorology,1993,4(3):363-369.(李修芳,范蕙 君,燕芳杰等.用增强显示云图确定热带气旋强度 的方法.应用气象学报,1993,4(3):363-369). [6]Zehr R, improving objective satellite estimates of tropical cyclone intensity.The 4th Conference on Satellite Meteorology and Oceanography, San Di- ego,United State; 16一19 May 1989:J25一J28. [7]Hawkins J D, Lee T F, Richardson K, et al. Satellite multi-sensor tropical cyclone structure monitoring. Bulletin of the American Meteorological Society, 2001,82(4):567一578. [8]Velden C S, Olander T L. Bispectral satellite technique for delineating intense convection; Ap- plications to tropical cyclones.The 9th Conference on Satellite Meteorology and Oceanography, Par- is,France,American Meteor Society, 1998,2:458 ~461. [9]Olander T L, Velden C S. Tropical cyclone convec- tion and intensity analysis using differenced infrared and water vapor imagery. Weather and Forecasting, 2009,24:1558一1572. [10]Liu Z G,Qiu H M, Wu B,et al. Center locating of non-eye typhoon based on satellite cloud image. Journal of Tianjin Univcrsity,2003,36(6):669一 672.(刘正光,邱海明,吴冰等.基于卫星云图的无眼台风中心定位算法.天津大学学报,2003, 36 (6):669一692. [11]Holland G J.The maximum potential intensity of tropical cyclones. Journal of Atmospheric Science, 1997,54:2519一2541. [12]Chaboureau J P, Cammas J P,IW ron J,et al. A numerical study of tropical cross-tropopause transport by connective overshoots. Atmospheric Chemistry and Physics,2007,7:1731一1740. [13]Schmetz J,Tjcmkcs S A,Gube M,et al. Monito- ring deep convection andconvective overshooting with METEOSAT.Advances in Space Research,1997,19:433一441. [14]Zhang D L,Chen H, importance of the upper-lev el warm core in the rapid intensification of a trop ical cyclone. Geophysical Research Letters,2012 ,39:L02806 |
No related articles found! |
|