[1]姚才,罗小莉,张成扬,等.7-9月登陆华南台风气候变化特征及大尺度环流系统分析[J].气象研究与应用,2019,40(01):1-6,10.
 Yao Cai,Luo Xiaoli,Zhang Chengyang,et al.The climatic changes of landfall typhoons in South China in July-September and the associated large-scale circulation[J].Journal of Meteorological Research and Application,2019,40(01):1-6,10.
点击复制

7-9月登陆华南台风气候变化特征及大尺度环流系统分析()
分享到:

气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第40卷
期数:
2019年01期
页码:
1-6,10
栏目:
天气气候
出版日期:
2019-04-05

文章信息/Info

Title:
The climatic changes of landfall typhoons in South China in July-September and the associated large-scale circulation
作者:
姚才1 罗小莉2 张成扬3 肖志祥4 孙红梅4
1. 广西壮族自治区气象科学研究所, 南宁 530022;
2. 广西壮族自治区气象服务中心, 南宁 530022;
3. 广西壮族自治区气候中心, 南宁 530022;
4. 广西壮族自治区气象台, 南宁 530022
Author(s):
Yao Cai1 Luo Xiaoli2 Zhang Chengyang3 Xiao Zhixiang4 Sun Hongmei4
1. Guangxi Meteorological Science Institute, Nanning 530022;
2. Guangxi Weather Service Center, Nanning 530022;
3. Guangxi Climate Center, Nanning 530022;
4. Guangxi Meteorological Observatory, Nanning 530022
关键词:
登陆华南台风气候变化大尺度环流系统
Keywords:
Landfall in South ChinaTyphoonClimatic changeslarge-scale circulation
分类号:
P467
摘要:
采用1949-2015年上海台风所提供的热带气旋资料、NCEP/NCAR全球再分析格点资料、国家气候中心提供的74项大气环流指数以及青藏高原积雪等资料,对7-9月登陆华南的热带气旋TC(不含热带低压)和台风TY(含台风及台风以上的热带气旋)的气候变化特征以及大尺度环流特征进行了分析,结果发现:7-9月登陆华南TC及TY频数均有微弱的上升趋势,且年际变化显著,但TC和TY年际变化和准十年波动变化并不总是一致,尤其是近10a来登陆华南的强台风有明显增加的趋势。7-9月登陆华南的TC占登陆中国的一半以上,并且有约3/4是来自西北太平洋生成的台风。从登陆华南TC的区间分布特征来看,以中路最多,西路次之,东路最少。亚洲季风偏弱、西太平洋副高偏西,登陆华南TY偏多,反之亦然。TC偏多(少)年,西太平洋副高偏强偏西(偏强偏东)。TC偏多年110°E以东引导气流出现的反气旋式和气旋式环流对较TC偏少年偏西,反气旋环流南部的东风异常一直延伸到华南地区东部,这样的东风引导气流异常有利于引导热带气旋登陆华南。另外,青藏高原东部和西部积雪偏多、华南气温偏高及西北太平洋海温异常偏暖的情况下也均有利于台风登陆华南。
Abstract:
By using the best track tropical cyclones dataset from Shanghai Institute of Typhoon of CMA, climatic changes of landfall tropical cyclones (TC, tropical depressions excluded) and landfall typhoons (TY, reach the grade of typhoon or above) in South China in July-September are revealed. And characteristics of the large-scale circulation are analyzed by the NCEP/NCAR reanalysis dataset, the 74 indexes of the atmospheric circulation from National Climate Center and snow depth over the Tibetan Plateau. Results found that there is a slightly increase trend in the numbers of landfall TC and TY and it is characterized by significantly interannual variation. Furthermore, interannual variations of the TC and TY are not always in phase with their quasi ten year variation. Especially in the past 10 years, there is an obviously increase trend in the numbers of the strong typhoons landing in South China. The landfall TC in South China occupies half of that landfall in China and almost 75% of them generates over the Northwest Pacific Ocean. Most of the landfall TC tracks in middle path, followed by the west path and the east path suffers the least landfall TC. The weaker Asian summer monsoon and westward of the northwestern Pacific subtropical high is beneficial for TY landfall in South China, vice versa. However, the enhanced (weakened) and westward (eastward) of the northwestern Pacific subtropical high is advantage to more (less) TC landfall. The anti-cyclonic and cyclonic circulation over the east of 110°E in more TC situation is more westward than less TC situation. Abnormal easterly steering flows over the south part of the anticyclonic circulation extends to South China, which eventually is favorable to more TC landing in South China. Above normal snow over the eastern and western Tibetan Plateau, air temperature, and sea surface temperature over northwest Pacific Ocean are beneficial to typhoons landfall in South China.

参考文献/References:

[1] 徐良炎, 高歌.50年台风变化特征及灾害年景评估[J]. 气象,2005,31(3):41-44.
[2] 陈联寿, 丁一汇. 西北太平洋台风概论[M]. 北京:科学出版社,1979:22-26.
[3] 杨玉华, 应明, 陈葆德. 近58年来登陆中国热带气旋气候变化特征[J]. 气象学报,2009,67(5):689-696.
[4] 雷小途, 陈联寿. 热带气旋的登陆及其与中纬度环流系统相互作用的研究[J]. 气象学报,2001.69(5):602-615.
[5] 雷小途. 热带气旋频数的短期气候预测水平评估[J]. 应用气象学报,2001.12(4):501-506.
[6] 王小玲, 王咏梅, 任福民, 等. 影响中国的台风频数年代际变化趋势:1951-2004年[J]. 气候变化研究进展.2006,2(3):135-138.
[7] 周蕾, 吴先华, 高歌. 基于MRIO模型的"一带一路"典型国家气象灾害间接经济损失分析——以2014年中国"威马逊"台风灾害为例[J]. 自然灾害学报, 2018,27(5):1-11.
[8] 罗小莉, 韦晨, 覃卫坚.2011年盛夏广西西北部特大干旱的环流异常特征[J]. 气候与环境研究,2015, 20(3):257-268.
[9] 罗小莉, 姚才, 谭金凯. 登陆华南台风的频数及强度变化特征分析[J]. 海洋预报,2018,35(4):58-67.
[10] 刘通易,吴立广,张娇艳,等.1965-2010年7-9月影响中国的热带气旋降水变化趋势分析[J]. 气象学报,2013,71(1):63-75.
[11] 胡娅敏, 王永光, 王娟怀, 等. 登陆华南台风强度的前兆信号分析及预测[J]. 气象,2017,43(10):1278-1286.
[12] 朱晶晶, 赵小平, 吴慧, 等.2013年影响海南热带气旋异常偏多成因分析[J].气象科学,2016,36(2):262-268.
[13] 罗金铃.热带气旋·广东省志-(自然灾害志)[M]. 广州:广东人民出版社,2001,121-165.
[14] Webster P J,Yang S.Monsoon and Enso:Selectively Interactive Systems[J].Quarterly Journal of the Royal Meteorological Society, 1992,118(507):877-926.
[15] 张庆云, 陶诗言, 陈烈庭. 东亚夏季风指数的年际变化与东亚大气环流[J]. 气象学报,2003,61(4):559-568.
[16] 李崇银, 张利平. 南海夏季风特征及其指数[J]. 自然科学进展,1999,(6):58-63.

相似文献/References:

[1]赖珍权,翟丽萍,古文保.1415号台风“海鸥”的卫星云图及雷达资料分析[J].气象研究与应用,2017,38(02):10.
 Lai Zhenquan,Zhai Liping,Gu Wenbao.Analysis of typhoon Kalmaegi(1415) based on satellite images and radar data[J].Journal of Meteorological Research and Application,2017,38(01):10.
[2]麦雪湖,植江玲,麦文强.台风“彩虹”(1522)的数值模拟及增强条件分析[J].气象研究与应用,2017,38(01):30.
 Mai Xue-hu,Zhi Jiang-ling,Mai Wen-qiang.Analysis on the numerical simulation and enhancing conditions of typhoon “Mujigea”[J].Journal of Meteorological Research and Application,2017,38(01):30.
[3]黄卓,廖雪萍.2016年台风“莎莉嘉”对广西的影响评估[J].气象研究与应用,2017,38(01):40.
 Huang Zhuo,Liao Xue-ping.Impact assessment of typhoon “Sarika” on Guangxi in 2016[J].Journal of Meteorological Research and Application,2017,38(01):40.
[4]李妍君,陈耀登.台风“凡亚比”的诊断分析和数值模拟研究[J].气象研究与应用,2017,38(03):1.
 Li Yan-jun,Chen Yao-deng.Typhoon “Fanapi” diagnostic analysis and numerical simulation research[J].Journal of Meteorological Research and Application,2017,38(01):1.
[5]钟利华,李仲怡,李勇,等.西江流域台风暴雨面雨量分布特征及天气概念模型[J].气象研究与应用,2017,38(03):13.
 Zhong Li-hua,Li Zhong-yi,Li Yong,et al.Areal rainfall distribution characteristics of typhoon torrential rain and weather concept model of Xijiang basin[J].Journal of Meteorological Research and Application,2017,38(01):13.
[6]郑志阳,杨苏勤,刘德和,等.影响福建省惠安县台风气候特征及其不同路径的风雨影响[J].气象研究与应用,2016,37(01):34.
 Zheng Zhiyang,Yang Suqin,Liu Dehe,et al.Influence of fujian province huian typhoon climate characteristics and the effect of different paths[J].Journal of Meteorological Research and Application,2016,37(01):34.
[7]刘远方.台风“海鸥”影响南宁机场强降水过程分析[J].气象研究与应用,2016,37(01):56.
 Liu yuan-fang.The analysis of heavy rainfall process during Nanning airport affected by typhoon “kalmaegi”[J].Journal of Meteorological Research and Application,2016,37(01):56.
[8]周渭,蒋平凡,黎馨.2015台风“彩虹”强降雨过程分析[J].气象研究与应用,2016,37(02):16.
 Zhou Wei,Jiang Ping-fan,Li Xin.Analysis of strong rainfall caused by Typhoon “Mujigae” in 2015[J].Journal of Meteorological Research and Application,2016,37(01):16.
[9]刘英轶,陈婉华,郭晓薇.做好专业天气网站台风气象服务的几点思考[J].气象研究与应用,2017,38(04):107.
 Liu Yingyi,Chen Wanhua,Guo Xiaowei.Thoughts on improving typhoon weather service on professional weather website[J].Journal of Meteorological Research and Application,2017,38(01):107.
[10]黄荣,黄晴,屈梅芳,等.1713号台风“天鸽”外围龙卷特征及成因分析[J].气象研究与应用,2018,39(01):28.
 Huang Rong,Huang Qing,Qu Meifang,et al.Analysis of the characteristics and causes of the peripheral tornado of NO.1713 Typhoon Hato[J].Journal of Meteorological Research and Application,2018,39(01):28.

备注/Memo

备注/Memo:
收稿日期:2018-12-1。
基金项目:国家自然科学基金项目(41465003)、(41665006)、(41575051)、(41765002)共同资助。
作者简介:姚才(1962-),男,博士,正研高工,主要从事天气气候研究,E-mail:dlhntfyj@126.com。
更新日期/Last Update: 1900-01-01