Journal of Tropical Oceanography >
Analysis of characteristics of brightness temperature relative power spectrum before and after typhoon landfall in Guangdong coastal area
Copy editor: LIN Qiang
Received date: 2019-01-03
Request revised date: 2019-04-18
Online published: 2019-11-26
Supported by
Combination Project with Monitoring, Prediction and Scientific Research of Earthquake Technology, CEA(CEA3JH2017-0124)
Earthquake Science and Technology Star Fire Plan(XH2018034Y)
Copyright
In the period of 2008-2017, there were 25 typhoons that made landfall in the coastal areas of Guangdong, China. However, abnormal thermal radiation around the typhoon landing area has not attracted much attention so far. In this paper, the infrared remote sensing temperature data of Chinese geostationary meteorological satellite FY-2C/2E are used to analyze the thermal radiation anomalies associated with typhoon landfall. The temporal and spatial distributions of thermal radiation before and after typhoon landfall are quantified using bright temperature relative power spectrum (RPS). It is found that with the typhoon landfall, RPS was five times greater than the background value, experiencing a process of generating— increasing—reaching maximum—attenuating—extinction, which lasted longer than the typhoon process itself. There was a correlation between the area with enhanced RPS and typhoon landfall path, limited by terrestrial conditions and ocean heat supply. By analyzing the landfall path and RPS change trend during the typhoon landfall process, we show that the thermal radiation lasted for 10-20 days before and after typhoon landfall, and the thermal anomalies during this period were all related to the typhoon process. The mechanism of thermal radiation anomalies caused by typhoon landfall may be related to the heating leakage and water-vapor accumulation, that is, the ocean heat absorbed by typhoon is modulated by the air-sea interaction as the air rises, resulting in thermal radiation variation in different frequency bands and regions.
ZHANG Xin , CHEN Mingyu . Analysis of characteristics of brightness temperature relative power spectrum before and after typhoon landfall in Guangdong coastal area[J]. Journal of Tropical Oceanography, 2019 , 38(6) : 29 -40 . DOI: 10.11978/2019003
表1 2008—2017年登陆广东沿海的台风基本信息Tab. 1 Basic information of landfall typhoons in the coastal area of Guangdong during 2008-2017 |
时间 | 登陆地 | 名称 | 级别 | 编号 |
---|---|---|---|---|
2008-06-25 | 深圳 | 风神 | 4 | 0806 |
2008-08-06 | 阳西 | 北冕 | 3 | 0809 |
2008-08-22 | 中山 | 鹦鹉 | 5 | 0812 |
2008-09-24 | 电白 | 黑格比 | 5 | 0814 |
2008-10-04 | 吴川 | 海高斯 | 3 | 0817 |
2009-06-26 | 惠东 | 浪卡 | 3 | 0904 |
2009-08-05 | 台山 | 天鹅 | 3 | 0907 |
2009-09-15 | 台山 | 巨爵 | 4 | 0915 |
2010-07-22 | 吴川 | 灿都 | 4 | 1003 |
2011-06-23 | 阳西 | 海马 | 3 | 1104 |
2012-06-30 | 珠海 | 杜苏芮 | 3 | 1206 |
2012-07-24 | 台山 | 韦森特 | 4 | 1208 |
2012-08-17 | 湛江 | 启德 | 4 | 1213 |
2013-07-02 | 湛江 | 温比亚 | 3 | 1306 |
2013-08-14 | 阳西 | 尤特 | 6 | 1311 |
2013-09-22 | 汕尾 | 天兔 | 6 | 1319 |
2014-06-15 | 汕头 | 海贝斯 | 3 | 1407 |
2014-07-18 | 徐闻 | 威马逊 | 6 | 1409 |
2015-07-09 | 陆丰 | 莲花 | 4 | 1510 |
2015-10-04 | 湛江 | 彩虹 | 5 | 1522 |
2016-08-02 | 深圳 | 妮妲 | 5 | 1604 |
2016-10-21 | 汕尾 | 海马 | 6 | 1622 |
2017-06-12 | 深圳 | 苗柏 | 4 | 1702 |
2017-08-23 | 台山 | 天鸽 | 6 | 1713 |
2017-10-16 | 徐闻 | 卡努 | 5 | 1720 |
图1 热红外亮温数据经小波变换后信息分离a为原始亮温数据序列; b—d为小波分离后的2、4、6阶结果, 黑色线表示对原始数据进行分离的结果; e—g分别为2、4、6阶细节与7阶尺度的差, 红色线表示对分离结果取相对差值 Fig. 1 Wavelet transformation results of RPS. Panel a shows the original brightness temperature data sequence. Panels b-d show the results of the 2/4/6 order after wavelet separation, with black curve representing the results of wavelet separation of the original data. Panels e—g show the results of subtraction of 2/4/6 order detail and 7th order scale, with red curve representing the relative difference between the results of wavelet decomposition |
图2 亮温相对功率谱时序曲线与台风登陆时间对应关系a. 登陆广东沿海的25个台风强度和6个区域的RPS时序曲线; b. 汕尾区域1—3频的时序曲线小波能谱; c. 汕尾区域4—6频的时序曲线小波能谱 Fig. 2 Correspondence between RPS time series curves and typhoon landfall times. Panel a shows the 25 landfall typhoon strengths in the coast of Guangdong and the RPS time series curves for six regions. Panel b shows wavelet spectra of bands 1-3 in Shanwei. Panel c shows wavelet spectra of bands 4-6 in Shanwei |
图3 广东沿海地区典型台风“天鸽”热红外RPS演变a—h分别为台风发展过程的典型RPS分布, 图中日期为RPS获取的实际日期, 红色日期表示登陆当日, 红色线表示台风路径, RPS频段为1频。d中超强台风“天鸽”登陆时间为2017-08-23, 登陆地点为台山 Fig. 3 RPS evolution of a typical typhoon “Hato” in the coastal area of Guangdong. Panels a-h show the typical RPS distribution of typhoon development process. The date is the actual date used to obtain the RPS. The date in red indicates the date of landfall, the red line indicates the typhoon path, and the RPS is in band 1. Panel d shows the super typhoon "Hato" made landfall in Taishan on Aug 23, 2017 |
图4 广东沿海地区典型台风“莲花”的RPS演变a—h分别为台风发展过程的典型RPS分布, 图中日期为RPS获取的实际日期, 红色日期表示登陆当日, 红色线表示台风路径, RPS频段为1频。超强台风“莲花”登陆时间为2015-07-09, 登陆地点为陆丰 Fig. 4 RPS evolution of a typical typhoon “Linfa” in the coastal area of Guangdong. Panels a-h show the typical RPS distribution of typhoon development process. The date is the actual date used to obtain the RPS. The date in red indicates the date of landfall, the red line indicates the typhoon path, and the RPS is in band 1. Panel d shows the super typhoon “Linfa” made landfall Lufeng on Jul 09, 2015 |
图5 一般强度热带气旋“海贝斯”的RPS演变a—f分别为台风发展过程的典型RPS分布。图中日期为RPS获取的实际日期, 红色日期表示登陆当日, 红色线表示台风路径, RPS频段为5频。“海贝斯”登陆时间为2014-06-15, 登陆地点为汕头 Fig. 5 RPS evolution of a low-intensity tropical cyclone “Hagibis” in the coastal area of Guangdong. Panels a-f show the typical RPS distribution of typhoon development process. The date is the actual date used to obtain the RPS. The date in red indicates the date of landfall, the red line indicates the typhoon path, and the RPS is in band 5. "Hagibis" made landfall in Shantou on Jun 15, 2014 |
图6 不同频率段出现的RPS异常a—f分别为台风发展过程的典型RPS分布, 图中日期为RPS获取的实际日期, 红色线表示台风路径, 图中编号1B—6B表示RPS的1—6频段, 登陆日期是2010-07-22, 登陆地为吴川 Fig. 6 RPS anomalies in different frequency ranges. Panels a-f show the typical RPS distribution of typhoon development process. The date is the actual date used to obtain the RPS. The date in red indicates the date of landfall, and the red line indicates the typhoon path. The numbers 1B-6B indicate bands 1-6 of the RPS. The typhoon made landfall in Wuchuan on Jul 22, 2010 |
图7 广东沿海25个台风的RPS异常综合信息图中RPS都是登陆当日的最大面积/强度的频率段, 子图上的数字如“2008-10-04, 海高斯”表示台风登陆的日期和台风名称 Fig. 7 Comprehensive information on RPS anomalies of the 25 landfall typhoons along the Guangdong coastal area. All the RPS in these insets correspond to the band of the maximum area/intensity on the landfall day. Notation of “2008-10-04, Haigaos” indicates the typhoon landfall date, and typhoon name |
图8 三个台风的RPS时序曲线对比a叠加了RPS极大值在登陆之后的曲线; b叠加了出现在登陆之前曲线; c为2011-06-23登陆阳西的典型台风, 时序曲线正常; d为2014-07-18登陆徐闻的台风, 其时序曲线在登陆当日不明显; e为2013-07-02登陆湛江的台风, 其时序曲线在登陆当日也不明显升高。图中1B—6B表示1—6频的RPS Fig. 8 Comparison of RPS time series curves of three typhoons. In panel a, the curve of the RPS maximum value after landfall is superimposed. In panel b, the curve before landfall is superimposed. Panel c shows the typical typhoon that landed in Yangxi on Jun 23, 2011. Panel d shows the typhoon landed in Xuwen on Jul 18, 2014, whose time series curve is not obvious on the landfall day. Panel e shows the typhoon that landed in Zhanjiang on Jun 02, 2013, and its time series curve did not increase significantly on the landfall day. Notations 1B-6B refer to the RPS of bands 1 to 6 |
1 |
丁一汇, 孔军 , 1988. 三维热带气旋的数值模拟及辐射对其影响的研究[J]. 中国科学B辑, ( 8):887-898.
|
2 |
郭胜利, 李锋, 葛非 , 2018. 前期热带太平洋次表层海温异常与东亚夏季风的可能联系[J]. 大气科学学报, 41(1):103-112.
|
3 |
郭晓, 张元生, 钟美娇 , 等, 2010. 提取地震热异常信息的功率谱相对变化法及震例分析[J]. 地球物理学报, 53(11):2688-2695.
|
4 |
赖志娟, 彭世球, 李毅能 , 等, 2011. 南海夏季风爆发与南海热含量异常特征的相关分析[J]. 热带海洋学报, 30(6):47-56.
|
5 |
李薛, 付东洋, 张莹 , 等, 2016. 超强台风“威马逊”对南海西北海域海洋环境的影响[J]. 热带海洋学报, 2016,35(6):19-28.
|
6 |
刘贝, 卢绍宗, 钱钰坤 , 等, 2014. ATOVS亮温资料同化在台风数值模拟中的应用[J]. 热带海洋学报, 33(1):44-53.
|
7 |
刘凯, 宋晓姜, 王彰贵 , 等, 2017. 1522号强台风“彩虹”近海急剧增强特征及机理分析[J]. 海洋预报, 34(4):32-41.
|
8 |
戚佩霓, 沈菲菲, 寇蕾蕾 , 等, 2019. 多普勒雷达资料同化在台风“灿都”(2010)预报中的应用研究[J]. 热带海洋学报, 38(2):20-31.
|
9 |
孙灏, 陈云浩, 占文凤 , 等, 2015. 一种近似用于高发射率城市地表热红外等效发射率的方向性变异核驱动模型及其不确定性分析[J]. 红外与毫米波学报, 34(1):66-73.
|
10 |
王桂华, 黄韦艮, 王辉 , 2006. 利用HOAPS资料研究南海海气界面热通量时空分布[J]. 海洋学报, 28(4):1-8.
|
11 |
吴迪生, 邓文珍, 张俊峰 , 等, 2001. 南海台风状况下海气界面热量交换研究[J]. 大气科学, 25(3):329-341.
|
12 |
吴迪生, 冯伟忠, 许建平 , 等, 2006. 1986年南海季风海-气界面热量交换[J]. 科学通报, 51(3):355-360.
|
13 |
晏红明, 李清泉, 袁媛 , 等, 2013. 夏季西北太平洋大气环流异常及其与热带印度洋—太平洋海温变化的关系[J]. 地球物理学报, 56(8):2542-2557.
|
14 |
杨龙奇 , 2015. 海洋近表层流和上层温盐对1215号台风“天秤”的响应[J]. 热带海洋学报, 34(3):13-22.
|
15 |
杨晓霞, 唐丹玲 , 2010. 台风引起南海海表面降温的位置变化特征[J]. 热带海洋学报, 29(4):26-31.
|
16 |
伊鑫, 曲爱华 , 2010. 基于Welch算法的经典功率谱估计的Matlab分析[J]. 现代电子技术, 33(3):7-9.
|
17 |
张丽峰, 郭晓, 张璇 , 等, 2016. 强震中波红外异常特征研究[J]. 地震工程学报, 38(6):977-984.
|
18 |
张勇, 戎志国, 闵敏 , 2016. 中国遥感卫星辐射校正场热红外通道在轨场地辐射定标方法精度评估[J]. 地球科学进展, 31(2):171-179.
|
19 |
张元生, 郭晓, 钟美娇 , 等, 2010. 汶川地震卫星热红外亮温变化[J]. 科学通报, 55(10):904-910.
|
20 |
朱乾根, 林锦瑞, 寿绍文 , 等, 2000. 天气学原理和方法[M]. 3版. 北京: 气象出版社: 489-489.
|
21 |
|
22 |
|
23 |
|
24 |
|
25 |
|
26 |
|
27 |
|
/
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