IOCAS-IR  > 海洋环流与波动重点实验室
A new technique for automatically locating the center of tropical cyclones with multi-band cloud imagery
Lu, Xiaoqin1; Yu, Hui1; Yang, Xiaoming2; Li, Xiaofeng3,4; Tang, Jie1
2019-10-11
Source PublicationFRONTIERS OF EARTH SCIENCE
ISSN2095-0195
Pages12
Corresponding AuthorLu, Xiaoqin(luxq@typhoon.org.cn)
AbstractA spiral cloud belt matching (SCBeM) technique is proposed for automatically locating the tropical cyclone (TC) center position on the basis of multi-band geo-satellite images. The technique comprises four steps: fusion of multi-band geo-satellite images, extraction of TC cloud systems, construction of a spiral cloud belt template (CBT), and template matching to locate the TC center. In testing of the proposed SCBeM technique on 97 TCs over the western North Pacific during 2012-2015, the median error (ME) was 50 km. An independent test of another 29 TCs in 2016 resulted in a ME of 54 km. The SCBeM performs better for TCs with intensity above "typhoon" level than it does for weaker systems, and is not suitable for use on high-latitude or landfall TCs if their cloud band formations have been destroyed by westerlies or by terrain. The proposed SCBeM technique provides an additional solution for automatically and objectively locating the TC center and has the potential to be applied conveniently in an operational setting. Intercomparisons between the Automated Rotational Center Hurricane Eye Retrieval (ARCHER) and SCBeM methods using events from 2014 to 2016 reveal that ARCHER has better location accuracy. However, when IR imagery alone is used, the ME of SCBeM is 54 km, and in the case of low latitudes and low vertical wind shear the ME is 45-47 km, which approaches that of ARCHER (49 km). Thus, the SCBeM method is simple, has good time resolution, performs well and is a better choice for those TC operational agencies in the case that the microwave images, ASCAT, or other observations are unavailable.
Keywordtropical cyclone center location geostationary satellite matching technique
DOI10.1007/s11707-019-0784-6
Indexed BySCI
Language英语
Funding ProjectKey Projects of the National Key RD Program[2018YFC1506300] ; National Basic Research Program of China[2015CB452806] ; Key Program for International S&T Cooperation Projects of China[2017YFE0107700] ; Natural Science Foundation of Shanghai[15ZR1449900] ; National Natural Science Foundation of China[41675116] ; National Natural Science Foundation of China[41575046] ; National Natural Science Foundation of China[41775065] ; National Natural Science Foundation of China[41405060]
WOS Research AreaGeology
WOS SubjectGeosciences, Multidisciplinary
WOS IDWOS:000492258400001
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/164851
Collection海洋环流与波动重点实验室
Corresponding AuthorLu, Xiaoqin
Affiliation1.China Meteorol Adm, Shanghai Typhoon Inst, Shanghai 200030, Peoples R China
2.Shanghai Ocean Univ, Ocean Dept, Shanghai 201306, Peoples R China
3.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao 266071, Shandong, Peoples R China
4.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Shandong, Peoples R China
Recommended Citation
GB/T 7714
Lu, Xiaoqin,Yu, Hui,Yang, Xiaoming,et al. A new technique for automatically locating the center of tropical cyclones with multi-band cloud imagery[J]. FRONTIERS OF EARTH SCIENCE,2019:12.
APA Lu, Xiaoqin,Yu, Hui,Yang, Xiaoming,Li, Xiaofeng,&Tang, Jie.(2019).A new technique for automatically locating the center of tropical cyclones with multi-band cloud imagery.FRONTIERS OF EARTH SCIENCE,12.
MLA Lu, Xiaoqin,et al."A new technique for automatically locating the center of tropical cyclones with multi-band cloud imagery".FRONTIERS OF EARTH SCIENCE (2019):12.
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