期刊文献+

A new technique for automatically locating the center of tropical cyclones with multi-band cloud imagery 被引量:1

原文传递
导出
摘要 A 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.
出处 《Frontiers of Earth Science》 SCIE CAS CSCD 2019年第4期836-847,共12页 地球科学前沿(英文版)
基金 The CMA and JTWC best track archives were obtained from Typhoon Online website and NDBC website respectively.The real-time archives of ARCHER and ADT were downloaded from SSEC.WISC website.This study was supported by the Key Projects of the National Key R&D Program(No.2018YFC1506300) the National Basic Research Program of China(No.2015CB452806) the Key Program for International S&T Cooperation Projects of China(No.2017YFE0107700) the Natural Science Foundation of Shanghai(No.15ZR1449900) the National Natural Science Foundation of China(Nos.41675116,41575046,41775065,and 41405060).
  • 相关文献

参考文献5

二级参考文献47

  • 1雷小途,陈联寿.热带气旋风场模型构造及特征参数估算[J].地球物理学报,2005,48(1):25-31. 被引量:24
  • 2倪国强.多波段图像融合算法研究及其新发展(Ⅱ)[J].光电子技术与信息,2001,14(6):1-6. 被引量:55
  • 3王栋梁,梁旭东,端义宏.云迹风在热带气旋路径数值预报中的应用研究[J].气象学报,2005,63(3):351-358. 被引量:26
  • 4Serra J. Introducation to Mathematical Morphology. Computer Vision, Graphics and Image Processing, 1986, 35(1): 283-305.
  • 5Trout J D, Reneke J A. Implementation of a Morphological Image Processing Algorithm on an FPS T-20 Hypercube. In: Proc of the 20th Southeastern Symposium of the System Theory, Charlotte,NC, USA, 1988, 312-316.
  • 6Soille P. Morphological Image Analysis. Berlin, Germany: Springer Verlag, 1999.
  • 7Soille P, Talbot H. Image Structure Orientation Using Mathematical Morphology. In: Proe of the 14th International Conferenee on Pattern Recognition, Brisbane, Australia, 1998, II : 1467- 1469.
  • 8Soille P, Jones R. Recursive Implementation of Erosion and Dilations along Discrete Lines at Arbitrary Angles. IEEE Trans on Pattern Analysis and Machine Intelligence, 1996, 18(5): 562- 567.
  • 9Chen Lianshou,Luo Huibang,Duan Yihong,et al.An overview of tropical cyclone and tropical meteorology research progress.Adv Atmospheric Sci,2004,21:505-514
  • 10Wang Y Q,Wu C C.Current understanding of tropical cyclone structure and intensity changes-a review.Meteor Atmos Physics,2003

共引文献84

同被引文献5

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部