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Tropical cyclone spiral band extraction and center locating by binary ant colony optimization 被引量:2

Tropical cyclone spiral band extraction and center locating by binary ant colony optimization
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摘要 Tropical cyclone (TC) center locating is crucial because it lays the foundation for TC forecasting. Locating TC centers, usually by manual means, continues to present many difficulties. Not least is the problem of inconsistency between TC center locations forecast by different agencies. In this paper, an objective TC center locating scheme is developed, using infrared satellite images. We introduce a pattern-matching concept, which we illustrate using a spiral curve model. A spiral band model, based on a spiral band region, is designed to extract the spiral cloud-rain bands (SCRBs) of TCs. We propose corresponding criteria on which to score the fitting value of a candidate template defined by our models. In the proposed scheme, TC location is an optimization problem, solved by an ant colony optimization algorithm. In numerical experiments, a minimal mean distance error of 17.9 km is obtained when the scheme is tested against best-track data. The scheme is suitable for TCs with distinct SCRBs or symmetrical central dense overcast, and for TCs both with and without clear eyes. Tropical cyclone (TC) center locating is crucial because it lays the foundation for TC forecasting. Locating TC centers, usually by manual means, continues to present many difficulties. Not least is the problem of inconsistency between TC center locations forecast by different agencies. In this paper, an objective TC center locating scheme is developed, using infrared satellite images. We introduce a pattern-matching concept, which we illustrate using a spiral curve model. A spiral band model, based on a spiral band region, is designed to extract the spiral cloud-rain bands (SCRBs) of TCs. We propose corresponding criteria on which to score the fitting value of a candidate template defined by our models. In the proposed scheme, TC location is an optimization problem, solved by an ant colony optimization algorithm. In numerical experiments, a minimal mean distance error of 17.9 km is obtained when the scheme is tested against best-track data. The scheme is suitable for TCs with distinct SCRBs or symmetrical central dense overcast, and for TCs both with and without clear eyes.
出处 《Science China Earth Sciences》 SCIE EI CAS 2012年第2期332-346,共15页 中国科学(地球科学英文版)
基金 supported by National Natural Science Foundation of China (Grant Nos. 60775022 and 60805005) Shanghai Municipal Natural Science Foundation (Grant Nos.09ZR1413700 and No.08ZR1410700) Ph.D. Programs Foundation of Ministry of Education of China (Grant No. 200802481119)
关键词 weather forecast tropical cyclones center locating spiral band model ant colony optimization 蚁群优化算法 中心定位 热带气旋 螺旋带 提取 二进制 曲线模型 中心位置
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