Tropical cyclone spiral band extraction and center locating by binary ant colony optimization
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 pape...
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| Veröffentlicht in: | Science China. Earth sciences 2012-02, Vol.55 (2), p.332-346 |
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| creator | Bai, QiuChan Wei, Kun Jing, ZhongLiang Li, YuanXiang Tuo, HongYa Liu, ChengGang |
| description | 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. |
| doi_str_mv | 10.1007/s11430-011-4334-7 |
| format | Article |
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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. 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Earth sciences</title><addtitle>Sci. China Earth Sci</addtitle><addtitle>SCIENCE CHINA Earth Sciences</addtitle><description>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.</description><subject>Algorithms</subject><subject>Ant colony optimization</subject><subject>Atmospheric models</subject><subject>Cyclones</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Eyes</subject><subject>Fittings</subject><subject>Mathematical models</subject><subject>Meteorology</subject><subject>Optimization algorithms</subject><subject>Research Paper</subject><subject>Spirals</subject><subject>Tropical cyclones</subject><subject>中心位置</subject><subject>中心定位</subject><subject>二进制</subject><subject>提取</subject><subject>曲线模型</subject><subject>热带气旋</subject><subject>蚁群优化算法</subject><subject>螺旋带</subject><issn>1674-7313</issn><issn>1869-1897</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkctKAzEUhgdRsGgfwF105WY0t8llKcUbFNzUpYRMmqkp02SaTMHx6c3QouBCs0lOzv-dc5K_KC4QvEEQ8tuEECWwhAiVlBBa8qNiggSTJRKSH-cz4_mSIHJaTFNaw7xIzmA-Kd4WMXTO6BaYwbTBW5A6F3NYa78E9qOP2vQueDCGxvreRtAGo3vnV6AeQO28jkPO9sCEzA8gdL3buE89UufFSaPbZKeH_ax4fbhfzJ7K-cvj8-xuXhoKeV_WkhBjMZcSC2Mw4xbS2lBeVVgaoRnlrDEEVVBCJClrhFjWvKmRJZUWrGrIWXG9r9vFsN3Z1KuNS8a2rfY27JJCnGFEK0HE_1KIKaNCMpmlV7-k67CLPj9EScSFzBPxLEJ7kYkhpWgb1UW3yX-SK6nRHbV3R2V31OiOGhm8Z1LW-pWNP4X_gi4Pjd6DX20z992JQiZhRTH5AibsnDM</recordid><startdate>20120201</startdate><enddate>20120201</enddate><creator>Bai, QiuChan</creator><creator>Wei, Kun</creator><creator>Jing, ZhongLiang</creator><creator>Li, YuanXiang</creator><creator>Tuo, HongYa</creator><creator>Liu, ChengGang</creator><general>SP Science China Press</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20120201</creationdate><title>Tropical cyclone spiral band extraction and center locating by binary ant colony optimization</title><author>Bai, QiuChan ; 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Earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bai, QiuChan</au><au>Wei, Kun</au><au>Jing, ZhongLiang</au><au>Li, YuanXiang</au><au>Tuo, HongYa</au><au>Liu, ChengGang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tropical cyclone spiral band extraction and center locating by binary ant colony optimization</atitle><jtitle>Science China. Earth sciences</jtitle><stitle>Sci. China Earth Sci</stitle><addtitle>SCIENCE CHINA Earth Sciences</addtitle><date>2012-02-01</date><risdate>2012</risdate><volume>55</volume><issue>2</issue><spage>332</spage><epage>346</epage><pages>332-346</pages><issn>1674-7313</issn><eissn>1869-1897</eissn><abstract>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.</abstract><cop>Heidelberg</cop><pub>SP Science China Press</pub><doi>10.1007/s11430-011-4334-7</doi><tpages>15</tpages></addata></record> |
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| subjects | Algorithms Ant colony optimization Atmospheric models Cyclones Earth and Environmental Science Earth Sciences Eyes Fittings Mathematical models Meteorology Optimization algorithms Research Paper Spirals Tropical cyclones 中心位置 中心定位 二进制 提取 曲线模型 热带气旋 蚁群优化算法 螺旋带 |
| title | Tropical cyclone spiral band extraction and center locating by binary ant colony optimization |
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