北印度洋热带气旋路径分析

M. Paliwal, A. Patwardhan, N. L. Sarda
{"title":"北印度洋热带气旋路径分析","authors":"M. Paliwal, A. Patwardhan, N. L. Sarda","doi":"10.1145/1999320.1999338","DOIUrl":null,"url":null,"abstract":"Cyclones are regarded as one of the most dangerous meteorological phenomena of the tropical region. The probability of landfall of a tropical cyclone depends on its movement (trajectory). Analysis of trajectories of tropical cyclones could be useful for identifying potentially predictable characteristics. In this study, tropical cyclone tracks over the North Indian Ocean basin have been analyzed and grouped into clusters based on their spatial characteristics. For the identified clusters we have also examined characteristics such as life span, maximum sustained wind speed, landfall, seasonality. The resultant clusters are forming clear groupings on some of these characteristics. The cyclones with higher maximum wind speed and longest life span are grouped in to one cluster. Another cluster includes short duration cyclonic events that are mostly deep depressions and significant for rainfall over Eastern and Central India. The clustering approach is likely to prove useful for analysis of events of significance with regard to impacts.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"130 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analyzing tropical cyclone tracks of North Indian Ocean\",\"authors\":\"M. Paliwal, A. Patwardhan, N. L. Sarda\",\"doi\":\"10.1145/1999320.1999338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cyclones are regarded as one of the most dangerous meteorological phenomena of the tropical region. The probability of landfall of a tropical cyclone depends on its movement (trajectory). Analysis of trajectories of tropical cyclones could be useful for identifying potentially predictable characteristics. In this study, tropical cyclone tracks over the North Indian Ocean basin have been analyzed and grouped into clusters based on their spatial characteristics. For the identified clusters we have also examined characteristics such as life span, maximum sustained wind speed, landfall, seasonality. The resultant clusters are forming clear groupings on some of these characteristics. The cyclones with higher maximum wind speed and longest life span are grouped in to one cluster. Another cluster includes short duration cyclonic events that are mostly deep depressions and significant for rainfall over Eastern and Central India. The clustering approach is likely to prove useful for analysis of events of significance with regard to impacts.\",\"PeriodicalId\":400763,\"journal\":{\"name\":\"International Conference and Exhibition on Computing for Geospatial Research & Application\",\"volume\":\"130 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference and Exhibition on Computing for Geospatial Research & Application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1999320.1999338\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference and Exhibition on Computing for Geospatial Research & Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1999320.1999338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

气旋被认为是热带地区最危险的气象现象之一。热带气旋登陆的概率取决于它的运动(轨迹)。对热带气旋的轨迹进行分析对于确定可能可预测的特征是有用的。本研究对北印度洋盆地的热带气旋路径进行了分析,并根据其空间特征将其分组。对于已确定的群集,我们还研究了寿命、最大持续风速、登陆、季节性等特征。由此产生的集群正在对其中一些特征形成明确的分组。将最大风速较大、寿命最长的气旋归为一组。另一组包括短时间的气旋事件,这些事件主要是深度洼地,对印度东部和中部的降雨有重要影响。聚类方法很可能证明对分析影响方面的重要事件是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Analyzing tropical cyclone tracks of North Indian Ocean
Cyclones are regarded as one of the most dangerous meteorological phenomena of the tropical region. The probability of landfall of a tropical cyclone depends on its movement (trajectory). Analysis of trajectories of tropical cyclones could be useful for identifying potentially predictable characteristics. In this study, tropical cyclone tracks over the North Indian Ocean basin have been analyzed and grouped into clusters based on their spatial characteristics. For the identified clusters we have also examined characteristics such as life span, maximum sustained wind speed, landfall, seasonality. The resultant clusters are forming clear groupings on some of these characteristics. The cyclones with higher maximum wind speed and longest life span are grouped in to one cluster. Another cluster includes short duration cyclonic events that are mostly deep depressions and significant for rainfall over Eastern and Central India. The clustering approach is likely to prove useful for analysis of events of significance with regard to impacts.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Efficient Online Sharing of Geospatial Big Data Using NoSQL XML Databases Science in times of crisis: delivering situational awareness to emergency managers and the public when disaster strikes MIMIC: Mobile mapping point density calculator Airborne geo-location for search and rescue applications Performance comparisons of spatial data processing techniques for a large scale mobile phone dataset
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1