基于移动对象的飓风全时域轨迹模型
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摘要
根据飓风运动轨迹的特点,提出一种基于动态属性的飓风全时域轨迹模型,设计轨迹数据阈值估计更新策略。将飓风运动轨迹组织成一系列时空连续的运动片段,在符合总体精度要求的前提下,实现数据压缩并支持全时域位置查询。基于实际飓风数据的实例研究证明,该模型能够较为完整和精确地描述飓风运动过程,总体误差符合飓风预测的国际标准,模型的数据量较原始数据可减少24.71%,并支持飓风过去时刻和短暂未来位置的状态信息查询。
Considering the characteristics of hurricane trajectories, a full time domain model of hurricane trajectory(FDMHT) based on dynamic attributes, along with its update strategy for tracking data, is proposed. By organizing a hurricane trajectory into a series of continuous spatio-temporal motion segmentations with acceptable trajectory accuracy, FDMHT can achieve effective data compression and support location queries within a hurricane's full time domain. Experimental results demonstrate that FDMHT can not only represent the movements of hurricanes completely and accurately, with overall error meeting with international prediction standards, but also reduce the volume of trajectory data by 24.71%. Moreover, based on FDMHT, it is convenient to query the position of a hurricane at any time in its life span.
Considering the characteristics of hurricane trajectories, a full time domain model of hurricane trajectory(FDMHT) based on dynamic attributes, along with its update strategy for tracking data, is proposed. By organizing a hurricane trajectory into a series of continuous spatio-temporal motion segmentations with acceptable trajectory accuracy, FDMHT can achieve effective data compression and support location queries within a hurricane's full time domain. Experimental results demonstrate that FDMHT can not only represent the movements of hurricanes completely and accurately, with overall error meeting with international prediction standards, but also reduce the volume of trajectory data by 24.71%. Moreover, based on FDMHT, it is convenient to query the position of a hurricane at any time in its life span.
引文
[1]国家气候中心.全国气候影响评价2009.北京:气象出版社,2010
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[5]Erwig M,Güting R H,Schneider M,et al.Abstract and discrete modeling of spatio-temporal data types//Proceedings of the 6th ACM International Symposium on Advances in Geographic Information Systems.Washington DC,1998:131–136
[6]Parent C,Spaccapietra S,Zimányi E.Spatio-temporal conceptual models:data structures+space+time//Proceedings of the 7th ACM International Symposium on Advances in Geographic Information Systems.Kansas City,Missouri:ACM,1999:26–33
[7]Forlizzi L,Güting R H,Nardelli E,et al.A data model and data structures for moving objects databases//Proceedings of the ACM SIGMOD.Dallas,2000:319?330
[8]Jin P,Yue L H,Gong Y C.Design and implementation of a unified spatio-temporal data model//Advances in Spatio-Temporal Analysis.London:Taylor&Francis,2007:67?76
[9]Wolfson O,Sistla A P,Chamberlain S,et al.Updating and querying databases that track mobile units.Mobile Data Management and Applications,1999,7(3):257?387
[10]Gowrisankar H,Nittel S.Reducing uncertainty in location prediction of moving objects in road networks//2nd Int Conference on Geographic Information Science(GIScience 2002).Boulder,2002:228?242
[11]Ding Z,Zhou X.Location update strategies for network-constrained moving objects//Database Systems for Advanced Applications.Berlin:Springer,2008:644–652
[12]Ding Z,Guo L,Meng X.Adaptive location update mechanism for network-constrained moving objects in changeful traffic conditions//Mobile Data Management:Systems,Services and Middleware,2009.Taipei,2009:417–423
[13]唐家翔.西北太平洋台风移动的气候变化及其与大尺度引导气流的关系[D].南京:南京信息工程大学,2011
[14]许映龙,张玲,高拴柱.我国台风预报业务的现状及思考.气象,2010,36(7):43–49
[15]汤杰,陈国民,余晖.2010年西北太平洋台风预报精度评定及分析.气象,2011,37(10):1320–1328
[16]Franklin J L.2009 National Hurricane Center forecast verification report[R/OL].(2010–05–14)[2014–06].http://www.nhc.noaa.gov/verification/pdfs/Verificatio n_2009.pdf
[17]Elsner J B,Jagger T H.Prediction models for annual U.S.hurricane counts.Journal of Climate,2006,19(12):2935–2952
[18]Cao H,Wolfson O,Trajcevski G.Spatio-temporal data reduction with deterministic error bounds.The International Journal on Very Large Data Bases,2006,15(3):211–228
[2]中国气象局上海台风研究制作所.2005年热带气旋年鉴[EB/OL].(2007?08)[2014?06].http://data.typh oon.gov.cn/history/2005_cd/tf2005/index2005.htm
[3]Sistla A P,Wolfson O,Chamberlain S,et al.Modeling and querying moving objects//2013 IEEE 29th International Conference on Data Engineering(ICDE).Birmingham:IEEE Computer Society,1997:422–432
[4]Güting R H,B?hlen M H,Erwig M,et al.A foundation for representing and querying moving objects.ACM Transactions on Database Systems(TODS),2000,25(1):1–42
[5]Erwig M,Güting R H,Schneider M,et al.Abstract and discrete modeling of spatio-temporal data types//Proceedings of the 6th ACM International Symposium on Advances in Geographic Information Systems.Washington DC,1998:131–136
[6]Parent C,Spaccapietra S,Zimányi E.Spatio-temporal conceptual models:data structures+space+time//Proceedings of the 7th ACM International Symposium on Advances in Geographic Information Systems.Kansas City,Missouri:ACM,1999:26–33
[7]Forlizzi L,Güting R H,Nardelli E,et al.A data model and data structures for moving objects databases//Proceedings of the ACM SIGMOD.Dallas,2000:319?330
[8]Jin P,Yue L H,Gong Y C.Design and implementation of a unified spatio-temporal data model//Advances in Spatio-Temporal Analysis.London:Taylor&Francis,2007:67?76
[9]Wolfson O,Sistla A P,Chamberlain S,et al.Updating and querying databases that track mobile units.Mobile Data Management and Applications,1999,7(3):257?387
[10]Gowrisankar H,Nittel S.Reducing uncertainty in location prediction of moving objects in road networks//2nd Int Conference on Geographic Information Science(GIScience 2002).Boulder,2002:228?242
[11]Ding Z,Zhou X.Location update strategies for network-constrained moving objects//Database Systems for Advanced Applications.Berlin:Springer,2008:644–652
[12]Ding Z,Guo L,Meng X.Adaptive location update mechanism for network-constrained moving objects in changeful traffic conditions//Mobile Data Management:Systems,Services and Middleware,2009.Taipei,2009:417–423
[13]唐家翔.西北太平洋台风移动的气候变化及其与大尺度引导气流的关系[D].南京:南京信息工程大学,2011
[14]许映龙,张玲,高拴柱.我国台风预报业务的现状及思考.气象,2010,36(7):43–49
[15]汤杰,陈国民,余晖.2010年西北太平洋台风预报精度评定及分析.气象,2011,37(10):1320–1328
[16]Franklin J L.2009 National Hurricane Center forecast verification report[R/OL].(2010–05–14)[2014–06].http://www.nhc.noaa.gov/verification/pdfs/Verificatio n_2009.pdf
[17]Elsner J B,Jagger T H.Prediction models for annual U.S.hurricane counts.Journal of Climate,2006,19(12):2935–2952
[18]Cao H,Wolfson O,Trajcevski G.Spatio-temporal data reduction with deterministic error bounds.The International Journal on Very Large Data Bases,2006,15(3):211–228