Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review, editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Full name
E-mail
Phone number
Title
Message
Verification Code
LI Yanchu, XU Dewei, RUAN Hailin. Enhancing tidal prediction precision based on the chaos theory[J]. Haiyang Xuebao, 2012, 34(1): 39-45.
Citation: LI Yanchu, XU Dewei, RUAN Hailin. Enhancing tidal prediction precision based on the chaos theory[J]. Haiyang Xuebao, 2012, 34(1): 39-45.

Enhancing tidal prediction precision based on the chaos theory

  • Received Date: 2010-08-17
  • Rev Recd Date: 2011-05-17
  • To improve the tidal prediction accuracy, the error correction of a regional tidal model is carried out using a local model approach based on chaos theory where sufficient tidal measurement data were available. As the examples, for one month (December-2007), the local model correction can remove as much as 74.7% of root mean square error (RMSE) at Chongwu measurement station and 60.5% at Xiamen Station for the prediction horizon T=2 h, and remove around 50% RMSE at above two stations for the prediction horizon T=24 h.
  • loading
  • 裴文斌,牛桂芝,董海军. 余水位及潮汐差分方法[J]. 水道港口, 2007,28(6):439-443.
    李启华,吉海鹏,张高. 基于神经网络的港口潮汐预报研究[J]. 广州航海高等专科学校学报,2007,15(1):1-4.
    QIAN Chengchun,SHEN Yujiang. Distribution of 9 principal tidal constituents and tide prediction for the East China Sea[J]. China Ocenan Engineering,2000,14(4):541-548.
    FRISON T W,ABARBANEL H D I,EARLE M D,et al. Chaos and predictability in ocean levels[J]. J of Geophys Res,1999,104(C4):7935-7951.
    FRISON T W,EARLE M D,ABANEL H D I,et al. Interstation prediction of ocean water levels using methods of nonlinear dynamics[J]. J of Geophys Res,1999,104(C6):13653-13666.
    王建华,于红兵,宋运法. 人工神经网络在潮汐数值预报中的应用[J].海洋预报,2007,2(2):47-51.
    胡继洋,李启华,王宇浩. 基于神经网络的潮汐预报方法初探[J].海洋测绘,2005,25(6):110-114.
    EGBERT G,BENNETT A,FOREMAN M. TOPEX/Poseidon tides estimated using a global inverse model[J]. J of Geophys Res,1994,99(C12):24821-24852.
    方国洪,郑文振,陈宗镛,等. 潮汐和潮流的分析和预报[M]. 北京:北京出版社,1986.
    PACKARD N H,CRUTCHFIELD J P,FARMER J D,et al. Geometry from a time series[J]. Phys Rev Lett,1980,45(3):712-716.
    TAKENS F. Detecting strange attractors in turbulence[J]. Lecture Notes in Mathematics: Dynamical Systems and Turbulence,1981,898(2) :366-381.
    王东生,曹磊. 混沌、分形及其应用[M]. 合肥:中国科学技术大学出版社,1995.
    陈铿,韩伯棠,混沌时间序列分析中的相空间重构技术综述[J]. 计算机科学,2005,32(4):67-70.
    KENNEL M B,BROWN R,ABARBANEL H D I. Determining embedding dimension for phasespace reconstruction using a geometrical construction [J]. Phy Rev A,1992,45:3403-3411.
    ROSENSTEIN M T,COLLINS J J,De LUCA C J. A practical method for calculating largest Lyapunov exponents from small data sets[J].Physical D,1993,65:117-134.
    WOLF A,SWIFT J B,SWINNEY H L,et al.Determining Lyapunov exponents from a time series[J]. Physica D,1985,16:285-317.
    陈南祥,张海丰,李松海.基于混沌时间序列的地下水位多步预测模型[J].地球科学与环境学报,2007,29(1):66-69.
    丁涛,周惠成.混沌时间序列局域预测方法[J].系统工程与电子技术,2004,26(3): 338-400.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views (1481) PDF downloads(1550) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return