Advanced Search

Volume 2 Issue 3

Jul.  1985

Article Contents

A NEW TYPE OF TIME-SERIES-FORECASTING METHOD


doi: 10.1007/BF02677255

  • By use of Chebyshev polynomial, a new method is proposed for predicting time series. It is found to be of greater accuracy, easy and convenient for use with operation run either by computer or by hand. Predicting formulae are shown with estimates of the error. In addition, calculated cases are given to show the fidelity with this method.
  • [1] Zhang Banglin, Liu Jie, Sun Zhaobo, 1993: A New Multidimensional Time Series Forecasting Method Based on the EOF Iteration Scheme, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 243-247.  doi: 10.1007/BF02919147
    [2] WANG Geli, YANG Peicai, ZHOU Xiuji, 2013: Nonstationary Time Series Prediction by Incorporating External Forces, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1601-1607.  doi: 10.1007/s00376-013-2134-z
    [3] GUO Yanjun, DING Yihui, 2011: Impacts of Reference Time Series on the Homogenization of Radiosonde Temperature, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1011-1022.  doi: 10.1007/s00376-010-9211-3
    [4] Yan Shaojin, Peng Yongqing, Guo guang, 1995: Neuroid BP-type Model Applied to the Study of Monthly Rainfall Forecasting, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 335-342.  doi: 10.1007/BF02656982
    [5] S.D.Dahale, S.V.Singh, 1993: Modelling of Indian Monsoon Rainfall Series by Univariate Box-Jenkins Type of Models, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 211-220.  doi: 10.1007/BF02919143
    [6] Ding Jincai, Dai Jianhua, Chen Yamin, Hu Fuquan, Tang Xinzhang, 1996: Helicity as a Method for Forecasting Severe Weather Events, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 533-538.  doi: 10.1007/BF03342043
    [7] YE Liming, YANG Guixia, Eric VAN RANST, TANG Huajun, 2013: Time-Series Modeling and Prediction of Global Monthly Absolute Temperature for Environmental Decision Making, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 382-396.  doi: 10.1007/s00376-012-1252-3
    [8] Athanassios A. ARGIRIOU, Zhen LI, Vasileios ARMAOS, Anna MAMARA, Yingling SHI, Zhongwei YAN, 2023: Homogenised Monthly and Daily Temperature and Precipitation Time Series in China and Greece since 1960, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1326-1336.  doi: 10.1007/s00376-022-2246-4
    [9] Yan Shaojin, Peng Yongqing, Wang Jianzhong, 1991: Determination of Kolmogorov Entropy of Chaotic Attractor Included in One-Dimensional Time Series of Meteorological Data, ADVANCES IN ATMOSPHERIC SCIENCES, 8, 243-250.  doi: 10.1007/BF02658098
    [10] Peng Yongqing, Zhu Yufeng, Yan Shaojin, 1994: Preliminary Study of Reconstruction of a Dynamic System Using an One-Dimensional Time Series, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 277-284.  doi: 10.1007/BF02658146
    [11] A. Mary Selvam, J. S. Pethkar, M. K. Kulkarni, 1995: Some Unique Characteristics of Atmospheric Interannual Variability in Rainfall Time Series over India and the United Kingdom, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 377-385.  doi: 10.1007/BF02656987
    [12] WANG Yinghong, WANG Yuesi, LING Hong, 2010: A New Carrier Gas Type for Accurate Measurement of N$_{2}$O by GC-ECD, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1322-1330.  doi: 10.1007/s00376-010-9212-2
    [13] Yunfei Fu, Yang Liu, Peng Zhang, Songyan Gu, Lin Chen, Sun Nan, 2024: A New Algorithm of Rain Type Classification for GPM Dual-Frequency Precipitation Radar in Summer Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3384-7
    [14] Daosheng XU, Jeremy Cheuk-Hin LEUNG, Banglin ZHANG, 2023: A Time Neighborhood Method for the Verification of Landfalling Typhoon Track Forecast, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 273-284.  doi: 10.1007/s00376-022-1398-6
    [15] ZHANG Chengwei, YU Fan, WANG Chenxi, YANG Jianyu, 2011: Three-dimensional Extension of the Unit-Feature Spatial Classification Method for Cloud Type, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 601-611.  doi: 10.1007/s00376-010-9056-9
    [16] HU Banghui, YANG Xiuqun, TAN Yanke, WANG Yongqing, FAN Yong, 2010: A New Method for Calculating the Wind Speed Distribution of a Moving Tropical Cyclone, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 69-79.  doi: 10.1007/s00376-009-7209-5
    [17] Xiaojuan SUN, Siyan LI, Julian X. L WANG, Panxing WANG, Dong GUO, 2022: A New Method of Significance Testing for Correlation-Coefficient Fields and Its Application, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 529-535.  doi: 10.1007/s00376-021-1196-6
    [18] LIAO Jie, WANG Bin, LI Qingxiang, 2014: A New Method for Quality Control of Chinese Rawinsonde Wind Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1293-1304.  doi: 10.1007/s00376-014-4030-6
    [19] Congwen ZHU, Boqi LIU, Kang XU, Ning JIANG, Kai LIU, 2021: Diversity of the Coupling Wheels in the East Asian Summer Monsoon on the Interannual Time Scale: Challenge of Summer Rainfall Forecasting in China, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 546-554.  doi: 10.1007/s00376-020-0199-z
    [20] JIE Weihua, WU Tongwen, WANG Jun, LI Weijing, LIU Xiangwen, 2014: Improvement of 6-15 Day Precipitation Forecasts Using a Time-Lagged Ensemble Method, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 293-304.  doi: 10.1007/s00376-013-3037-8

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 July 1985
Manuscript revised: 10 July 1985
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

A NEW TYPE OF TIME-SERIES-FORECASTING METHOD

  • 1. InstituteofAtmosphericPhysics,AcademiaSinica,Beijing

Abstract: By use of Chebyshev polynomial, a new method is proposed for predicting time series. It is found to be of greater accuracy, easy and convenient for use with operation run either by computer or by hand. Predicting formulae are shown with estimates of the error. In addition, calculated cases are given to show the fidelity with this method.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return