Projection of Sea Surface Temperature Based on Empirical Mode Decomposition and Its Application in Typhoon Number Forecast

被引:1
|
作者
Huang, Wen-Cheng [1 ]
Lee, Jung-Chen [1 ]
机构
[1] Natl Taiwan Ocean Univ, Dept Harbor & River Engn, Keelung, Taiwan
来源
关键词
Empirical mode decomposition; Sea surface temperature; Number of typhoons; Non-stationary series; Data; TAIWAN;
D O I
10.51400/2709-6998.2693
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The primary objective of this paper is to demonstrate the applicability of empirical mode decomposition (EMD) in projecting non-stationary daily sea surface temperature (SST) series, and the other is to apply the projected series of SST to estimate the number of typhoons. The study focuses on an area ranging from 5 degrees N similar to 25 degrees N and 110 degrees E, collecting daily sea temperature data and typhoons records within this region. The findings conclusively indicate that the EMDbased data generation method proposed in this paper can effectively addresses the limitations of previous hydrological models in generating non-stationary series, signifying a significant advancement in hydrological time series modeling for data generation. Furthermore, the study demonstrates the feasibility of using a combination of EMD synthesis and statistical regression analysis to assess typhoon frequency.
引用
下载
收藏
页码:157 / 172
页数:17
相关论文
共 50 条
  • [1] Effective forecast of Northeast Pacific sea surface temperature based on a complementary ensemble empirical mode decomposition–support vector machine method
    LI Qi-Jie
    ZHAO Ying
    LIAO Hong-Lin
    LI Jia-Kang
    Atmospheric and Oceanic Science Letters, 2017, 10 (03) : 261 - 267
  • [2] Sensitivity of Typhoon Forecast to Prescribed Sea Surface Temperature Data
    Park, Jinyoung
    Cho, Woojin
    Cha, Dong-Hyun
    Won, Seong-Hee
    Lee, Jung-Rim
    ATMOSPHERE, 2023, 14 (01)
  • [3] Empirical mode decomposition and its application
    Xu, Xiao-Gang
    Xu, Guan-Lei
    Wang, Xiao-Tong
    Qin, Xu-Jia
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2009, 37 (03): : 581 - 585
  • [4] Empirical mode decomposition and its application
    Yu, DJ
    Ren, WX
    PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON STRUCTURAL ENGINEERING FOR YOUNG EXPERTS, VOLS 1 AND 2, 2004, : 396 - 401
  • [5] Empirical Mode Decomposition on the sphere: application to the spatial scales of surface temperature variations
    Fauchereau, N.
    Pegram, G. G. S.
    Sinclair, S.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2008, 12 (03) : 933 - 941
  • [6] BANDWIDTH EMPIRICAL MODE DECOMPOSITION AND ITS APPLICATION
    Xie, Qiwei
    Xuan, Bo
    Peng, Silong
    Li, Jianping
    Xu, Weixuan
    Han, Hua
    INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2008, 6 (06) : 777 - 798
  • [7] Chaotic Oscillator Detection Based on Empirical Mode Decomposition and Its Application
    Wang, Fengli
    Zhao, Deyou
    2009 INTERNATIONAL WORKSHOP ON CHAOS-FRACTALS THEORIES AND APPLICATIONS (IWCFTA 2009), 2009, : 318 - +
  • [8] Potential Field Separation Based on the Empirical Mode Decomposition and Its Application
    Zeng Qinqin
    Liu Tianyou
    Zeng Qinqin
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 4819 - 4822
  • [9] Sea Surface Temperature Prediction Method Based on Empirical Mode Decomposition-Gated Recurrent Unit Model
    He Qi
    Hu Zeyu
    Xu Huifang
    Song Wei
    Du YanLin
    LASER & OPTOELECTRONICS PROGRESS, 2021, 58 (24)
  • [10] Traffic forecast based on empirical mode decomposition and RBF neural network
    Jiang, Shibao
    Bai, Chuanfeng
    Du, Cuifeng
    ADVANCES IN MECHATRONICS, AUTOMATION AND APPLIED INFORMATION TECHNOLOGIES, PTS 1 AND 2, 2014, 846-847 : 1270 - 1273