Summary
International Symposium on Nonlinear Theory and Its Applications
2022
Session Number:A2L-C
Session:
Number:A2L-C-03
Complexity Based Approach for El Ni?o Magnitude Forecasting Before the “Spring Predictability Barrier”
Jun Meng , Jingfang Fan , Josef Ludescher , Agarwal Ankit , Xiaosong Chen , Armin Bunde , J?rgen Kurths , Hans Joachim Schellnhuber,
pp.19-19
Publication Date:12/12/2022
Online ISSN:2188-5079
Summary:
We introduce a new method -- system sample entropy-- for calculating the complexity of a complex system composed of several time series. We use this method to quantify the system complexity of the Nino 3.4 region and forecast the El nino magnitude one year ahead.