Analysis of Extreme High-Temperature Time Series Based on Empirical Mode Decomposition

In this paper, considering the nonlinear and non-stationary properties of extreme high-temperature time series, we introduce Empirical Mode Decomposition to analyze the extreme high-temperature time series from 1959 to 2012 in Fengxian district of Shanghai. The scale characteristics and oscillating mode characteristics were mainly investigated. The trend of extreme high-temperature also shows periodic variation from decreasing to increasing for the recent fifty years. Analyze the reconstructed modes with the wave pattern: It shows that variability are quite large from 1997 to 1999 and from 1977 to 1982, which shows extreme high-temperature rose and fell dramatically in these periods. The volatility from 2006 to 2008 is far more dramatic than the other times. And it is the most remarkable in the recent fifty years.