摘要
为了进一步研究气温的时间演变情况,笔者用非线性动力学方法,对广东省中山市1955—2017年日平均气温时间序列分析周期与混沌性质。结果表明,气温的功率谱分析为363天左右的年周期变化,为周期吸引子,主要是太阳直射点在南北移动导致。在滤去频率范围为0~0.005/d的年周期变化信息以后,功率谱呈连续谱;最大Lyapunov指数是正的,关联维数为10.1,表明高频气温变化部分具有混沌性。
The paper aims to study the temporal evolution of temperature.The author analyzed the periodicity and chaos properties of daily mean temperature time series in Zhongshan,Guangdong during 1955-2017 by using nonlinear dynamic method.The results showed that:the power spectrum of temperature was a periodic variation of about 363 days,which was a periodic attractor caused by the direct solar point moving from north to south;after filtering out the information of annual periodic variation in the frequency range of 0 to 0.005/d,the power spectrum was continuous;the maximum Lyapunov exponent was positive with the correlation dimension 10.1,indicating the variation of high frequency temperature was chaotic.
作者
林晓剑
Lin Xiaojian(Zhongshan Meteorological Bureau,Zhongshan Guangdong 528400)
出处
《中国农学通报》
2019年第12期95-99,共5页
Chinese Agricultural Science Bulletin
基金
国家自然科学基金(41271545)