摘要
采用SSA方法分析我国东南地区地面气温场,发现明显存在周期为35─40天的季节内低频振荡。计算还表明,SSA不仅能有效识别振荡分量,同样也是一种很好的时间滤波方法。
The Singular Spectrum Analysis (SSA) method is applied to the surface temperature field of southern China, in which a major low-frequency oscillation with period of 3 5 - 4 0 days is found . Calculation also identifies that SSA could not only recognize the oscillation component , but also an adaptive time filter.
出处
《气象》
CSCD
北大核心
1997年第11期7-10,共4页
Meteorological Monthly
关键词
奇异谱分析
低频振荡
地面气温
振荡周期
: singular spectrum analysis low-frequency oscillation surface temperature