Quasi-cycles in Chinese precipitation time series and in their potential influencing factors

摘要: Abstract Significant quasi-cycles in precipitation time series of 132 climate stations spread over China from 1951 to 2002 have been detected by applying Autocorrelation Spectral Analysis (ASA). By the same method, significant also identified potential influencing factors: Southern Oscillation Index (SOI), Sea Surface Temperature (SST) and Level Pressure (SLP). Similarities between some spectra spectrum a driving force detected; e.g. several Yangtze River's middle reaches show 3–4-year cycles which are similar SOI SST signals. These further investigated low-pass filtering with Savitzky–Golay filter means correlation analysis. It is proved that SSTs Bay Bengal relatively stable anti-phase. However, no link these signals River basin can be detected. Subsequent analyses 850 hPa winds lead outcome certain wind patterns could either suppress or teleconnection