首页|On Multi-Timescale Variability of Temperature in China in Modulated Annual Cycle Reference Frame
On Multi-Timescale Variability of Temperature in China in Modulated Annual Cycle Reference Frame
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
万方数据
维普
The traditional anomaly （TA） reference frame and its corresponding anomaly for a given data span changes with the extension of data length. In this study, the modulated annual cycle （MAC）, instead of the widely used climatological mean annual cycle, is used as an alternative reference frame for computing climate anomalies to study the multi-timescale variability of surface air temperature （SAT） in China based on homogenized daily data from 1952 to 2004. The Ensemble Empirical Mode Decomposition （EEMD） method is used to separate daily SAT into a high frequency component, a MAC component, an interannual component, and a decadal-to-trend component. The results show that the EEMD method can reflect historical events reasonably well, indicating its adaptive and temporally local characteristics. It is shown that MAC is a temporally local reference frame and will not be altered over a particular time span by an exten-sion of data length, thereby making it easier for physical interpretation. In the MAC reference frame, the low frequency component is found more suitable for studying the interannual to longer timescale variability （ILV） than a 13-month window running mean, which does not exclude the annual cycle. It is also better than other traditional versions （annual or summer or winter mean） of ILV, which contains a portion of the annual cycle. The analysis reveals that the variability of the annual cycle could be as large as the magnitude of interannual variability. The possible physical causes of different timescale variability of SAT in China are further discussed.
modulated annual cyclethe Ensemble Empirical Mode Decompositionclimate anomalyclimate normalvariability of surface air temperature in China
钱诚、Zhaohua WU、符淙斌、周天军
展开 >
Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
Department of Meteorology ＆ Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida, USA
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
多时间尺度 年周期变化 参照系 过调制 中国 温度变化 气候异常 参考框架
国家重点基础研究发展规划(973计划)Laboratory for Climate Studies, China Meteorological Administration
万方数据
维普
