The ESMD Method for Climate Data Analysis
Abstract: The new ESMD method has been reported by the Science Net and the China Science Daily. It is the new development of the well-known Hilbert-Huang transform and can be used effectively in the science researches and engineering applications associated with data analysis from atmospheric and oceanic sciences, informatics and so on. The ESMD method has three superiorities in climate data analysis: 1) it is good at finding the global changing trend. It can not only extract the annual changing trend from the observation sequence of a few years, but also draw out the climate changing trend from that of hundreds of years which is helpful for exploring the problem of global warming; 2) it is good at abnormal diagnosis which is helpful for exploring the problem of climatic anomaly due to the ability of finding the abnormal time and frequency from the decomposed modes; 3) it is good at time-frequency analysis and energy variation analysis. With the abandon of Hilbert transform which has many defects, the data-based direct interpolating approach is developed to compute the total energy and instantaneous frequencies at any time scales. It follows from the above features that the ESMD method has a good application prospect in the research of climate change.
文章引用: 王金良 , 李宗军 (2014) 可用于气候数据分析的ESMD方法。 气候变化研究快报， 3， 1-5. doi: 10.12677/CCRL.2014.31001
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