Research Article
Extraction of the 1961—2020 Long Time Scale Climate Memory Signal in Qingdao
@INPROCEEDINGS{10.1007/978-3-031-50571-3_2, author={Siyu Liu and Feng Yong and Yingjie Wu and Haoran An}, title={Extraction of the 1961---2020 Long Time Scale Climate Memory Signal in Qingdao}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2024}, month={2}, keywords={Fractional Operators Long-term Memory Signals Weather and Climate}, doi={10.1007/978-3-031-50571-3_2} }- Siyu Liu
Feng Yong
Yingjie Wu
Haoran An
Year: 2024
Extraction of the 1961—2020 Long Time Scale Climate Memory Signal in Qingdao
ICMTEL
Springer
DOI: 10.1007/978-3-031-50571-3_2
Abstract
Based on the average temperature series during the past 60 years, the climate memory signals on different scales in Qingdao are extracted, to which autocorrelation function and fractional operator method analyses are then applied to fulfill the extraction. The result shows that: the climatic signals of long time scale have certain memory. The fractional integral operator(({}{0}{I}{t}^{q}))is used to extract the climate memory signals in the temperature series. This method is expected to play a role in the prediction of the climate in Qingdao.
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