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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Liu, S., Yong, F., Wu, Y., An, H. (2024). Extraction of the 1961—2020 Long Time Scale Climate Memory Signal in Qingdao. In: Wang, B., Hu, Z., Jiang, X., Zhang, YD. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 532. Springer, Cham. https://doi.org/10.1007/978-3-031-50571-3_2
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