Articles | Volume 22, issue 10
Technical note
02 Oct 2018
Technical note |  | 02 Oct 2018

Technical note: An improved Grassberger–Procaccia algorithm for analysis of climate system complexity

Chongli Di, Tiejun Wang, Xiaohua Yang, and Siliang Li

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Cited articles

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Chen, F., Yuan, Y. J., Wei, W. S., Fan, Z. A., Yu, S. L., Zhang, T. W., Zhang, R. B., Shang, H. M., and Qin, L.: Reconstructed precipitation for the north-central China over the past 380 years and its linkages to East Asian summer monsoon variability, Quat. Int., 283, 36–45,, 2013. 
Short summary
The original Grassberger–Procaccia algorithm for complex analysis was modified by incorporating the normal-based K-means clustering technique and the RANSAC algorithm. The calculation accuracy of the proposed method was shown to outperform traditional algorithms. The proposed algorithm was used to diagnose climate system complexity in the Hai He basin. The spatial patterns of the complexity of precipitation and air temperature reflected the influence of the dominant climate system.