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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (06 Sep 2018) by Dimitri Solomatine
AR by Chongli Di on behalf of the Authors (09 Sep 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Sep 2018) by Dimitri Solomatine
RR by Anonymous Referee #1 (19 Sep 2018)
RR by Anonymous Referee #2 (20 Sep 2018)
ED: Publish as is (20 Sep 2018) by Dimitri Solomatine
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.