title: Detection of a sudden change of the field time series based on the Lorenz system.
abstract: We conducted an exploratory study of the detection of a sudden change of the field time series based on the numerical solution of the Lorenz system. First, the time when the Lorenz path jumped between the regions on the left and right of the equilibrium point of the Lorenz system was quantitatively marked and the sudden change time of the Lorenz system was obtained. Second, the numerical solution of the Lorenz system was regarded as a vector; thus, this solution could be considered as a vector time series. We transformed the vector time series into a time series using the vector inner product, considering the geometric and topological features of the Lorenz system path. Third, the sudden change of the resulting time series was detected using the sliding t-test method. Comparing the test results with the quantitatively marked time indicated that the method could detect every sudden change of the Lorenz path, thus the method is effective. Finally, we used the method to detect the sudden change of the pressure field time series and temperature field time series, and obtained good results for both series, which indicates that the method can apply to high-dimension vector time series. Mathematically, there is no essential difference between the field time series and vector time series; thus, we provide a new method for the detection of the sudden change of the field time series.
authors.affiliation: School of Mathematics and Computer Science Institute, Northwest University for Nationalities, Lanzhou, GanSu, China.|College of Atmospheric Sciences, Lanzhou University, Lanzhou, GanSu, China.
authors.forename: ChaoJiu
authors.identifier: http://orcid.org/0000-0003-3171-704X
authors.initials: C
authors.lastname: Da
authors.affiliation: School of Mathematics and Computer Science Institute, Northwest University for Nationalities, Lanzhou, GanSu, China.
authors.forename: Fang
authors.initials: F
authors.lastname: Li
authors.affiliation: College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, SiChuan, China.
authors.forename: BingLu
authors.initials: B
authors.lastname: Shen
authors.affiliation: Institute of Arid Meteorology of CMA, Lanzhou, GanSu, China.
authors.forename: PengCheng
authors.initials: P
authors.lastname: Yan
authors.affiliation: College of Science, Inner Mongolia University of Technology, Hohhot, Inner Mongolia, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Song
authors.affiliation: School of Mathematics and Computer Science Institute, Northwest University for Nationalities, Lanzhou, GanSu, China.
authors.forename: DeShan
authors.initials: D
authors.lastname: Ma
mesh_terms: D000413:Alaska; D000465:Algorithms; D009716:Numerical Analysis, Computer-Assisted; D013997:Time Factors