Data concerning statistical relation between obliquity and Dansgaard–Oeschger events
Jia Deng,
Zhaohua Wu,
Min Zhang,
Norden E. Huang,
Shizhu Wang,
Fangli Qiao
Affiliations
Jia Deng
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, PR China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, PR China; Key Laboratory of Data Analysis and Applications, Ministry of Natural Resources, Qingdao 266061, PR China
Zhaohua Wu
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, PR China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, PR China; Department of Earth, Ocean and Atmospheric Science & Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee FL 32306, USA
Min Zhang
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, PR China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, PR China; Key Laboratory of Data Analysis and Applications, Ministry of Natural Resources, Qingdao 266061, PR China
Norden E. Huang
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, PR China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, PR China; Key Laboratory of Data Analysis and Applications, Ministry of Natural Resources, Qingdao 266061, PR China
Shizhu Wang
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, PR China; Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao 266061, PR China
Fangli Qiao
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, PR China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, PR China; Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao 266061, PR China; Corresponding author. Room 503, Office building, No. 6 Xianxialing Road, Qingdao, 266061, PR China.
Data presented are related to the research article entitled “Using Holo-Hilbert spectral analysis to quantify the modulation of Dansgaard-Oeschger events by obliquity” (J. Deng et al., 2018). The datasets in Deng et al. (2018) are analyzed on the foundation of ensemble empirical mode decomposition (EEMD) (Z.H. Wu and N.E. Huang, 2009), and reveal more occurrences of Dansgaard-Oeschger (DO) events in the decreasing phase of obliquity. Here, we report the number of significant high Shannon entropy (SE) (C.E. Shannon and W. Weaver, 1949) of 95% significance level of DO events in the increasing and decreasing phases of obliquity, respectively. First, the proxy time series are filtered by EEMD to obtain DO events. Then, the time-varying SE of DO modes are calculated on the basis of principle of histogram. The 95% significance level is evaluated through surrogate data (T. Schreiber and A. Schmitz, 1996). Finally, a comparison between the numbers of SE values that are larger than 95% significance level in the increasing and decreasing phases of obliquity, respectively, is reported. Keywords: Dansgaard–Oeschger events, Obliquity, Time-varying Shannon entropy, Surrogate data
