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Analysis of Thermocline Influencing Factors Based on Decision Tree Methods

  • Chengquan Hu
  • Yu Gou
  • Tong Zhang
  • Kai Wang
  • Lili He
  • Yu Jiang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 474)

Abstract

Natural phenomena disturb marine ordinary states mainly by disturb the sea surface temperature. As temperature is the main factor that affects thermocline, in this paper we propose a method to quantitative analyze the correlation between El Niño and thermocline based on decision tree methods rather than qualitative analysis. The experiments use the refined BOA_Argo data and the decision trees are constructed with these data. We aim at making better use of thermocline and trying not to be harmed by natural disasters such as El Niño.

Keywords

El Niño Thermocline Decision tree Quantitative analyze BOA_Argo 

References

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Chengquan Hu
    • 1
  • Yu Gou
    • 1
  • Tong Zhang
    • 1
  • Kai Wang
    • 1
  • Lili He
    • 1
  • Yu Jiang
    • 1
  1. 1.College of Computer Science and TechnologyJilin UniversityChangchunChina

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