一种海洋混合层深度的智能识别方法研究

doi:10.11978/2018137

Abstract

Abstract:

An artificial intelligence (AI) method for identifying upper-ocean mixed layer depth (MLD) is proposed. In this method, a linear model, whose coefficient and variance are made into a set of statistics to characterize the profile, is established between temperature (density) and pressure (or depth). A subjective priori distribution is set in an initial window. The maximum posterior probability estimate of the mean coefficient value is obtained when the window is moved down from the sea surface, by learning the new data through the Bayesian chain rule and the minimum description length principle. The existence and depth of the mixed layer are determined when the jump of the coefficient is found by using the F-distribution. Using the Argo buoy data measured in the Pacific Ocean in February 2017, and taking the value of the quality index (QI) to estimate the accuracy of the MLD results, we find that this AI method is superior to the gradient method, the threshold method, the Hybrid method, and the relative-variant method.

Key words: upper-ocean mixed layer, artificial intelligence method, Bayesian chain rule, minimum description length principle

CLC Number:

P731.26

Kang ZHANG,Shuangxi GUO,Pengqi HUANG,Ling QU,Yuanzheng LU,Xianrong CEN,Lusha YU,Weidong ZHOU,Shengqi ZHOU. Using artificial intelligence for identifying the depth of upper-ocean mixed layer[J].Journal of Tropical Oceanography, 2019, 38(5): 32-41.

Figures/Tables 13

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References 38

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方法	QI_mean	QI_0.25	QI_0.5	QI_0.75	QI_std
阈值法	0.795	0.708	0.899	0.962	0.239
梯度法	0.683	0.488	0.800	0.948	0.316
混合法	0.713	0.549	0.865	0.963	0.329
相对变化法	0.900	0.870	0.945	0.982	0.129
最大角度法	0.710	0.556	0.820	0.956	0.307
最优线性拟合	0.782	0.725	0.927	0.985	0.314
AI法	0.936	0.922	0.969	0.990	0.104

方法	QI_mean	QI_0.25	QI_0.5	QI_0.75	QI_std
阈值法	0.783	0.672	0.915	0.974	0.267
梯度法	0.727	0.596	0.808	0.926	0.251
混合法	0.734	0.594	0.872	0.962	0.306
相对变化法	0.893	0.862	0.945	0.983	0.144
最大角度法	0.740	0.621	0.850	0.965	0.299
最优线性拟合	0.797	0.752	0.930	0.985	0.297
AI法	0.921	0.902	0.959	0.988	0.117

Using artificial intelligence for identifying the depth of upper-ocean mixed layer

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