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在普遍利用海洋观测站标准层的温度、盐度数据估算稳定层化海水浮性频率的传统算法中引入自然三次样条插植方法，不仅可使计算结果的精度得以提高，而且还可方便地对观测深度范围内的任一水层进行插值，从而获得总体曲率最小的温度、盐度和浮性频率随深度的分布。本文以南海（13°30’N，118°30’E；9°30’N，lll°30’E）及北太平洋（40°00’N130°00’W）3个测站为例，说明了在浮性频率的传统算法中引入自然三次样条插值法的可行性。
The introduction of the natural cubic spline method in the traditional method of estimating the floating frequency of stable stratified seawater using the temperature and salinity data of the standard stratosphere of ocean observatory not only can improve the accuracy of the calculation results but also can conveniently Interpolate any water layer within the observed depth range to obtain the distribution of temperature, salinity, and buoyancy frequency with depth for which the overall curvature is minimized. This paper takes the South China Sea (13 ° 30’N, 118 ° 30’E; 9 ° 30’N, 111 ° 30’E) and the North Pacific (40 ° 00’N130 ° 00’W) as examples to illustrate The feasibility of introducing natural cubic spline interpolation into the traditional algorithm of floating frequency is introduced.