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A Piecewise Curve-Fitting Technique for Vertical Ocea-nographic Profiles and Its Application to Density Distribution

机译:垂直海相剖面的分段曲线拟合技术及其在密度分布中的应用

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摘要

A unified method of approximation, extrapolation, and objective layering is offered for processing vertical oceanographic profiles. The method is demonstrated using seawater density and consists of adjustable splitting of each individual profile into N vertical layers based on tentative, piecewise linear homogeneous approximation with specified accuracy and a final fitting of an N-layered analytical model to data. A set of 3N coefficients of the model includes one density value at the sea surface; N-1 depths of layer interfaces; and N pairs of coefficients that describe a profile shape within the n-th layer-an asymptotic density value (a key parameter for extrapolation) and a vertical scale of maximum density variability (related to vertical gradient). Several distinctive characteristics of the technique are: (1) It can be used for the analysis of the vertical structure of individual profiles when N is an unknown parameter, and spatial interpolation when N should be equal for all profiles. (2) A justified downward extrapolation of incomplete data is possible with the model, especially if historical deepwater profiles are available. (3) Layer interfaces, as well as other coefficients, are derived with only one fitting to the entire profile. (4) The technique, using its general formulation, can serve as a parent for developing various types of models. The simpler step-like (with hyperbolic or exponential approximation) and more complicated smooth (continuous in gradient space) models were designed and tested against a large number of density profiles from the Sea of Okhotsk and the Gulf of California. Comparison of parametric, z-levels and isopycnal averaging was done for the region off the northeastern coast of Sakhalin.
机译:提供了一种近似,外推和客观分层的统一方法来处理垂直海洋剖面。该方法使用海水密度进行了演示,该方法包括基于具有指定精度的试验性,分段线性齐次逼近,以及将N层分析模型最终拟合为数据,将每个剖面可拆分为N个垂直层。该模型的一组3N系数包括一个海面密度值; N-1层界面深度; N对系数,描述第n层内的轮廓形状-渐近密度值(外推的关键参数)和最大密度变化的垂直标度(与垂直梯度有关)。该技术的几个显着特征是:(1)当N为未知参数时,可用于分析单个轮廓的垂直结构,而当N对所有轮廓均相等时,可用于空间插值。 (2)使用该模型可以对不完整数据进行合理的向下推断,尤其是在具有历史深水剖面的情况下。 (3)层接口以及其他系数仅通过一种拟合得出整个轮廓。 (4)该技术使用其一般表述,可以作为开发各种类型模型的基础。针对来自鄂霍次克海和加利福尼亚湾的大量密度剖面,设计并测试了较简单的阶梯状模型(具有双曲线或指数逼近)和较复杂的平滑模型(在渐变空间中连续)。对萨哈林岛东北海岸以外的区域进行了参数,z水平和等高线平均的比较。

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