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Significant wave height prediction by using a spatial model

机译：利用空间模型预测重要波高

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摘要

Spatial assessment of variables in a considered region saves its significance for engineering applications. Branches in ocean engineering need the results of this assessment like radius of influence of stations that records the wave measurements and various meteorological variables values. Classical approaches like Kriging do not provide radius of influence for the concerned station. On the other hand, prediction of these measurements from other surrounding stations in the region is a basic requirement. In this paper, it is aimed to predict significant wave height records in a specific region by using trigonometric point cumulative semivariogram (TPCSV) concept. The main difference of this approach from the point cumulative semivariogram (PCSV) approach is the determination of influence radius. More accurate results can be obtained by TPCSV. The spatial correlation and weightings are also obtained through the TPCSV where the distance between two sites is known. The proposed method yields the least prediction error compared with other objective methodologies. The implementation of this methodology is presented for a set of offshore locations distributed along the west United States coastline.
机译：在考虑的区域中对变量进行空间评估可以节省其对工程应用的重要性。海洋工程部门需要这种评估的结果，例如记录波浪测量值和各种气象变量值的气象站的影响半径。诸如克里金（Kriging）之类的经典方法无法为相关站点提供影响半径。另一方面，从该区域其他周围站点预测这些测量值是基本要求。本文旨在通过使用三角点累积半变异函数（TPCSV）概念来预测特定区域中的重要波高记录。该方法与点累积半变异函数（PCSV）方法的主要区别在于确定影响半径。 TPCSV可以获得更准确的结果。还可以通过TPCSV获得空间相关性和权重，其中已知两个站点之间的距离。与其他客观方法相比，该方法产生的预测误差最小。针对沿美国西部海岸线分布的一组离岸地点，介绍了此方法的实现。

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