海洋模式验证的比较方法论证

Karina Hjelmervik
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引用次数: 1

摘要

近年来,可以获得的海洋学数据越来越多。这包括观测数据以及来自水动力海洋模型的数据。为了在新的数据源中建立必要的信心,需要进行验证。一般来说,通过将输出与常规观测或已建立的海洋模型的输出进行比较来验证海洋模型和卫星图像等其他数据来源。文献中使用的比较方法包括从精确的统计方法到快照的比较。这项工作收集了一些最广泛使用的比较方法的描述。每一种方法的能力和局限性都通过模拟和观测海洋学数据的实例加以说明。由于声传播对声速梯度的误差很敏感,因此这项工作特别关注如何确定海洋参数中垂直梯度的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demonstration of Comparison Methods for Ocean Model Validation
In recent years an increasing amount of oceanographic data has become available. This includes observations as well as data from hydrodynamic ocean models. Validation is required for establishing the necessary confidence in new sources of data. Generally ocean models and other data sources such as satellite imagery are validated by comparing the output to conventional observations or the output of established ocean models. Methods of comparison used in literature range from refined statistical methods to comparisons of snapshots. This work collects descriptions of some of the most widely used comparison methods. The capabilities and limitations of each method are demonstrated using examples from modelled and observed oceanographic data. The work has a particular focus on how to determine discrepancies on vertical gradients in the oceanographic parameters since acoustic propagation is sensitive to errors in the sound speed gradient.
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