Application of the smooth orthogonal decomposition to oceanographic data sets

Application of the smooth orthogonal decomposition to oceanographic data sets
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DOI:
10.1002/2014gl060237
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发表时间:
2014-06
影响因子:
5.2
通讯作者:
J. Kuehl;S. DiMarco;Laura J. Spencer;N. Guinasso
J. Kuehl;S. DiMarco;Laura J. Spencer;N. Guinasso
中科院分区:
地球科学1区
文献类型:
--
作者:
J. Kuehl;S. DiMarco;Laura J. Spencer;N. Guinasso

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将在非线性振动和疲劳领域中发展起来的所谓“平滑正交分解”技术应用于海洋学数据集。这种分解技术克服了适当的正交分解技术的一些限制,通过识别在时间上表现平滑的模式,从而对方差幅度和频率都敏感。这一重要属性是通过识别4天的地形Rossby波的路易斯安那州的斜坡上,适当的正交分解技术未能隔离证明。
The so‐called “smooth orthogonal decomposition” technique, developed in the nonlinear vibrations and fatigue community, is applied to an oceanographic data set. This decomposition technique overcomes some limitations of the proper orthogonal decomposition technique by identifying modes which behave smoothly in time and thus being sensitive to both variance amplitude as well as frequency. This important property is demonstrated through identification of a 4 day topographic Rossby wave on the Louisiana slope, which the proper orthogonal decomposition technique fails to isolate.