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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Reconstructing the Subsurface Temperature Field by Using Sea Surface Data Through Self-Organizing Map Method
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Reconstructing the Subsurface Temperature Field by Using Sea Surface Data Through Self-Organizing Map Method

机译:自组织图法利用海面数据重建地下温度场

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摘要

Self-organizing map (SOM) method combined with the empirical orthogonal function was used to reconstruct the subsurface temperature field by using sea surface data in the Northwestern Pacific Ocean. In contrast to the traditional method, SOM method can extract nonlinear relations from the data and is more suitable for nonlinear dynamics in the ocean. Error statistics show that SOM method provides reconstructions of the subsurface temperature field with the majority of relative errors below 20% at 0–1000-m depth.
机译:利用自组织映射(SOM)方法结合经验正交函数,利用西北太平洋海表数据重建了地下温度场。与传统方法相比,SOM方法可以从数据中提取非线性关系,并且更适合于海洋中的非线性动力学。误差统计数据表明,SOM方法可重建地下温度场,并且在0–1000-m深度处大多数相对误差低于20%。

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