Reconstructing the Subsurface Temperature Field by Using Sea Surface Data Through Self-Organizing Map Method

作者：Chen, Cheng; Yang, Kunde^*; Ma, Yuanliang; Wang, Yang

来源：IEEE Geoscience and Remote Sensing Letters, 2018, 15(12): 1812-1816.

DOI：10.1109/LGRS.2018.2866237

• Empirical orthogonal EOF)
• sea surface data
• self-organizing map (SOM)
• subsurface temperature reconstruction

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.

• 出版日期2018-12
• 单位哈尔滨工业大学; 西北工业大学