Comparison of surface and lateral boundary conditions controlled by pseudo-altimeter data assimilation for a regional Kuroshio model

研究成果: ジャーナルへの寄稿学術誌査読

抄録

Satellite altimeter data assimilation into a regional ocean model southwest of Japan is studied based on an approximate Kalman filter. System error or process noise has been conventionally attributed to surface meteorological conditions. However, the effects of surface meteorological change by the data assimilation decay rapidly to depths and may not propagate into deep layers. Here, we attempted to employ lateral boundary update by the data assimilation in comparison with surface forcing control to improve the representation of the Kuroshio Current. The magnitude of process noise from the surface and lateral boundary forcings was separately determined by minimizing the root-mean-square difference of temperature. The results showed that the effect of lateral forcing propagated into deep layers, and it performed better than the experiments controlling surface conditions around the Kuroshio Current where the water depth is deep. However, the data assimilation of surface meteorological condition was found to be still effective in shallow area. The cross-spectral analysis indicated that satellite altimeter data assimilation can improve the representation of long-term Kuroshio Current variability.

本文言語英語
ジャーナルJournal of Oceanography
DOI
出版ステータス印刷中 - 2022

!!!All Science Journal Classification (ASJC) codes

  • 海洋学

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