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The simulation of planetary flows at all the scales that have a significant impact on the climate system is unachievable with nowadays computational resources. Parametrization of the scales smaller than the simulation resolution is thus crucial to correctly resolve the ocean dynamics. In this work, a novel parametrization of the subgrid scales by means of the wavelet transform is introduced in the shallow water and primitive models within the so-called Location Uncertainty framework.

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Transport Noise Defined from Wavelet Transform for Model-based Stochastic Ocean Models

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Francesco L. Tucciarone,
  • Long Li,
  • Etienne Mémin,
  • Louis Thiry

摘要

The simulation of planetary flows at all the scales that have a significant impact on the climate system is unachievable with nowadays computational resources. Parametrization of the scales smaller than the simulation resolution is thus crucial to correctly resolve the ocean dynamics. In this work, a novel parametrization of the subgrid scales by means of the wavelet transform is introduced in the shallow water and primitive models within the so-called Location Uncertainty framework.