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<p>The storage and retrieval of wave spectra for boundary conditions in nested wave modeling are computationally intensive due to the substantial storage requirements of each spectrum. A recently developed method (Jiang <i>et al</i>., 2023) addresses this by representing two-dimensional wave spectra using a set of Reconstruction Parameters (RPs), enabling efficient long-term and large-scale wave spectrum storage. This study presents an RP dataset for the China-adjacent seas, derived from 165,590 grid points at a 1⁄ 12° × 1⁄ 12° resolution and hourly intervals from 2000 to 2024, supporting the reconstruction of spectra with up to six spectral partitions. Validation against independent buoy and satellite observations shows strong agreement with wave parameters derived from the simulated spectra. Moreover, comparative analysis reveals remarkably close consistency between characteristics obtained from the original simulated spectra and their reconstructed counterparts, with the reconstruction accuracy exceeding the inherent uncertainties of the original numerical simulations. Additional nested modeling experiments further affirm the dataset’s exceptional utility for wave hindcasting and forecasting applications in the China-adjacent seas.</p>

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Wave spectrum Reconstruction Parameters for nested wave modeling in the China-adjacent seas from 2000 to 2024

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月14日

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  • Xingjie Jiang,
  • Yongzeng Yang,
  • Xunqiang Yin,
  • Yuxuan Zha

摘要

The storage and retrieval of wave spectra for boundary conditions in nested wave modeling are computationally intensive due to the substantial storage requirements of each spectrum. A recently developed method (Jiang et al., 2023) addresses this by representing two-dimensional wave spectra using a set of Reconstruction Parameters (RPs), enabling efficient long-term and large-scale wave spectrum storage. This study presents an RP dataset for the China-adjacent seas, derived from 165,590 grid points at a 1⁄ 12° × 1⁄ 12° resolution and hourly intervals from 2000 to 2024, supporting the reconstruction of spectra with up to six spectral partitions. Validation against independent buoy and satellite observations shows strong agreement with wave parameters derived from the simulated spectra. Moreover, comparative analysis reveals remarkably close consistency between characteristics obtained from the original simulated spectra and their reconstructed counterparts, with the reconstruction accuracy exceeding the inherent uncertainties of the original numerical simulations. Additional nested modeling experiments further affirm the dataset’s exceptional utility for wave hindcasting and forecasting applications in the China-adjacent seas.