EGU25-18481, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-18481
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Monday, 28 Apr, 10:45–12:30 (CEST), Display time Monday, 28 Apr, 08:30–12:30
 
Hall X4, X4.18
Improving Global Wave Spectrum Representation Through SWH Assimilation and Spectral Reconstruction in WaveWatch III
Hyeonmin Lee1, Kyeong Ok Kim2, Hanna Kim2, Sang Myeong Oh3, and Young Ho Kim1
Hyeonmin Lee et al.
  • 1Earth Environmental System Science, Pukyong National University, Busan 48513, Republic of Korea
  • 2Korea Institute of Ocean Science and Technology, Busan 49111, Republic of Korea
  • 3National Institute of Meteorological Sciences, KMA, Seogwipo 63568, Republic of Korea

This study applies the Ensemble Optimal Interpolation (EnOI) method to assimilate significant wave height (SWH) data into the WaveWatch III global ocean wave model and evaluates the impact of wave spectrum reconstruction techniques on model performance. The results demonstrate significant reductions in root mean square errors (RMSE) for significant wave height predictions, particularly in most oceanic regions except for the equatorial zones. The assimilated fields enhanced the spectral representation of the WaveWatch III model, substantially improving the accuracy of global wave simulations. This study emphasizes the potential of EnOI-based SWH data assimilation and spectral reconstruction techniques in advancing ocean wave modeling and provides valuable insights for future ocean prediction and operational applications

How to cite: Lee, H., Kim, K. O., Kim, H., Oh, S. M., and Kim, Y. H.: Improving Global Wave Spectrum Representation Through SWH Assimilation and Spectral Reconstruction in WaveWatch III, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-18481, https://doi.org/10.5194/egusphere-egu25-18481, 2025.