Forecasting Ocean Mesoscale Eddies in the Northwest Pacific in a Dynamic Ocean Forecast System
The LICOM Forecast System (LFS), a global eddy-resolving ocean forecasting system, provides 1–15-day forecasts of ocean mesoscale eddies (OMEs). This study conducts a comparative analysis of the forecast results against observational data, thereby evaluating the performance of the LFS. Results show that LFS underestimates the number of eddies by ~10% and their amplitude by ~30%, while overestimating eddy radius by ~5% and velocity by ~25%. Forecasted eddies are matched on a one-to-one basis with observed eddies based on distance, ensuring that those forecasted eddies that can locate corresponding counterparts in the observational dataset yield accurate forecasts. The outcomes reveal that the LFS successfully forecasts 63% of the eddies in the NWP. The characteristics of these accurately forecasted eddies are delineated. The findings indicate that eddies with greater amplitudes are more likely to be accurately predicted. Additionally, we further scrutinized the correlation between eddy attributes and forecast performance, revealing that with an increase in amplitude or a decrease in velocity, the LFS produces forecasts with improved locational accuracy. The mean forecast error in eddy position is 79.94 km for a 1-day lead time, which decreases to 70.97 km for eddies with amplitudes exceeding 1 cm and velocities below 1 km/day.
Authors
- Jun Zhang (ORCID: https://orcid.org/0000-0003-1263-1195)
- Mengrong Ding (ORCID: https://orcid.org/0000-0002-1640-2691)
- Weipeng Zheng (ORCID: https://orcid.org/0000-0003-1968-197X)
- Yiwen Li (ORCID: https://orcid.org/0000-0003-2873-4287)
- Pengfei Wang (ORCID: https://orcid.org/0000-0003-1075-0684)
- Hailong Liu (ORCID: https://orcid.org/0000-0002-8780-0398)
- Yao Meng (ORCID: https://orcid.org/0000-0002-8023-6501)
- Zipeng Yu
- Jian Chen (ORCID: https://orcid.org/0000-0003-4756-7154)
- Pengfei Lin (ORCID: https://orcid.org/0000-0003-2361-0066)
Institutions
- Chinese Academy of Sciences (CN)
- University of Exeter (GB)
- China University of Geosciences (Beijing) (CN)
- Zhejiang Ocean University (CN)
- Institute of Atmospheric Physics (CN)
- University of Chinese Academy of Sciences (CN)
- Laoshan Laboratory
Publication Details
- Journal
- Journal of Marine Science and Engineering
- Published
- 2025-08-15
- DOI
- https://doi.org/10.3390/jmse13081571
- Citations
- 1
- Primary Topic
- Oceanographic and Atmospheric Processes
- Type
- article
- Field-Weighted Citation Impact
- 1.79
Funders
- National Natural Science Foundation of China