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Volume 43 Issue 12
Dec.  2021
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Article Contents
Wang Kui,Yue Xianchang,Wu Xiongbin, et al. Comparative analysis of SWAN model and ERA-Interim data on significant wave height in the Taiwan Strait[J]. Haiyang Xuebao,2021, 43(12):15–25 doi: 10.12284/hyxb2021173
Citation: Wang Kui,Yue Xianchang,Wu Xiongbin, et al. Comparative analysis of SWAN model and ERA-Interim data on significant wave height in the Taiwan Strait[J]. Haiyang Xuebao,2021, 43(12):15–25 doi: 10.12284/hyxb2021173

Comparative analysis of SWAN model and ERA-Interim data on significant wave height in the Taiwan Strait

doi: 10.12284/hyxb2021173
  • Received Date: 2020-09-16
  • Rev Recd Date: 2021-04-09
  • Available Online: 2021-05-28
  • Publish Date: 2021-12-30
  • The significant wave height (SWH) is a key parameter for describing the ocean waves. In this paper, the SWH in the Taiwan Strait provided by the ERA-Interim reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF) in March 2013 is compared with the buoy observations and the simulation results of the SWAN (Simulating Waves Nearshore) model. The results showed that the correlation coefficient of SWH between the buoy data and the ERA-Interim as well as the SWAN results is 0.94 and 0.98, respectively. The average SWH of the ERA-Interim data is about 51% of the buoy data and 70% of the SWAN results. The monthly averaged values of the spatial anomaly correlation coefficient (ACC) of the SWH between the ERA-Interim data and the SWAN results is 0.51. The ACC was minimal when the wind started, it boosted rapidly with increasing of the wind speed and reached the maximum before the wind speed reached the peak. Then the ACC turned to decrease at the peak wind speed. Integrated analysis imply that the ERA-Interim data can reflect the spatial distribution and the temporal variations trend of the SWH over the Taiwan Strait during this period, but it’s evidently smaller than the SWAN model data.
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