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Comparative analysis of SWAN model and ERA-Interim data on significant wave height in the Taiwan Strait
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Kui Wang1, Xianchang Yue1, *, Xiongbin Wu1, Heng Zhou1, Chenkemin Teng1
Haiyang Xuebao | 2021, 43(12) : 15 - 25
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Haiyang Xuebao | 2021, 43(12): 15-25
• Article •
Comparative analysis of SWAN model and ERA-Interim data on significant wave height in the Taiwan Strait
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Kui Wang1, Xianchang Yue1, *, Xiongbin Wu1, Heng Zhou1, Chenkemin Teng1
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  • 1School of Electronic Information, Wuhan University, Wuhan 430072, China
Published: 2021-12-30 doi: 10.12284/hyxb2021173
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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.

ERA-Interim data  /  SWAN  /  buoy  /  Taiwan Strait  /  significant wave height
Kui Wang, Xianchang Yue, Xiongbin Wu, Heng Zhou, Chenkemin Teng. 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
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Article Info
doi: 10.12284/hyxb2021173
  • Receive Date：2020-09-16
  • Online Date：2026-02-26
  • Published：2021-12-30
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  • Received：2020-09-16
  • Revised：2021-04-09
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    1School of Electronic Information, Wuhan University, Wuhan 430072, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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