![]() In terms of extreme waves, CCMP-NRT generally agrees best with observations. The ERA5, on the other hand, underestimates H s during both fair and extreme weather conditions. The CFSv2/GFS wind has the best performance during fair weather conditions, but overestimates the extreme wave height during typhoon events. Part of the negative bias attributes to the overestimation of altimeter observations, while the boundary conditions only play a minor role, given a relatively large model domain extending to about 135° E. All winds have the tendency to underestimate the altimeter observed H s during fair weather conditions. The default ST6 has comparative skill as JANSSEN during fair weather conditions but tends to predict higher H s during extreme weather events. Systemic difference is presented in the four input source functions, with the JANSSEN and KOMEN packages outperformingWST in terms of significant wave height ( H s) over the CRE. The performance of the five winds, together with four wind input source functions is evaluated by comparing with satellite altimeter observations and multiple in-situ observations. Five different winds are adopted to assess their quality over the CRE, including ERA5, CFSv2, GFS, CCMP-NRT and a newly available high resolution (9 km) wind product from APRCP (Asia-Pacific Regional Coupled Prediction System). A high resolution unstructured SWAN model has been implemented for the Changjiang River Estuary (CRE). ![]()
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