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Group of Marine Environment > 1.3 Wave Modelling and Hindcasting > Publications
Gonçalves, M. and Guedes Soares, C. (2022) , “Local assimilation of wave model predictions for weather routing systems”, Ocean Engineering, Vol. 266, 113126.
This work adopts an assimilation scheme to improve the local wave predictions based on measured wave data at one specific location. This is a typical situation that occurs when waves measured onboard a ship during its transit can be assimilated in weather forecasts for the ship route. The wave modelling system is based on the WAVEWATCH III model, which was run for a 7-year period between 2010 and 2016. The method is tested by using buoy data of the Azores islands. This location was chosen because at Azores the weather is typical of the Atlantic Ocean and some of the existing buoys there are well exposed to the storm conditions, with limited sheltering effect of the islands. The local assimilation of buoy data is applied to the significant wave height as a post-processing analysis in time. Three methods are considered to improve the wave predictions: The Systematic Error method (SE), the Linear Regression method (LR) and the Kalman Filter (KF). The assimilation techniques show a reduction of the errors in the predicted significant wave height close to the buoy location.
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