Data assimilation in near-shore modeling

Abstract:

The impact of assimilating buoy directional wave data in nearshore wave modeling is evaluated through hindcasts carried out by means of a nested implementation of the SWAN and the WAM models. The assimilation technique used is an adaptation of the optimal interpolation technique used to a great extent for assimilating wave data. In order to account for complexities of the wave spectrum a partitioning method has been implemented for identifying and separating its different components. The identification of the wave systems in space is done by means of a cross-assignment point to point for the model components. The comparison of components between buoy and model results is also done by cross-assignment. This paper discusses the innovations and limitations involved in the adaptation of the partitioning technique for spectral analysis and points out at the challenges and perspectives of data assimilation in near-shore wave modeling. Some preliminary results of the implementation described are shown. This study aims to improve nearshore wave estimates for the wave climate along the Belgian coast.

Año de publicación:

2006

Keywords:

Fuente:

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