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Publicações
Rusu, L. e Guedes Soares, C. (2015), “Application of data assimilation for improving the predictions of storm conditions close to the West Iberian coast”, Guedes Soares, C. Dejhalla R. and Pavletiæ D., (Eds.), Towards Green Marine Technology and Transport, Taylor & Francis Group, London, UK, pp. 795-800
The implementation of a data assimilation scheme based on the Optimal Interpolation method is described. The present study is focused on the major winter storms that occurred in December 2013 and January 2014. The wave prediction system used for simulations is based on two state-of-the-art spectral phase averaged wave models. For the wave generation at ocean scale WAM (WAve prediction Model) was used, while for the coastal transformation SWAN (Simulating Waves Nearshore) model was applied. Both wave models were forced with the reanalysis wind field of NCEP Climate Forecast System Version 2. The comparison of the in situ measured and modelled wave parameters showed that, in general, the extreme wave conditions were predicted with a reasonable accuracy. Nevertheless, both under evaluations and over evaluations of the significant wave heights have been noticed in the case of the extreme peaks. In order to correct such situations a data assimilation scheme for the multi satellite altimeter data has been implemented. This data assimilation scheme was applied only to the significant wave height fields that are output of the SWAN model, generating the analysis fields. Furthermore, the impact of the data assimilation on the wave predictions has been evaluated by performing comparisons against buoy measurements. The results show very clearly that the statistical parameters are considerably better in the case of the assimilated significant wave heights.
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