INTEGRAL CONTROL DATA ASSIMILATION IN WAVE PREDICTIONS

L.H. Holthuijsen, N. Booij, M. van Endt, S. Caires, C. Guedes Soares

Abstract


In the present study a technique for assimilating observed wave data in numerical wave predictions is developed that exploits (a) the efficiency of a limited number of integral control variables and (b) the effectiveness of variational (model-consistent) assimilation. The formal procedure is independent of the type of control variables and of the wave model. The integral control variables in this study are chosen to represent large-scale errors in the driving wind fields and uncertainties in the wave model. The assimilation technique is validated with observations of the ERS-1 satellite altimeter and two waverider buoys in two consecutive storms in the Norwegian Sea. The assimilation of the observations reduced the errors in the predicted significant wave height at the buoy locations typically from 25% to 15%. The technique is also demonstrated with an simulation of swell prediction in the Indian Ocean based on simulated buoy data and satellite data.

Keywords


integral control data; data assimilation; wave prediction

Full Text: PDF

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.