DBPapers
DOI: 10.5593/SGEM2016/B32/S15.095

DATA ASSIMILATION METHOD BASED ON THE KALMAN FILTER ASSOCIATED WITH THE WAVE MODELING IN THE WESTERN BLACK SEA

L. Rusu
Wednesday 7 September 2016 by Libadmin2016

References: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, www.sgem.org, SGEM2016 Conference Proceedings, ISBN 978-619-7105-62-9 / ISSN 1314-2704, June 28 - July 6, 2016, Book3 Vol. 2, 727-734 pp

ABSTRACT
In the present work, a post processing method based on Kalman filter is implemented. Moreover, its effectiveness in relationship with increasing the accuracy of the wave model prediction is evaluated. Simulations with the wave model SWAN (Simulating WAves Nearshore) were carried out for an extended period (1999-2013) in the entire basin of the Black Sea and also in a high resolution area focused on the Romanian coastal environment. The wave predictions at the location of the Gloria offshore oil platform are corrected by means of the data assimilation method that uses the Kalman Filter. The wave measurements from the Gloria drilling unit have been considered for the assimilation procedure. Due to the fact that a continuous flow of observational data is necessary in the application of this methodology, some assumptions to fill some gaps in measurements are considered. As the results show, the assimilation of the observations reduced the errors in the predicted values of the parameters significant wave height and mean wave period at the location where the sea states were recorded. It can be thus concluded that, the proposed methodology appears to be effective in increasing the accuracy of the wave predictions and as a further step the approach will be extended for larger geographical spaces.

Keywords: Romanian coast, data assimilation, Kalman filter, wave predictions, SWAN