DBPapers
DOI: 10.5593/SGEM2015/B41/S17.078

WAVE MODELLING WITH DATA ASSIMILATION TO EVALUATE THE WAVE ENERGY PATTERNS IN THE BLACK SEA

L. Rusu
Friday 25 September 2015 by Libadmin2015

References: 15th International Multidisciplinary Scientific GeoConference SGEM 2015, www.sgem.org, SGEM2015 Conference Proceedings, ISBN 978-619-7105-38-4 / ISSN 1314-2704, June 18-24, 2015, Book4, 597-606 pp

ABSTRACT
A wave modelling system, SWAN based was implemented in the basin of the Black Sea. For the sub oceanic scales, and especially in the enclosed sea basins, such a system appears to be the most appropriate. This is because it allows a better calibration of the model in finding the most suitable configurations for the physical processes, which are rather different in the enclosed seas than those in the open ocean. Model simulations have been performed for a 10-year time interval (1999-2008). Validations have been carried out against satellite data and the model predictions appear to be accurate enough. Moreover, in terms of significant wave height, assimilation techniques of the satellite data have also been considered for improving the reliability of the wave model results. Using the results of this 10-year wave hindcast (1999-2008), an extended analysis of the wave energy patterns in the basin of the Black Sea was performed. As a conclusion, it can be highlighted that although the average wave conditions are sensible inferior to those from the ocean, the waves in the Black Sea should not be totally neglected. Furthermore, from the perspective of the very dynamic development of the nearshore wave energy extraction, and especially of the small amplitude wave energy converters, the coastal environment of the Black Sea might become in the near future competitive also from this point of view. Moreover, the marine energy farms may also play an active role in the coastal protection. Finally, the proposed work provides useful information concerning the climate changes in the Black Sea, an environment that appears to be subjected in the last decades to very dynamic changes.

Keywords: Black Sea, data assimilation, SWAN, wave power, climate changes.