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DATA ASSIMILATION METHODS TO IMPROVE THE WAVE PREDICTIONS IN THE ROMANIAN COASTAL ENVIRONMENT

RAILEANU, Alina, Rusu, Liliana, Rusu, Eugen

First published: 2016-06-28https://doi.org/10.5593/sgem2016/b22/s10.109View metrics

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Title
DATA ASSIMILATION METHODS TO IMPROVE THE WAVE PREDICTIONS IN THE ROMANIAN COASTAL ENVIRONMENT
Authors
RAILEANU, Alina, Rusu, Liliana, Rusu, Eugen
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 16th International Multidisciplinary Scientific GeoConference SGEM2016, Informatics, Geoinformatics and Remote Sensing
Publisher
Stef92 Technology
Year
2016
Pages
855-862
ISSN
1314-2704
ISBN
978-619-7105-59-9
Language
en
Publication type
Conference Paper
References30

  1. Akpinar A., Kömürcü M.I., Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data, Applied Energy, vol.101, pp 502–512, 2013. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016

  2. Rusu E., Ventura Soares C., Rusu L., Computation al strategies and visualization techniques for the waves modelling in the Portuguese nearshore, Maritime Transportation and Exploitation of Ocean and Coastal Resources (C.G. Soares, Y. Garbatov & N. Fonseca Eds.), Taylor & Francis Group, London, vol. II, p p 1129-1136, 2005.

  3. Zanopol, A., Onea, F., Rusu, E., Coastal impact assessment of a generic wave farm operating in the Romanian nearshore, Energy, vol. 72/issue 8, pp 652-670, 2014.

  4. Zanopol A., Onea F., Rusu E., Evaluation of the coastal influence o f a generic wave farm operating in the Romanian nearshore , Journal of Environmental Protection and Ecology, vol. 15/issue 2, pp 597-605, 2014.

  5. Cavaleri L ., Bertotti L. , The improvement of modeled wind and wave fi elds with increasing resolution, Ocean Engineering, vol. 33, pp 553–565, 2006.

  6. Onea F., Rusu E., Wind energy assessments along the Black Sea basin, Meteorological Applications, vol. 21/issue 2, pp 316-329, 2014.

  7. Galabov V., Kortcheva A., The influence of the meteorological forcing data o n the reconstructions of historical storms in the Black Sea, The 13 th SGEM GeoConference on W ater Resources. Forest, Marine a nd Ocean Ecosystems, Bulgaria, pp 855 – 862, 2013.

  8. Booij N., Ris R.C., Holthuijsen L.H., A third generation wave model for coastal regions. Part 1: Model description and validation, Journal of Geophysical Research, vol. 104/issue 4, pp 7649-7666, 1999.

  9. Rusu L., Butunoiu D., Rusu E., Analysis of the extreme storm events in the Black Sea considering the results of a ten -year wa ve hindcast, Journal of Environmental Protection and Ecology, vol. 15/issue 2, pp 445-454, 2014.

  10. Rusu L., Assessment of the Wave Energy in the Black Sea Based on a 15 -Year Hindcast with Data Assimilation, Energies, vol. 8/issue 9, pp 10370-10388, 2015.

  11. Soukissian T., Kechris C., About applying linear stru ctural method on ocean data: Adjustment of satellite wave data , Ocean Engineering , vol. 34/issue 3-4, pp 371-389, 2007.

  12. Răileanu A., Rusu L., Rusu E., Wave modelling with data assimilation in the Romanian nearshore, Towards Green Marine Technology and Transport - Guedes Soares, Dejhalla & Pavletic (Eds), CRC Press, Taylor & Francis Group, London, pp -843, 2015.

  13. Kalnay E., Atmospheric Modeling Data Assimilation and Predictability. Cambridge University Press, 341 pp, 2002.

  14. Lionello P., Günther H., Janssen P.A.E.M., . Assimilation of altimeter data in a global third-generation wave model, Journal of Geophysical Research , vol. 97, pp 14453-14474, 1992.

  15. Butunoiu D., Rusu E., A Data Assimilation Scheme to Improve the Wave Predictions in the Black Sea, OCEAN’15 MTS/IEEE Conference - Discovering Sustainable Ocean Energy for a New World, Genova, Italy, 2015. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

  16. Akpinar A., Kömürcü M.I., Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data, Applied Energy, vol.101, pp 502–512, 2013. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016

  17. Rusu E., Ventura Soares C., Rusu L., Computation al strategies and visualization techniques for the waves modelling in the Portuguese nearshore, Maritime Transportation and Exploitation of Ocean and Coastal Resources (C.G. Soares, Y. Garbatov & N. Fonseca Eds.), Taylor & Francis Group, London, vol. II, p p 1129-1136, 2005.

  18. Zanopol, A., Onea, F., Rusu, E., Coastal impact assessment of a generic wave farm operating in the Romanian nearshore, Energy, vol. 72/issue 8, pp 652-670, 2014.

  19. Zanopol A., Onea F., Rusu E., Evaluation of the coastal influence o f a generic wave farm operating in the Romanian nearshore , Journal of Environmental Protection and Ecology, vol. 15/issue 2, pp 597-605, 2014.

  20. Cavaleri L ., Bertotti L. , The improvement of modeled wind and wave fi elds with increasing resolution, Ocean Engineering, vol. 33, pp 553–565, 2006.

  21. Onea F., Rusu E., Wind energy assessments along the Black Sea basin, Meteorological Applications, vol. 21/issue 2, pp 316-329, 2014.

  22. Galabov V., Kortcheva A., The influence of the meteorological forcing data o n the reconstructions of historical storms in the Black Sea, The 13 th SGEM GeoConference on W ater Resources. Forest, Marine a nd Ocean Ecosystems, Bulgaria, pp 855 – 862, 2013.

  23. Booij N., Ris R.C., Holthuijsen L.H., A third generation wave model for coastal regions. Part 1: Model description and validation, Journal of Geophysical Research, vol. 104/issue 4, pp 7649-7666, 1999.

  24. Rusu L., Butunoiu D., Rusu E., Analysis of the extreme storm events in the Black Sea considering the results of a ten -year wa ve hindcast, Journal of Environmental Protection and Ecology, vol. 15/issue 2, pp 445-454, 2014.

  25. Rusu L., Assessment of the Wave Energy in the Black Sea Based on a 15 -Year Hindcast with Data Assimilation, Energies, vol. 8/issue 9, pp 10370-10388, 2015.

  26. Soukissian T., Kechris C., About applying linear stru ctural method on ocean data: Adjustment of satellite wave data , Ocean Engineering , vol. 34/issue 3-4, pp 371-389, 2007.

  27. Răileanu A., Rusu L., Rusu E., Wave modelling with data assimilation in the Romanian nearshore, Towards Green Marine Technology and Transport - Guedes Soares, Dejhalla & Pavletic (Eds), CRC Press, Taylor & Francis Group, London, pp -843, 2015.

  28. Kalnay E., Atmospheric Modeling Data Assimilation and Predictability. Cambridge University Press, 341 pp, 2002.

  29. Lionello P., Günther H., Janssen P.A.E.M., . Assimilation of altimeter data in a global third-generation wave model, Journal of Geophysical Research , vol. 97, pp 14453-14474, 1992.

  30. Butunoiu D., Rusu E., A Data Assimilation Scheme to Improve the Wave Predictions in the Black Sea, OCEAN’15 MTS/IEEE Conference - Discovering Sustainable Ocean Energy for a New World, Genova, Italy, 2015. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

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