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F.N. Gippius, V.S. Arkhipkin and G.V. Surkova Lomonosov Moscow State University 11.G.34.31.0007

Annual and seasonal variability of wind wave parameters on the Black Sea. F.N. Gippius, V.S. Arkhipkin and G.V. Surkova Lomonosov Moscow State University 11.G.34.31.0007. Aims & Tasks.

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F.N. Gippius, V.S. Arkhipkin and G.V. Surkova Lomonosov Moscow State University 11.G.34.31.0007

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  1. Annual and seasonal variability of wind wave parameters on the Black Sea F.N. Gippius, V.S. Arkhipkin and G.V. Surkova Lomonosov Moscow State University 11.G.34.31.0007

  2. Aims & Tasks The aim is an assessment of wind waves parameters and their multiannual variability on the Black Sea Tasks: • Preparation of a digital terrain model of the Black Sea’s bottom and coasts • Preparation of a meteorological dataset • Simulation of wind waves on the Black Sea • Evaluation of seasonal average and extreme parameters • Evaluation of multiannual trends • Analysis and interpretation of results Science of the Future

  3. Data & methods

  4. DTM of bottom and coasts Basis – nautical chart of the Black Sea, M=1:2,5 Mio| Golden Software MapViewer was used to digitize the map | Result – a 129 ×242 cells matrix with 5 km spatial resolution Science of the Future

  5. Meteorological data & Wave model Science of the Future

  6. MODEL VALIDATION

  7. AVISO satellite altimetry • Late 2009 – nowaday • 5-day averaged multimission SWH values • 1° × 1° spatial resolution Science of the Future

  8. SWAN vs AVISO Science of the Future

  9. results

  10. Average wave parameters P SWH L Science of the Future

  11. Seasonal SWH maxima Winter Spring Summer Autumn Science of the Future

  12. Typical storm cases Science of the Future

  13. Total storm duration Science of the Future

  14. Extreme wave parameters Maximal wave height possible once in 100 years (m) Science of the Future

  15. Interannual storminess variability Annual total duration of storms (h) r ≈ -0.35 Science of the Future

  16. Interannual storminess variability Annual total duration of storms (h) r ≈ -0.25 Science of the Future

  17. Seasonal storminess variability Science of the Future

  18. Conclusion • Wave parameters of the Black Sea were simulated continuously from 1948 to 2010. • Seasonal extreme wind parameters and their spatial distribution were assessed. • Trends of interannual duration and quantity of storms derived. Practically no alterations of storm activity observed over the entire hindcast period. • Increases and recessions of storminess on the Black Sea correlate with the NAO index Further reading: Arkhipkin, V. S., Gippius, F. N., Koltermann, K. P., and Surkova, G. V.: Wind waves on the Black Sea: results of a hindcast study, Nat. Hazards Earth Syst. Sci. Discuss., 2, 1193-1221, doi:10.5194/nhessd-2-1193-2014, 2014. Science of the Future

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