System of the Wind Wave Operational Forecast by the Black Sea Marine Forecast Center

Yu. B. Ratner, V. V. Fomin, A. M. Ivanchik, M. V. Ivanchik

Marine Hydrophysical Institute, Russian Academy of Sciences, Sevastopol, Russian Federation

e-mail: antonishka@gmail.com

Abstract

System of the wind wave operational forecast in the Black Sea based on the SWAN (Simulating Waves Nearshore) numerical spectral model is represented. In the course of the system development the SWAN model was adapted to take into account the features of its operation at the Black Sea Marine Forecast Center.

The model input-output is agreed with the applied nomenclature and the data representation formats. The user interface for rapid access to simulation results was developed. The model adapted to wave forecast in the Black Sea in a quasi-operational mode, is validated for 2012–2015.

Validation of the calculation results was carried out for all five forecasting terms based on the analysis of two-dimensional graphs of the wave height distribution derived from the data of prognostic calculations and remote measurements obtained with the altimeter installed on the Jason-2 satellite. Calculation of the statistical characteristics of the deviations between the wave height prognostic values and the data of their measurements from the Jason-2 satellite, as well as a regression analysis of the relationship between the forecasted and measured wave heights was additionally carried out.

A comparison of the results obtained with the similar results reported in the works of other authors published in 2009–2016 showed their satisfactory compliance with each other.

The forecasts carried out by the authors for the Black Sea as well as those obtained for the other World Ocean regions show that the current level of numerical methods for sea wave forecasting is in full compliance with the requirements of specialists engaged in studying and modeling the state of the ocean and the atmosphere, as well as the experts using these results for solving applied problems.

Keywords

the Black Sea, SWAN, automatic system, wave forecast, altimetry, satellite measure-ments, wave height, validation, visualization, server

For citation

Ratner, Yu.B., Fomin, V.V., Ivanchik, A.M. and Ivanchik, M.V., 2017. System of the Wind Wave Operational Forecast by the Black Sea Marine Forecast Center. Physical Oceanography, (5), pp. 51-59. doi:10.22449/1573-160X-2017-5-51-59

DOI

10.22449/1573-160X-2017-5-51-59

References

  1. Hasselmann, S., Hasselmann, K., Bauer, E., Janssen, P.A.E.M., Komen, G.J., Bertotti, L., Lionello, P., Guillaume, A., Cardone, V.C. and Greenwood, J.A., 1988. The WAM Model – a Third Generation Ocean Wave Prediction Model. Journal of Physical Oceanography, [e-journal] 18(12), pp. 1775-1810. doi:10.1175/1520-0485(1988)018<1775:TWMTGO>2.0.CO;2
  2. Booij, N., Ris, R.C. and Holthuijsen, L.H., 1999. A Third-Generation Wave Model for Coastal Regions: 1. Model Description and Validation. J. Geophys. Res., [e-journal] 104(C4), pp. 7649-7666. doi:10.1029/98JC02622
  3. The SWAN team, 2016. SWAN Cycle III Version 41.10AB. Scientific and Technical Documentation. Delft: Delft University of Technology, Faculty of Civil Engineering and Geosciences, Environmental Fluid Mechanics Section, 138 p. Available at: http://swanmodel.sourceforge.net/download/zip/swantech.pdf [Accessed 10 May 2017].
  4. Zelenko, A.A., Strukov, B.S., Resnyansky, Yu.D. and Martynov, S.L., 2014. Sistema Prognozirovaniya Vetrovogo Volneniya v Mirovom Okeane i Moryakh Rossii [A System of Wind Wave Forecasting in the World Ocean and Seas of Russia]. In: SOI, 2014. SOI Proceedings. Moscow, Obninsk: Artifex. No. 215, pp. 90-101 (in Russian).
  5. Dimitrova, M., Kortcheva, A. and Galabov, V., 2013. Validation of the Operational Wave Model WAVEWATCH III against Altimetry Data from JASON-2 Satellite. Bulgarian Journal of Meteorology and Hydrology, 18(1-2), pp. 4-17.
  6. Rusu, L., Bernardino, M. and Guedes Soares, C., 2014. Wind and Wave Modeling in the Black Sea. Journal of Operational Oceanography, 7(1), pp. 5-20. doi:10.1080/1755876X.2014.11020149
  7. Myslenkov, S. and Chernyshova, A., 2016. Comparing Wave Heights Simulated in the Black Sea by the SWAN Model with Satellite Data and Direct Wave Measurements. Russian Journal of Earth Sciences, [e-journal] 16(ES5002), pp. 1-12. doi:10.2205/2016ES000579
  8. Strukov, B.S., Zelenko, A.A., Resnyanskiy, Yu.D. and Martynov, S.L., 2013. Sistema Prognozirovaniya Kharakteristik Vetrovogo Volneniya i Rezul'taty Ee Ispytaniy dlya Akvatoriy Azovskogo, Chernogo i Kaspiyskogo Morey [Forecast System for the Characteristics of Wind Waves and the Results of Its Tests for the Water Areas of the Azov, Black and Caspian Seas]. In: A.A. Alekseeva, ed., 2013. Informatsionnyy Sbornik № 40. Novye Tekhnologii, Modeli i Metody Gidrometeorologicheskikh Prognozov i Rezul'taty Ikh Operativnykh Ispytaniy [New Technologies, Models and Methods of Hydrometeorological Forecasts and Results of Their Operational Tests]. Мoscow, Obninsk: IG-SOTZIN, pp. 64-79. Available at: http://method.meteorf.ru/publ/sb/sb40/sb40.pdf [Accessed 10 May 2017] (in Russian).
  9. Myslenkov, S.S., Shestakova, A.A. and Toropov, P.A., 2016. Numerical Simulation of Storm Waves near the Northeastern Coast of the Black Sea. Russian Meteorology and Hydrology, [e-journal] 41(10), pp. 706-713. doi:10.3103/S106837391610006X
  10. Stoliarova, E.V. and Myslenkov, S.A., 2015. Prognoz Vetrovogo Volneniya Vysokogo Prostranstven-nogo Razresheniya v Kerchenskom Prolive [High Resolution Wave Forecast System in Kerch Strait]. In: E.S. Nesterov, ed., 2015. Proceedings of Hydrometcentre of Russia. Moscow: Triada Ltd. Vol. 354, pp. 24-35. Available at: http://method.meteorf.ru/publ/tr/tr354/tr354.pdf [Accessed 10 May 2017] (in Russian).
  11. Tolman, H.L., 1990. A Third-Generation Model for Wind Waves on Slowly Varying, Unsteady and Inhomogeneous Depths and Currents. Journal of Physical Oceanography, [e-journal] 21, pp. 782-797. doi:10.1175/1520-0485(1991)021<0782:ATGMFW>2.0.CO;2
  12. Zieger, S., Vinoth, J. and Young, I.R., 2009. Joint Calibration of Multiplatform Altimeter Measurements of Wind Speed and Wave Height over the Past 20 Years. Journal of Atmospheric and Oceanic Technology, [e-journal] 26, pp. 2549-2564. doi:10.1175/2009JTECHA1303.1
  13. Holthuijsen, L.H., 2007. Waves in Oceanic and Coastal Waters. Cambridge: Cambridge University Press, 404 p. doi:10.2277/0521860288
  14. Grant, W.D. and Madsen, O.S., 1979. Combined Wave and Current Interaction with a Rough Bottom. J. Geophys. Res., [e-journal] 84(C4), pp. 1797-1808. doi:10.1029/JC084iC04p01797
  15. Papadopoulos, A., Katsafados, P., Kallos, G. and Nickovic, S., 2002. The Weather Forecasting System for Poseidon – an Overview. The Global Atmosphere and Ocean System, [e-journal] 8(2-3), pp. 219-237. doi:10.1080/1023673029000003543
  16. Ivanchik, A.M., 2014. Upravlenie Funktsionirovaniem Avtomatizirovannykh Sistem Morskogo Prognoza [Controlling the Operation of Automated Marine Forecast Systems]. In: ISS, 2014. Sovremennye Problemy Gumanitarnykh i Estestvennykh Nauk: Materialy XX Mezhdunarodnoy Nauchno-Prakticheskoy Konferentsii 2-3 Oktyabrya 2014 g. [Contemporary Problems of Humanities and Natural Sciences: Procs of the 20th International Scientific and Practical Conference 2-3 October 2014]. Moscow: Institute for Strategic Studies, pp. 56-61 (in Russian).
  17. Korotaev, G.K., Ratner, Y.B., Ivanchik, M.V., Kholod, A.L. and Ivanchik, A.M., 2016. Operational System for Diagnosis and Forecast of Hydrophysical Characteristics of the Black Sea. Izvestiya. Atmospheric and Oceanic Physics, [e-journal] 52(5), pp. 542-549. doi:10.1134/S0001433816050078
  18. MGI, 2017. THREDDS Data Server [Version 4.3.20 - 20131125.1409] Documentation. [on-line] Available at: http://mis.bsmfc.net:8080/thredds/catalog.html [Accessed 10 May 2017].
  19. Dumont, J.P., Rosmorduc, V., Carrere, L., Picot, N., Bronner, E., Couhert, A., Desai, S., Bonekamp, H., Scharroo, R. and Leuliette, E., 2017. OSTM/Jason-2 Products Handbook. Washington, DS: NOAA/NESDIS. Polar Series/OSTM J400, Issue: 1 rev. 11, 77 p.

Download the article (PDF)