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2nd Workshop with international participation under the EU Copernicus Programme COPE4BG 2020
Published December 30, 2021 | Version v1
Conference paper Open

Use of satellite data by the Copernicus program for assessment of modeled wind field from atmospheric weather prediction models for the Black Sea

Creators

  • 1. National Institute of Meteorology and Hydrology, Sofia, Bulgaria

Description

The issue of marine forecasts in NIMH is carried out by the numerical wind- wave forecast system for the Black Sea, which was developed and improved through the years.The existing operational marine forecasting system is based on state of art numerical spectral wave models SWAN and WAVEWATCH III (WW3), providing 72-hours wind wave forecast for the Black Sea area. The input data for the system are the wind fields at 10 m over the sea surface provided by the atmospheric model ALADIN, specially set up for the Black Sea. The accuracy of the wind - wave forecast depends largely on the quality of  the wind fields and the type of atmospheric models - global or regional. This  paper present  the results of  the evaluation of the wind speed at 10 m from the regional atmospheric model ALADIN and HRES – a global atmospheric model with high spatial resolution of the European Center for Medium-Range Weather Forecast (ECMWF). The statistical assessment was made by comparing of modeled wind speed fields with satellites wind data (in near real time) at 10 m from ASCAT scatterometers of satelltes MetOP B and MetOP C over  the Black Sea, which are disseminated by the Copernicus Marine Environment Monitoring Service (CMEMS), part of the Copernicus Program. The statistical results show a good agreement between the models and satellite measurements.

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Additional details

Identifiers

ISBN
978-619-7490-09-1

References

  • ALADIN,(2019). Aire Limitée Adaptation dynamique Développement InterNational. http://www.umr-cnrm.fr/aladin/spip.php?article259
  • Ardhuin, F, Bertotti L, Bidlot J-R, Cavaleri L, Filipetto V, Lefevre JM and Wittmann P., (2007), Comparison of wind and wave measurements and models in the Western Mediterranean Sea. Ocean Engineering 34 (3–4): 526–541.
  • Booij, N., Ris, R. C. and Holthuijsen L. H. (1999), "A third-generation wave model forcoastal regions. 1. Model description and validation", J. Geophys. Res., 104,7649–7666.
  • Dimitrova, M, Kortcheva A, Galabov V., (2013) Validation of the operational wave model WAVEWATCH III against altimetry data from Jason-2 satellite, Bul. J. of Meteo & Hydro 18/1-2 : 4-17.
  • Dimitrova, M., Galabov, V., Kortcheva, A. and Marinski, J. (2019). Use of Satellite Data in Marine Early Warning System Proceedings of the 14TH International MEDCOAST Congress on Coastal and Marine Sciences, Engineering, Management and Conservation, 22-26 October 2019, Marmaris, Turkey; Ozhan, E. (editor), MEDCOAST 19, vol. 1, pp. 139-150.
  • Dimitrova, M, Kortcheva A, Galabov V., (2019) Comparison of modeled wind speed fields with scatterometer wind data over the Black Sea Bul. J. of Meteo & Hydro, 23/2;1-19.
  • Galabov, V., Kortcheva A., (2013), The influence of the meteorological forcing data on the reconstructions of historical storms in the Black Sea, DOI:10.5593/SGEM2013/BC3/S15.006
  • Galabov, V., Kortcheva, A., Bogachev, A., andTsenova, B. (2015), "Investigation of the hydro-meteorological hazards along the Bulgarian coast of the Black Sea by reconstructions of historical storms",Journal of Environmental Protection and Ecology, 16, 3, 1005-1015.
  • Holthuijsen, LH., Booji N. and Bertotti L., (1996), The Propagation of Wind Errors through Ocean Wave Hindcasts. Journal of Offshore Mechanics and Arctic Engineering 118:184–189.
  • Kortcheva, A & Dimitrova M. & Galabov V. (2010), A wave prediction system for real time sea state forecasting in the Black Sea, Bul. J. Meteo & Hydro, 15/2, pp 66-80.
  • Kortcheva, A., V. Galabov, M. Dimitrova, A. Bogatchev, (2014), Hindcast of extreme hydro-meteorological events along the Bulgarian Black Sea coast. In: proceedings of International Conference Analysis and Management of Changing Risks for Natural Hazards, 18-19 November 2014, Padua, Italy, AO6, 10-17.
  • Stoffelen,, A., and D. Anderson, (1997), Scatterometer Data Interpretation: Measurement Space and Inversion, J. Atmos. and Oceanic Tech.,14,1298-1313
  • Stoffelen, A., Portabella M., Verhoef A., Verspeek J., Vogelzang J., (2006), Mesoscale winds from the new ASCAT scatterometer, KNMI Res. Biennial Rep. 2005–2006, http://www.knmi.nl/research/biennial/05-06 ASCAT.pdf.
  • Stoffelen, A., Vogelzang J., Verhoef A., (2010), Verification of scatterometer winds, 10th Int. Winds Workshop, http://www.knmi.nl/publications/fulltexts/scat_iww10.pdf.
  • SWAN Team,(2019), " SWAN Scientific and Technical Documentation,SWAN Cycle III version 41.31", Delft University of Technology.
  • Tolman, H. L., 2009: User manual and system documentation of WAVEWATCH III version 3.14. NOAA/NWS/NCEP/MMAB Tech. Note 276, 194 pp. + appendixes.
  • Umesha, P.A., Prasad K.Bhaskarana., K.G.Sandhyab, T.M.Balakrishnan Nairb, (2017), An assessment on the impact of wind forcing on simulation and validation of wave spectra at coastal Puducherry, east coast of India, Ocean Engineering Volume 139, 15 July 2017, pp. 14-32.
  • WMO, (1998), Guide to Wave Analysis and Forecasting, Vol. WMO 702 World Meteorological Organization ISBN 92-63-12702-6.