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Comparing satellite and meteorological data on wind velocity over the Black Sea

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Abstract

Wind-velocity data obtained from in situ measurements at the Golitsyno-4 marine stationary platform have been compared with QuikSCAT scatterometer data; NCEP, MERRA, and ERA-Interim global reanalyses and MM5 regional atmospheric reanalysis. In order to adjust wind velocity measured at a height of 37 m above the sea surface to a standard height of 10 m with stratification taken into account, the Monin–Obukhov theory and regional atmospheric reanalysis data are used. Data obtained with the QuikSCAT scatterometer most adequately describe the real variability of wind over the Black Sea. Errors in reanalysis data are not high either: the regression coefficient varies from 0.98 to 1.06, the rms deviation of the velocity amplitude varies from 1.90 to 2.24 m/s, and the rms deviation of the direction angle varies from 26° to 36°. Errors in determining the velocity and direction of wind depend on its amplitude: under weak winds (<3 m/s), the velocity of wind is overestimated and errors significantly increase in determining its direction; under strong winds (>12 m/s), its velocity is underestimated. The influence of these errors on both spatial and temporal estimates of the characteristics of wind over the Black Sea is briefly considered.

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References

  1. A. B. Polonsky, V. V. Fomin, and A. V. Garmashov, “Characteristics of wind-driven waves in the Black Sea,” Dokl. Nats. Akad. Nauk Ukr., No. 8, 108–112 (2011).

    Google Scholar 

  2. S. Caires, A. Sterl, J.-R. Bidlot, et al., “Intercomparison of different wind-wave reanalyses,” J. Clim. 17, 1893–1913 (2004).

    Article  Google Scholar 

  3. L. Ricciardulli and F. J. Wentz, Reprocessed QuikSCAT (V04), Wind Vectors with Ku-2011 Geophysical Model Function, Tech. Rep. 043011 (Remote Sensing Systems, Santa Rosa, CA, 2011).

    Google Scholar 

  4. N. Ebuchi, H. C. Graber, and M. J. Caruso, “Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data,” J. Atmos. Oceanic Technol. 19 (12), 2049–2062 (2002).

    Article  Google Scholar 

  5. S. A. Grodsky, V. N. Kudryavtsev, A. Bentamy, et al., “Does direct impact of SST on short wind waves matter for scatterometry?,” Geophys. Res. Lett. 39, L12602 (2012)). doi 10.1029/2012GL052091

    Google Scholar 

  6. A. M. Plagge, D. Vandemark, and B. Chapron, “Examining the impact of surface currents on satellite scatterometer and altimeter ocean winds,” J. Atmos. Oceanic Technol. 29 (12), 1776–1793 (2012).

    Article  Google Scholar 

  7. S. Caires and A. Sterl, “Validation of ocean wind and wave data using triple collocation,” J. Geophys. Res. 108, 1978–2012 (2003).

    Article  Google Scholar 

  8. A. A. Kubryakov, M. V. Shokurov, S. V. Stanichny, and A. E. Anisimov, “Land–Sea temperature contrasts in the Black Sea region and their impact on surface wind variability,” Izv., Atmos. Ocean. Phys. 51 (4), 444–453 (2015).

    Article  Google Scholar 

  9. V. V. Efimov and V. S. Barabanov, “Black Sea bora modeling,” Izv., Atmos. Ocean. Phys. 49 (6), 632–641 (2013).

    Article  Google Scholar 

  10. A. V. Garmashov, A. A. Kubryakov, A. I. Korovushkin, et al., “Verification of Oceansat-2 and ASCAT scatterometer data on the basis of wind velocity measurements at a stationary oceanographic platform,” Ukr. Metrol. Zh., No. 1, 50–54 (2014).

    Google Scholar 

  11. S. V. Stanichny, T. M. Bayankina, V. V. Piotukh, and Yu. B. Ratner, “Comparison between statistical characteristics of wind fields over the Black Sea, obtained from NCEP reanalysis, NMA, and QUIKSCAT satellite data, in Environmental Control Systems (NPTs “EKOSIGidrofizika”, Sevastopol, 2006), p. 159 [in Russian].

    Google Scholar 

  12. A. V. Garmashov and A. B. Polonsky, “Wind variability in the northwestern part of the Black Sea from the offshore fixed platform observation data,” Russ. Meteorol. Hydrol. 36 (12), 811–818 (2011).

    Article  Google Scholar 

  13. Yu. N. Toloknov, A. I. Korovushkin, and K. G. Kozlov, “Automated hydrometeorological system,” in Environmental Control Systems (NPTs “EKOSI-Gidrofizika”, Sevastopol, 1998), pp. 12–17 [in Russian].

    Google Scholar 

  14. A. B. Polonsky, A. V. Garmashov, A. I. Korovushkin, and Yu. N. Toloknov, “Variability of wind characteristics in the northwestern Black Sea from 1996 to 2001,” in Environmental Control Systems (NPTs “EKOSI-Gidrofizika”, Sevastopol, 2008), pp. 320–325 [in Russian].

    Google Scholar 

  15. M. V. Shokurov, “Numerical simulation of atmospheric circulation over the Black Sea,” Ekol. Bezop. Pribrezhn. Shel’fovoi Zon Kompleksn. Ispol’z. Resur. Shel’fa 2 (25), 91–113 (2011).

    Google Scholar 

  16. D. P. Dee, S. M. Uppala, A. J. Simmons, et al., “The ERA-Interim reanalysis: Configuration and performance of the data assimilation system,” Q. J. R. Meteorol. Soc. 137 ((656)), 553–597 (2011).

    Article  Google Scholar 

  17. M. M. Rienecker, M. J. Suarez, R. Gelaro, et al., “MERRA: NASA’s modern-era retrospective analysis for research and applications,” J. Clim. 24, 3624–3648 (2011).

    Article  Google Scholar 

  18. S. Saha, S. Moorthi, H. L. Pan, et al., “The NCEP climate forecast system reanalysis,” Bull. Am. Meteorol. Soc. 91 (8), 1015–1057 (2010).

    Article  Google Scholar 

  19. A. S. Monin and A. M. Obukhov, “Main regularities of turbulent exchange in the near-surface layer,” Tr. Inst. Geofiz. AN SSSR, No. 24, 163–187 (1954).

    Google Scholar 

  20. J. A. Businger, J. C. Wyngard, Y. Isumi, and E. F. Breadley, “Flux-profile relationships in the atmospheric surface layer,” J. Atmos. Sci. 28, 181–189 (1971).

    Article  Google Scholar 

  21. A. J. Dyer, “A review of flux-profile relationships,” Boundary-Layer Meteorol. 7, 363–372 (1974).

    Article  Google Scholar 

  22. W. J. Plant, “Effects of wind variability at low wind speed,” J. Geophys. Res. 105, 16899–16910 (2000).

    Article  Google Scholar 

  23. T. Chronis, V. Papadopoulos, and E. I. Nikolopoulos, “QuickSCAT observations of extreme wind events over the Mediterranean and Black seas during 2000–2008,” Int. J. Climatol. 31 (14), 2068–2077 (2011).

    Article  Google Scholar 

  24. A. B. Kara, H. E. Hurlburt, A. J. Wallcraft, and M. A. Bourassa, “Black Sea mixed layer sensitivity to various wind and thermal forcing products on climatological time scales,” J. Clim. 18 (24), 5266–5293 (2005).

    Article  Google Scholar 

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Correspondence to A. V. Garmashov.

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Original Russian Text © A.V. Garmashov, A.A. Kubryakov, M.V. Shokurov, S.V. Stanichny, Yu.N. Toloknov, A.I. Korovushkin, 2016, published in Izvestiya AN. Fizika Atmosfery i Okeana, 2016, Vol. 52, No. 3, pp. 351–360.

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Garmashov, A.V., Kubryakov, A.A., Shokurov, M.V. et al. Comparing satellite and meteorological data on wind velocity over the Black Sea. Izv. Atmos. Ocean. Phys. 52, 309–316 (2016). https://doi.org/10.1134/S000143381603004X

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  • DOI: https://doi.org/10.1134/S000143381603004X

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