ESTONIAN ACADEMY
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Estonian Journal of Engineering

Outlook for wind measurement at Estonian automatic weather stations; 234-251

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Authors
Sirje Keevallik, Tarmo Soomere, Riina Pärg, Veera Žukova

Abstract
A preliminary analysis of the compatibility of wind properties obtained from continuous high-resolution recordings at automatic stations and traditional wind data (obtained by means of averaging the wind speed over a 10-minute interval and the wind direction over a 2-minute interval once in every 3 hours) has been carried out. Both wind speed data sets represent the same data population. The distribution of the differences between individual wind speed observations is non-Gaussian. The difference of estimates of the average wind speed is negligible for time scales of several weeks or longer. The shape parameter of the Weibull distribution for wind speeds is found to depend on the threshold for calm situations; it is close to 2 when wind speeds under 0.5 m/s are treated as calm. This choice also leads to a reasonable match of the corresponding wind roses.
References

 1. Handbook of the Climate of the USSR. Gidrometeoizdat, Leningrad, 1966 (in Russian).

 2. Troen, I. and Petersen, E. L. European Wind Atlas. Risø National Laboratory, Denmark, 1989.

 3. Kull, A. Eesti tuuleatlas. Magistritöö, Geograafia Instituut, Tartu Ülikool, Tartu, 1996.

 4. Launiainen, J. and Saarinen, J. Examples of comparison of wind and air-sea interaction characteristics on the open sea and in the coastal area of the Gulf of Finland. Geophysica, 1982, 19, 33–46.

 5. Niros, A., Vihma, T. and Launiainen, J. Marine meteorological conditions and air-sea exchange processes over the Northern Baltic Sea in 1990s. Geophysica, 2002, 38, 59–87.

 6. Keevallik, S. Possibilities of reconstruction of the wind regime on Tallinn Bay. Proc. Estonian Acad. Sci. Eng., 2003, 9, 209–219.

 7. WMO Guide to Meteorological Instruments and Methods of Observation, 7th ed. WMO-No. 8. Geneva, 2006.

 8. Lauriainen, J. and Laurila, T. Marine wind characteristics in the Northern Baltic Sea. Finn. Marine Res., 1984, 250, 52–86.

 9. Mass, C. F., Ovens, D., Westrick, K. and Colle, B. A. Does increasing horizontal resolution produce more skilful forecasts? Bull. Am. Meteorol. Soc., 2002, 83, 407–430.

doi:10.1175/1520-0477(2002)083<0407:DIHRPM>2.3.CO;2

10. Ottl, D., Almbauer, R. A. and Sturm, P. J. A new method to estimate diffusion in stable, low wind conditions. J. Appl. Meteorol., 2001, 40, 259–268.

doi:10.1175/1520-0450(2001)040<0259:ANMTED>2.0.CO;2

11. Tomson, T. and Hansen, M. Seasonal wind stability on the West Estonian coast. Proc. Estonian Acad. Sci. Eng., 2001, 7, 212–221.

12. Gadian, A., Dewsbury, J., Featherstone, F., Levermore, J., Morris, K. and Sanders, C. Directional persistence of low wind speed observations. J. Wind Eng. Industr. Aerodyn., 2004, 92, 1061–1074.

doi:10.1016/j.jweia.2004.05.007

13. Bivona, S., Burlon, R. and Leone, C. Hourly wind speed analysis in Sicily. Renewable Energy, 2003, 28, 1371–1385.

doi:10.1016/S0960-1481(02)00230-6

14. Deaves, D. M. and Lines, I. G. On the fitting of low mean windspeed data to the Weibull distribution. J. Wind Eng. Industr. Aerodyn., 1997, 66, 169–178.

doi:10.1016/S0167-6105(97)00013-5

15. Scientific-practical Handbook of the Climate of the USSR, Part 3. Gidrometeoizdat, Leningrad, 1990 (in Russian).

16. Manual for Hydrometeorological Stations and Posts. Gidrometeoizdat, Leningrad, 1985 (in Russian).

17. Wind Vane WAV 151: User’s Guide. Väisälä, 2002.

18. Anemometer WAA 151: User’s Guide. Väisälä, 2002.

19. Soomere, T. and Keevallik, S. Anisotropy of moderate and strong winds in the Baltic Proper. Proc. Estonian Acad. Sci. Eng., 2001, 7, 35–49.

20. Soomere, T. Extreme wind speeds and spatially uniform wind events in the Baltic Proper. Proc. Estonian Acad. Sci. Eng., 2001, 7, 195–211.

21. Chakravarti, I. M., Laha, R. G. and Roy, J. Handbook of Methods of Applied Statistics, Vol. I. Wiley, New York, 1967.

22. Lehmann, E. L. Nonparametric Statistical Methods Based on Ranks. McGraw-Hill, New York, 1975.

23. Conradsen, K. and Nielsen, L. B. Review of Weibull statistics of estimation of wind speed distribution. J. Climate Appl. Meteorol., 1984, 23, 1173–1183.

doi:10.1175/1520-0450(1984)023<1173:ROWSFE>2.0.CO;2

24. Soomere, T. and Keevallik, S. Directional and extreme wind properties in the Gulf of Finland. Proc. Estonian Acad. Sci. Eng., 2003, 9, 73–90.

25. Coelingh, J. P., van Wijk, A. J. M., Cleijne, J. W. and Pleune, R. Description of the north-sea wind climate for wind energy applications. J. Wind Eng. Industr. Aerodyn., 1992, 39, 221–232.

doi:10.1016/0167-6105(92)90548-O

26. Coelingh, J. P., van Wijk, A. J. M. and Holtslag, A. A. M. Analysis of wind speed observations over the North Sea. J. Wind Eng. Industr. Aerodyn., 1996, 61, 51–69.

doi:10.1016/0167-6105(96)00043-8

27. Conover, W. J. Practical Nonparametric Statistics. Wiley, New York, 1980.

28. Deaves, D. M. and Lines, I. G. The nature and frequency of low wind speed conditions. J. Wind Eng. Industr. Aerodyn., 1998, 73, 1–29.

doi:10.1016/S0167-6105(97)00278-X

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