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Advances in Atmospheric Sciences

, Volume 34, Issue 1, pp 39–53 | Cite as

Comparison of Beijing MST radar and radiosonde horizontal wind measurements

  • Yufang Tian
  • Daren LüEmail author
Original Paper

Abstract

To determine the performance and data accuracy of the 50 MHz Beijing Mesosphere–Stratosphere–Troposphere (MST) radar, comparisons of radar measured horizontal winds in the height range 3–25 km with radiosonde observations were made during 2012. A total of 427 profiles and 15 210 data pairs were compared. There was very good agreement between the two types of measurement. Standard deviations of difference (mean difference) for wind direction, wind speed, zonal wind and meridional wind were 24.86◦ (0.77◦), 3.37 (−0.44), 3.33 (−0.32) and 3.58 (−0.25) m s−1, respectively. The annual standard deviations of differences for wind speed were within 2.5–3 m s−1 at all heights apart from 10–15 km, the area of strong winds, where the values were 3–4 m s−1. The relatively larger differences were mainly due to wind field variations in height regions with larger wind speeds, stronger wind shear and the quasi-zero wind layer. A lower MST radar SNR and a lower percentage of data pairs compared will also result in larger inconsistencies. Importantly, this study found that differences between the MST radar and radiosonde observations did not simply increase when balloon drift resulted in an increase in the real-time distance between the two instruments, but also depended on spatiotemporal structures and their respective positions in the contemporary synoptic systems. In this sense, the MST radar was shown to be a unique observation facility for atmospheric dynamics studies, as well as an operational meteorological observation system with a high temporal and vertical resolution.

Keywords

MST radar radiosonde horizontal wind measurement comparison and analysis 

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Notes

Acknowledgments

We acknowledge the use of data from the Chinese Meridian Project. This work was supported by National Natural Science Foundation of China (NSFC Project No. 41127901) and the Chinese Meridian Project.

References

  1. Belu, R. G., W. K. Hocking, N. Donaldson, and T. Thayaparan, 2001: Comparisons of CLOVAR windprofiler horizontal winds with radiosondes and CMC regional analyses. Atmos.-Ocean, 39, 107–126.CrossRefGoogle Scholar
  2. Engler, N., W. Singer, R. Latteck, and B. Strelnikov, 2008: Comparison of wind measurements in the troposphere and mesosphere by VHF/MF radars and in-situ techniques. Annales Geophysicae, 26, 3693–3705.CrossRefGoogle Scholar
  3. Fukao, S., T. Sato, N. Yamasaki, R. M. Harper, and S. Kato, 1982: Winds measured by a UHF doppler radar and rawinsondes: Comparisons made on twenty-six days (August-September 1977) at Arecibo, Puerto Rico. J. Appl. Meteor., 21, 1357–1363.CrossRefGoogle Scholar
  4. Hocking, W. K., 1997: System design, signal-processing procedures, and preliminary results for the Canadian (London, Ontario) VHF atmospheric radar. Radio Sci., 32, 687–706.CrossRefGoogle Scholar
  5. Kishore, P., K. K. Reddy, D. N. Rao, P. B. Rao, A. R. Jain, G. V. Rama, and S. Sankar, 2000: A statistical comparison of Indian MST radar and rawinsonde wind measurements. Indian Journal of Radio and Space Physics, 29, 102–114.Google Scholar
  6. Larsen, M. F., 1983: Can a VHF doppler radar provide synoptic wind data? A comparison of 30 days of radar and radiosonde data. Mon. Wea. Rev., 111, 2047–2057.CrossRefGoogle Scholar
  7. Lee, C. F., G. Vaughan, and D. A. Hooper, 2014: Evaluation of wind profiles from the NERC MST radar, Aberystwyth, UK. Atmospheric Measurement Techniques, 7, 3113–3126.CrossRefGoogle Scholar
  8. Li, W., and D. R. Lu, 1998: Preliminary results of atmospheric turbulence observation with Xianghe MST/ST radar. Acta Meteorologica Sinica, 12, 394–399.Google Scholar
  9. Lu, D., and W. Li, 1996: The preliminary results of Beijing MST/ST radar observation. Proceeding of Workshop on Middle Atomsphere and Global Eeviroonmental and Climate Change, Beijing, 42–48.Google Scholar
  10. Luce, H., S. Fukao, M. Yamamoto, C. Sidi, and F. Dalaudier, 2001: Validation of winds measured by MU radar with GPS radiosondes during the MUTSI campaign. J. Atmos. Oceanic Technol., 18, 817–829.CrossRefGoogle Scholar
  11. May, P. T., 1993: Comparison of wind-profiler and radiosonde measurements in the tropics. J. Atmos. Oceanic Technol., 10, 122–127.CrossRefGoogle Scholar
  12. Rao, I. S., V. K. Anandan, and P. N. Reddy, 2008: Evaluation of DBS wind measurement technique in different beam configurations for a VHF wind profiler. J. Atmos. Oceanic Technol., 25, 2304–2312.CrossRefGoogle Scholar
  13. Thomas, L., I. Astin, and R. M. Worthington, 1997: A statistical study of underestimates of wind speeds by VHF radar. Annales Geophysicae, 15, 805–812.CrossRefGoogle Scholar
  14. Tian, Y. F., and D. R. Lu, 2016: Preliminary analysis of Beijing MST radar observation results in the mesosphere-lower thermosphere. Chinese Journal of Geophysics, 59, 440–452. (in Chinese)Google Scholar
  15. Wang, C., 2010: Development of the Chinese meridian project. Chinese Journal of Space Science, 30, 382–384.Google Scholar
  16. Weber, B. L., and D. B. Wuertz, 1990: Comparison of rawinsonde and wind profiler radar measurements. J. Atmos. Oceanic Technol., 7, 157–174.CrossRefGoogle Scholar
  17. Weber, B. L., and Coauthors, 1990: Preliminary evaluation of the first NOAA demonstration network wind profiler. J. Atmos. Oceanic Technol., 7, 909–918.CrossRefGoogle Scholar
  18. Woodman, R. F., and A. Guillen, 1974: Radar observations of winds and turbulence in the stratosphere and mesosphere. J. Atmos. Sci., 31, 493–505.CrossRefGoogle Scholar

Copyright information

© Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  2. 2.University of Chinese Academy of SciencesBeijingChina

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