Journal of the Optical Society of Korea

Optical Society of Korea (한국광학회)
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Low Stratospheric Wind Measurement Using Mobile Rayleigh Doppler Wind LIDAR

  • Shu, Zhi-Feng (School of Space and Earth Science, University of Science and Technology of China) ;
  • Dou, Xian-Kang (School of Space and Earth Science, University of Science and Technology of China) ;
  • Xia, Hai-Yun (School of Space and Earth Science, University of Science and Technology of China) ;
  • Sun, Dong-Song (School of Space and Earth Science, University of Science and Technology of China) ;
  • Han, Yan (School of Space and Earth Science, University of Science and Technology of China) ;
  • Cha, Hyunki (Korea Atomic Energy Research Institute) ;
  • Kim, Dukhyeon (Hanbat National University) ;
  • Wang, Guo-Cheng (School of Space and Earth Science, University of Science and Technology of China) ;
  • Baik, Sunghoon (Korea Atomic Energy Research Institute) ;
  • Hu, Dong-Dong (School of Space and Earth Science, University of Science and Technology of China)
  • Received : 2011.12.22
  • Accepted : 2012.03.29
  • Published : 2012.06.25
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Abstract

A mobile Rayleigh Doppler wind LIDAR at an eye-safe wavelength of 355 nm incorporating double-edge technique with triple-channel Fabry-Perot etalon is developed for wind measurement from 5 to 40km. The structure of this LIDAR system is described. An intercomparsion experiment with rawinsonde is made, showing good agreement with expected measurement accuracy. A continuous observation of stratosphere wind field for several days with temporal resolution of 15 min and spatial resolution of 200 m from 5 to 40 km is presented, demonstrating the stability and robustness of the LIDAR. A stratospheric quasi-zero wind layer can be found at around 20 km with a direction change from east to west evident in the continuous observation.

Keywords

References

  1. M. L. Chanin, A. Garnier, A. Hauchecorne, and J. Porteneuve, "A Doppler LIDAR for measuring winds in the middle atmosphere," Geophys. Res. Lett. 16, 1273-1276 (1989). https://doi.org/10.1029/GL016i011p01273
  2. D. Rees and I. S. McDermid, "Doppler LIDAR atmospheric wind sensor: re-evaluation of the 355 nm incoherent Doppler LIDAR," Appl. Opt. 29, 4133-4144 (1990). https://doi.org/10.1364/AO.29.004133
  3. B. Gentry, H. Chen, and D. Starr, "Profiling tropospheric winds with the Goddard LIDAR observatory for winds (GLOW)," in Proc. The 21st International Laser Radar Conference (Quebec, Canada, Jul. 2002), pp. 8-12.
  4. W. E. Baker, G. D. Emmitt, F. Robertson, R. M. Atlas, J. E. Molinari, D. A. Bowdle, J. Paegle, and J. McElroy, "LIDAR-measured winds from space: a key component for weather and climate prediction," Bull. Amer. Meteor. Soc. 76, 869-888 (1995). https://doi.org/10.1175/1520-0477(1995)076<0869:LMWFSA>2.0.CO;2
  5. D. Sun, Z. Zhong, J. Zhou, H. Hu, and T. Kobayashi, "Accuracy analysis of the Fabry-Perot etalon based Doppler wind LIDAR," Opt. Rev. 12, 409-414 (2005). https://doi.org/10.1007/s10043-005-0409-z
  6. H. Xia, D. Sun, Y. Yang, F. Shen, J. Dong, and T. Kobayashi, "Fabry-Perot interferometer based Mie Doppler LIDAR for low tropospheric wind observation," Appl. Opt. 46, 7120-7130 (2007). https://doi.org/10.1364/AO.46.007120
  7. F. Shen, H. Cha, D. Sun, D, Kim, and S. O. Kwon, "Low tropospheric wind measurement with Mie Doppler LIDAR," Opt. Rev. 15, 204-209 (2008). https://doi.org/10.1007/s10043-008-0032-x
  8. I.-K. Song, G.-Y. Kim, S.-H. Baik, S.-K. Park, H.-K. Cha, S.-C. Choi, C.-M. Chung, and D.-H. Kim, "Measurement of aerosol parameters with altitude by using two wave-length rotational Raman signals," J. Opt. Soc. Korea 14, 221-227 (2010). https://doi.org/10.3807/JOSK.2010.14.3.221
  9. Z. Shu, L. Tang, G. Wang, D. Hu, D, Sun, and X. Dou, "Application of triple Fabry-Perot etalon for rayleigh wind LIDAR," Infrared and Laser Engineering 40, 1474-1480 (in Chinese) (2011).
  10. F. Shen, H. Cha, J. Dong, D. Kim, D. Sun, and S. O. Kwon, "Design and performance simulation of a molecular Doppler wind LIDAR," Chinese Optics Letter 7, 593-597 (2009). https://doi.org/10.3788/COL20090707.0593
  11. Z. Shu, L. Tang, J. Dong, F. Shen, D. Sun, X. Dou, and H.-K. Cha, "Performance of the triple Fabry-Perot etalon for wind LIDAR," Acta Optica Sinica 30, 1332-1336 (in Chinese) (2010). https://doi.org/10.3788/AOS20103005.1332
  12. F. Shen, Z. Shu, D. Sun, Z. Wang, X. Xue, T. Chen, and X. Dou, "Improvement of wind retrieval algorithm for Rayleigh Doppler LIDAR," Acta. Phys. Sin. 61, 030702-1-030702-7 (in Chinese) (2012).

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