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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 53, Iss. 20 — Jul. 10, 2014
  • pp: 4386–4397

Effects of spectral discrimination in high-spectral-resolution lidar on the retrieval errors for atmospheric aerosol optical properties

Zhongtao Cheng, Dong Liu, Jing Luo, Yongying Yang, Lin Su, Liming Yang, Hanlu Huang, and Yibing Shen  »View Author Affiliations


Applied Optics, Vol. 53, Issue 20, pp. 4386-4397 (2014)
http://dx.doi.org/10.1364/AO.53.004386


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Abstract

This paper presents detailed analysis about the effects of spectral discrimination on the retrieval errors for atmospheric aerosol optical properties in high-spectral-resolution lidar (HSRL). To the best of our knowledge, this is the first study that focuses on this topic comprehensively, and our goal is to provide some heuristic guidelines for the design of the spectral discrimination filter in HSRL. We first introduce a theoretical model for retrieval error evaluation of an HSRL instrument with a general three-channel configuration. The model only takes the error sources related to the spectral discrimination parameters into account, while other error sources not associated with these focused parameters are excluded on purpose. Monte Carlo (MC) simulations are performed to validate the correctness of the theoretical model. Results from both the model and MC simulations agree very well, and they illustrate one important, although not well realized, fact: a large molecular transmittance and a large spectral discrimination ratio (SDR, i.e., ratio of the molecular transmittance to the aerosol transmittance) are beneficial to promote the retrieval accuracy. More specifically, we find that a large SDR can reduce retrieval errors conspicuously for atmosphere at low altitudes, while its effect on the retrieval for high altitudes is very limited. A large molecular transmittance contributes to good retrieval accuracy everywhere, particularly at high altitudes, where the signal-to-noise ratio is small. Since the molecular transmittance and SDR are often trade-offs, we suggest considering a suitable SDR for higher molecular transmittance instead of using unnecessarily high SDR when designing the spectral discrimination filter. These conclusions are expected to be applicable to most of the HSRL instruments, which have similar configurations as the one discussed here.

© 2014 Optical Society of America

OCIS Codes
(010.1110) Atmospheric and oceanic optics : Aerosols
(010.3640) Atmospheric and oceanic optics : Lidar
(120.2440) Instrumentation, measurement, and metrology : Filters
(280.0280) Remote sensing and sensors : Remote sensing and sensors
(280.3640) Remote sensing and sensors : Lidar
(280.1350) Remote sensing and sensors : Backscattering

ToC Category:
Remote Sensing and Sensors

History
Original Manuscript: April 4, 2014
Manuscript Accepted: May 31, 2014
Published: July 3, 2014

Citation
Zhongtao Cheng, Dong Liu, Jing Luo, Yongying Yang, Lin Su, Liming Yang, Hanlu Huang, and Yibing Shen, "Effects of spectral discrimination in high-spectral-resolution lidar on the retrieval errors for atmospheric aerosol optical properties," Appl. Opt. 53, 4386-4397 (2014)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-53-20-4386


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References

  1. U. Wandinger, “Introduction to lidar,” in Lidar, C. Weitkamp, ed. (Springer, 2005), pp. 1–18.
  2. F. G. Fernald, “Analysis of atmospheric lidar observations: some comments,” Appl. Opt. 23, 652–653 (1984). [CrossRef]
  3. S. T. Shipley, D. H. Tracy, E. W. Eloranta, J. T. Trauger, J. T. Sroga, F. L. Roesler, and J. A. Weinman, “High spectral resolution lidar to measure optical scattering properties of atmospheric aerosols. 1: theory and instrumentation,” Appl. Opt. 22, 3716–3724 (1983). [CrossRef]
  4. J. T. Sroga, E. W. Eloranta, S. T. Shipley, F. L. Roesler, and P. J. Tryon, “High spectral resolution lidar to measure optical scattering properties of atmospheric aerosols. 2: calibration and data analysis,” Appl. Opt. 22, 3725–3732 (1983). [CrossRef]
  5. C. Y. She, R. J. Alvarez Ii, L. M. Caldwell, and D. A. Krueger, “High-spectral-resolution Rayleigh-Mie lidar measurement of aerosol and atmospheric profiles,” Opt. Lett. 17, 541–543 (1992). [CrossRef]
  6. P. Piironen and E. W. Eloranta, “Demonstration of a high-spectral-resolution lidar based on an iodine absorption filter,” Opt. Lett. 19, 234–236 (1994). [CrossRef]
  7. Z. Liu, I. Matsui, and N. Sugimoto, “High-spectral-resolution lidar using an iodine absorption filter for atmospheric measurements,” Opt. Eng. 38, 1661–1670 (1999). [CrossRef]
  8. D. S. Hoffman, K. S. Repasky, J. A. Reagan, and J. L. Carlsten, “Development of a high spectral resolution lidar based on confocal Fabry-Perot spectral filters,” Appl. Opt. 51, 6233–6244 (2012). [CrossRef]
  9. D. Liu, C. Hostetler, I. Miller, A. Cook, and J. Hair, “System analysis of a tilted field-widened Michelson interferometer for high spectral resolution lidar,” Opt. Express 20, 1406–1420 (2012). [CrossRef]
  10. D. Liu, Y. Yang, Z. Cheng, H. Huang, B. Zhang, T. Ling, and Y. Shen, “Retrieval and analysis of a polarized high-spectral-resolution lidar for profiling aerosol optical properties,” Opt. Express 21, 13084–13093 (2013). [CrossRef]
  11. P. B. Russell, T. J. Swissler, and M. P. McCormick, “Methodology for error analysis and simulation of lidar aerosol measurements,” Appl. Opt. 18, 3783–3797 (1979).
  12. F. Rocadenbosch, M. N. Md. Reba, M. Sicard, and A. Comerón, “Practical analytical backscatter error bars for elastic one-component lidar inversion algorithm,” Appl. Opt. 49, 3380–3393 (2010). [CrossRef]
  13. D. Bruneau and J. Pelon, “Simultaneous measurements of particle backscattering and extinction coefficients and wind velocity by lidar with a Mach-Zehnder interferometer: principle of operation and performance assessment,” Appl. Opt. 42, 1101–1114 (2003). [CrossRef]
  14. C.-Y. She, J. Yue, Z.-A. Yan, J. W. Hair, J.-J. Guo, S.-H. Wu, and Z.-S. Liu, “Direct-detection Doppler wind measurements with a Cabannes–Mie lidar: A. Comparison between iodine vapor filter and Fabry–Perot interferometer methods,” Appl. Opt. 46, 4434–4443 (2007). [CrossRef]
  15. Z. Cheng, D. Liu, Y. Yang, L. Yang, and H. Huang, “Interferometric filters for spectral discrimination in high-spectral-resolution lidar: performance comparisons between Fabry-Perot interferometer and field-widened Michelson interferometer,” Appl. Opt. 52, 7838–7850 (2013). [CrossRef]
  16. A. Bucholtz, “Rayleigh-scattering calculations for the terrestrial atmosphere,” Appl. Opt. 34, 2765–2773 (1995). [CrossRef]
  17. J. D. Spinhirne, “Micro pulse lidar,” IEEE Trans. Geosci. Electron. 31, 48–55 (1993).
  18. Z. Liu, P. Voelger, and N. Sugimoto, “Simulations of the observation of clouds and aerosols with the experimental lidar in space equipment system,” Appl. Opt. 39, 3120–3137 (2000). [CrossRef]
  19. M. Esselborn, M. Wirth, A. Fix, M. Tesche, and G. Ehret, “Airborne high spectral resolution lidar for measuring aerosol extinction and backscatter coefficients,” Appl. Opt. 47, 346–358 (2008). [CrossRef]
  20. J. W. Hair, C. A. Hostetler, A. L. Cook, D. B. Harper, R. A. Ferrare, T. L. Mack, W. Welch, L. R. Izquierdo, and F. E. Hovis, “Airborne high spectral resolution lidar for profiling aerosol optical properties,” Appl. Opt. 47, 6734–6752 (2008). [CrossRef]

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