Open Access
Issue
EPJ Web Conf.
Volume 362, 2026
31st International Laser Radar Conference (ILRC 31) Held Together with the 22nd Coherent Laser Radar Conference (CLRC 22)
Article Number 14004
Number of page(s) 2
Section CLRC Coherent DIAL, DISC and Aerosol Lidar
DOI https://doi.org/10.1051/epjconf/202636214004
Published online 09 April 2026
  1. H. Inokuchi and T. Akiyama, “Performance evaluation of an airborne coherent Doppler lidar and investigation of its practical application”, Trans. Japan Soc. Aero. Space Sci. 65, 47–55 (2022). [Google Scholar]
  2. T. Sakimura, et al., “1.55-μm high-peak, high-average-power laser amplifier using an Er, Yb: glass planar waveguide for wind sensing coherent Doppler lidar.” Opt. Express 27, 24175–24187 (2019). [Google Scholar]
  3. S. Kameyama et al., Compact all-fiber pulsed coherent Doppler lidar system for wind sensing, App. Opt. 46, 1953–1962 (2007). [Google Scholar]
  4. N. Kotake, et al., “Intelligent and compact coherent Doppler lidar with fiber-based configuration for robust wind sensing in various atmospheric and environmental conditions.” Opt. Express 30, 20038–20062 (2022). [Google Scholar]
  5. E. Haraguchi, et al., “ Optical frequency deviation compensation using pulsed serrodyne technique on coherent laser transmitter for wind sensing lidar, ” Appl. Physics Express 12, 052006 (2019). [Google Scholar]
  6. Y. Ito, et al., “Active alignment of receiving beam for coaxial optics in wind sensing coherent Doppler lidar using feedback control based on the processing of heterodyne-detected signal.” App. Opt. 61, 352–361 (2022). [Google Scholar]
  7. M. Imaki, et al., “Wavelength selection and measurement error theoretical analysis on ground-based coherent differential absorption lidar using 1.53 μm wavelength for simultaneous vertical profiling of water vapor density and wind speed,” Appl. Opt. 59, 2238–2247 (2020). [Google Scholar]
  8. M. Imaki, et al., “Demonstration of the 1.53-µm coherent DIAL for simultaneous profiling of water vapor density and wind speed”, Opt. Express, 28, 27078–27096 (2020). [Google Scholar]
  9. M. Imaki, et al., “Validation of Reconstruction Wind Accuracy for Data Assimilation CFD using Doppler Lidar” proceeding of laser sensing symposium in Japanese, (2023). [Google Scholar]
  10. T. Sakai, et al., “Comparison of Lower Tropospheric Water Vapor Vertical Distribution Measured with Raman Lidar and DIAL and The Impact of Data Assimilation in Numerical Weather Prediction Model”, proceedings of the 30th international laser radar conference (2022). [Google Scholar]
  11. S. Yoshida, et al., “Water vapor lidar observation and data assimilation for a moist low-level jet triggering a mesoscale convective system”, Monthly Weather Review (2024). [Google Scholar]

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