Fig. 1. Detection principle of polarization lidar on CALIPSO satellite^[10]

Fig. 2. Calculation steps for inversion of volume spectra based on regularization algorithm^[24]

Fig. 3. Schematic diagram of proposed method to retrieve CCN using multi-wavelength Raman lidar^[26]

Fig. 4. Spectroscopic system and spectrogram of thermometric rotational Raman lidar^[32]. (a) Principle of spectroscopic system; (b) spectrogram

Fig. 5. Raman spectra of three-phase water^[37]

Fig. 6. Power spectra detected by Doppler lidar during rainfall (left: aerosol power spectrum; right: power spectrum generated by raindrops)^[38]

Fig. 7. Technical route of lidar observation for atmospheric column condensation water

Fig. 8. Range square correction signal of laser radar at 1064 nm (THI)

Fig. 9. Cloud bottom parameters obtained by lidar for cloud precipitation potential detection. (a) Temperature; (b) vertical air velocity; (c) water vapor flux

Fig. 10. Technical roadmap for cloud macro- and micro-structure detection