Fu-Liou Gu radiative transfer model used as proxy to evaluate the impact of data processing and different lidar measurement techniques in view of next and current lidar space missions

Abstract

Abstract. In view of the actual or future ground-based networks and space missions involving lidar instruments, we evaluated the comparability of extinction coefficient atmospheric profiles directly retrieved or estimated with different lidar techniques, i. e. Raman and elastic lidar, and different data processing/smoothing for a transported upper atmospheric dust 15 layer and for a cirrus cloud case through Fu-Liou-Gu radiative transfer model net forcing calculations, both at surface and at the top-of-the-atmosphere. The results put in evidence discrepancies up to 7% on net radiative forcing for the case of dust layer case and up to 35% for the cirrus cloud case. The main objective of this analysis is to quantitatively raise awareness on the inconsistences in calculating a significant climatological variable as the aerosol and cloud net radiative forcing due to the large diversification in lidar data measurements. 20

Intercomparison of aerosol measurements performed with multi-wavelength Raman lidars, automatic lidars and ceilometers in the frame of INTERACT-II campaign

“…Therefore, the retrieval of β' profiles must consider the water vapour attenuation. In this study, water vapor correction has been estimated using Fu-Liou-Gu (FLG) radiative transfer model (Gu et al, 2011), in the modified version discussed in Lolli et al (2017b).…”