Experimental determination of UV- and VIS- lidar overlap function

Abstract

This study focuses on the retrieval of lidar overlap functions at two wavelenghts (355 and 532 nm) for the lidar routinely operated at the EARLINET Granada station, placed in the southeastern Iberian Peninsula. For this aim, aerosol backscatter coefficients retrieved from both Raman and elastic lidar signals were used. The method is based on the fact that aerosol backscatter profiles derived from elastic signals suffer from incomplete overlap effect whereas those retrieved from Raman signals are unaffected. This article reports about the reproducibility of the lidar overlap functions under different atmospheric scenarios and also the impact of some features of the iterative process itself.

A new methodology for PBL height estimations based on lidar depolarization measurements: analysis and comparison against MWR and WRF model-based results

“…Therefore, we assume significant differences only for small values of the overlap function. Navas-Guzman et al (2011) and Rogelj et al (2014) retrieve the overlap function of the total signal at 532 nm (sum of parallel and perpendicular channels) by means of the method presented by Wandinger and Ansmann (2002). This study shows that the full-overlap height of MULHACEN is around 0.72 km a.g.l.…”

“…Particularly, the Mellor-Yamada-Nakanishi-Niino level 2.5 model is selected for the PBL parameterization (Nakanishi and Niino, 2009). The parameterizations used for the rest of physical schemes are the Eta (Ferrier) microphysics parameterization scheme (Rogers et al, 2005), the RRTM long-wave radiation parameterization (Mlawer et al, 1997), the Dudhia scheme for short-wave radiation parameterization (Dudhia, 1989), the 5-layer thermal diffusion land surface parameterization (Dudhia, 1996) and, for coarser domains, the Kain-Fritsch (new Eta) cumulus parameterization (Kain, 2004).…”