Ceilometer inversion method using water-vapor correction from co-located microwave radiometer

• Main Authors: Bedoya-Velásquez, Andres, Herreras-Giralda, Marcos, Román, Roberto, Wiegner, Matthias, Lefebvre, Sidonie, Toledano, Carlos, Huet, Thierry, Ceolato, Romain
• Other Authors: ONERA / DOTA, Université de Toulouse Toulouse, ONERA-PRES Université de Toulouse, Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Universidad de Valladolid Valladolid (UVa), Ludwig-Maximilians-Universität München (LMU), DOTA, ONERA, Université Paris Saclay Palaiseau, ONERA-Université Paris-Saclay
• Format: Report
• Language: English
• Published: HAL CCSD 2020
• Subjects: Lidar; Lidar retrodiffusion; Aerosol lidar; [SPI]Engineering Sciences [physics]; [PHYS]Physics [physics]; Aerosol Robotic Network
• Online Access: https://hal.archives-ouvertes.fr/hal-02865809; https://hal.archives-ouvertes.fr/hal-02865809/document; https://hal.archives-ouvertes.fr/hal-02865809/file/DOTA20096.1590649307.pdf

Ceilometers are widely spread instruments mainly used for cloud base height determination. However, recent models are more sensitive to aerosols; hence, nowadays there is an increasing interest in these instruments to retrieve aerosol optical and microphysical properties.The high number of them distributed around the globe compared to the robust lidar systems and the fact that ceilometers work under unattended conditions are the main reasons behind this interest. In this paper a new methodology is proposed to retrieve aerosol vertical extinction and backscatter profiles from a Vaisala ceilometer CL51. This methodology is based in two parts: first, a signal pre-processing with a suppression of the dark current and background noises, and a correction of the water vapor absorption using near-real time temperature and absolute humidity (AH) profiles from a co-located Microwave radiometer (MWR). Then an iterative Klett-based algorithm that uses AERONET (AErosol RObotic NETwork) AOD (Aerosol Optical Depth) as an input to retrieve the extinction and backscatter profiles. The error analysis of the aerosol retrievals has been performed between MWR measurements and modelled radiosondes from HYSPLIT. The absolute errors found in temperature and AH are leading to errors in the pre-processed RCS signals up to 9%, and then in particle backscatter and particle extinction coefficients up to 2:2% and 25%, respectively.