Środowiskowe Seminarium Fizyki Atmosfery

Beyond their impact on air quality affecting health, atmospheric aerosols are a key parameter of the climate. Large uncertainties remain (IPCC, 2013) due to their type versatility, radiative and clouds interactions and their strong variability in space and time. In light of this, a long-term observation is highly required.In 2006, the LOA reinforced sunphotometer observations with two micro-lidars in two contrasted sites : Lille and Dakar. In this work, we analyse these complementary observations at multiple time scale in order to highlight trends and provide a variability estimation. These observations include detection of extreme events (volcanic ash from Eyjafjöll, 2010). The analysis of the unique and large database is based on the development of an automatic algorithm (BASIC) combining vertical profiles and sunphotometer measurements. This work is particularly relevant and of interest in the current and future context of observation systems (ORAURE, Météo France, TOPROF?).Our results are used to provide a better determination of aerosols radiative effect. Our whole database has been used faced to vertical profiles from the CALIOP spaceborne lidar and for a first evaluation of the NMMB/BSC-Dust model in Africa during one year.Finally, we present first results of a mobile ground-based remote sensing system, providing high space resolution capability to monitor aerosol properties, deployed during LAAC campaign (Italy, 2012).