The city of Comodoro Rivadavia, in the province of Chubut, is located on the shores of the Argentinean Sea, in the central zone of the San Jorge Basin. Its climate is arid with little rainfall. In this work, the aerosol optical data of the aerosols of the AERONET/NASA network station that is installed in the monitoring station (45,792o S; 67,463o W) of the General Enrique Mosconi International Airport are analyzed statistically and correlated the wind direction resultsthat affect the city by 2015. It is mostly affected by winds from the West quadrant from the mountain range, and windsfrom the East quadrant from the sea. These two wind directions cause transport of two types of aerosols: marine and dust. To exemplify the characteristics of the aerosols mobilized by these two wind directions, the measurements of the solar photometer are studied for January 21th and 22th, 2015. The optical characteristics of the suspended aerosols in the atmosphere are determined for those days.

On April 20th, 2017, a new sunphotometer of the AERONET - NASA network was installed inPilar, province of Cordoba, at the dependencies of the National Meteorological Service in order to measure the aerosol load of the region and especially to detect the biomass burning events that affect the center and north of the territory, and subsequently arrive to the province of Buenos Aires and La Pampa due to the wind transport. Afterinstalling this new instrument, the network has now 7 sunphotometerin the country, performing sistematic measurements. The first equipment was installed at CEILAP-UNIDEF (MINDEF-CONICET) - CITEDEF, on October 17th, 1999 in Buenos Aires. In this work the results obtained from a statistical analysis of the measurements from the 7 active stations are presented: CEILAP-BA, CEILAP-RG, CEILAP-Comodoro, CEILAP-Bariloche, CEILAP-Neuquen, Trelew and Pilar-Cordoba, to determine the monthly averaged values, aerosol optical depth tendencies, Angstrom coefficient and classification of the typical aerosol-suspended type for each station.

LiRIC is an inversion procedure frequently used in the EARLINET network that is able to obtain vertical aerosol concentration profiles, using measurements from two instruments: Lidar and sun photometer. In this paper, we propose a reimplementation of that algorithm in the free language Python. We also did some synthetic scenarios studies which shows the robustness and the proper functioning of the tool. Finally, we proceeded with a study in a real case scenario, under a registered event of biomass burning in the monitoring station of Villa Martelli.