During an exceptionally warm September of2016, the unique, stable weather conditions overPoland allowed for an extensive testing of the newalgorithm developed to improve the MeteosatSecond Generation (MSG) Spinning EnhancedVisible and Infrared Imager (SEVIRI) aerosoloptical depth (AOD) retrieval. The developmentwas conducted in the frame of the ESA-ESRINSAMIRA project. The new AOD algorithm aimsat providing the aerosol optical depth maps overthe territory of Poland with a high temporalresolution of 15 minutes. It was tested on the dataset obtained between 11-16 September 2016,during which a day of relatively cleanatmospheric background related to an Arctic air-mass inflow was surrounded by a few days withwell increased aerosol load of different origin. Onthe clean reference day, for estimating surfacereflectance the AOD forecast available on-line viathe Copernicus Atmosphere Monitoring Service(CAMS) was used. The obtained AOD maps werevalidated against AODs available within thePoland-AOD and AERONET networks, and withAOD values obtained from the PollyXT-UW lidar.of the University of Warsaw (UW).

Validation of new satellite Aerosol Optical Depth retrieval algorithm using Raman LIDAR observations at Radiative Transfer Laboratory in Warsaw. Available from: https://www.researchgate.net/publication/314239995_Validation_of_new_satellite_Aerosol_Optical_Depth_retrieval_algorithm_using_Raman_LIDAR_observations_at_Radiative_Transfer_Laboratory_in_Warsaw [accessed Oct 10 2017].