Pakszys, P., Zieliński, T., Posyniak, M., Makuch, P., Petelski, T., Ritter, C., Mateos, D., Mazzola, M., Fererro, L., Neuber, R., and Traversi, R.
Since early July 2017 intense wildfires were recorded over Canada and Greenland, then driven by winds were observed over Svalbard Island. Wildfires are common last years, especially boreal forests fires of Canada during the summertime. This plume of smoke and trace gases could be rank as one of the biggest last years (as big as in 2015). We want present preliminary studies of aerosol properties during long-range transport of biomass burning from Canada and Greenland to Svalbard in July and August 2017. Used of passive and active remote sensing methods, modeling of aerosol optical properties, also simulations of variability of Aerosol Optical Depth (AOD), Single Scattering Albedo (SSA), direct aerosol's forcing (and others) will help to describe this event of Biomass Burning (BB) over Arctic. The wildfire in Greenland was spotted by satellites on 31 July. It was burning about 40 miles from the ice sheet in the western part of Greenland. Higher temperatures combined with summer melting which reveals tundra, facilitate outbreaks of wildfires. At the beginning of July 2017, Canada has experienced a quiet start to the wildfire season with only around 50 % of the 10-year average activity and less than 20 % of average burned area and only three fires had been recorded in British Columbia. The event of the BB aerosols transport was observed between 28 July and 26 August 2017 in Spitsbergen. Using ceilometer we were able to detect multiple layers of aerosols up to 5 km. According to NASA, the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi NPP satellite captured particularly heavy smoke obscuring a wide swath of northern Canada as of August 15 and 16, 2017, which were transported to the Arctic Circle over Greenland. Back trajectory analysis confirms Greenland and Canada wildfires as a source of aerosols. Sources of BB aerosol were determined using data from MODVOLC, an algorithm that uses low spatial resolution (1-km pixel-size) infrared satellite data acquired by the satellite instrument MODIS to map the global distribution of thermal anomalies in near-real-time. [ABSTRACT FROM AUTHOR]