Sources, Load, Vertical Distribution, and Fate of Wintertime Aerosols North of Svalbard From Combined V4 CALIOP Data, Ground-Based IAOOS Lidar Observations and Trajectory Analysis

Abstract : We have analyzed aerosol properties at the regional scale over high Arctic north of Svalbard between October 2014 and June 2015 from version 4 (V4) CALIOP (Cloud and Aerosol Lidar with Orthogonal Polarization) space-borne observations and compared results with surface lidar observations from IAOOS (Ice-Atmosphere-Ocean Observing System) platforms. CALIOP data indicate a maximum in aerosol occurrence at the end of winter attributed to low–level (0-2 km) and mid–tropospheric (2-5 km) particles identified in CALIOP V4 product as being mostly of dust origin. Another maximum was observed in October–December attributed to clean marine particles below 2 km and smoke and dust above. The 532 nm aerosol extinction was in the range 1-8 Mm-1 (0–2 km), 1-18 Mm-1 (2–5 km), and 0-6 Mm-1 (5–10 km), a factor 2 lower compared to values previously reported using CALIOP V3 dataset. Aerosols are identified from trajectory analyses to originate mostly from Russia/Europe at all altitudes, and also North America above 2 km, and it is concluded that dust and clean marine types are most probably overrepresented in the analyzed CALIOP dataset. It is proposed that most part of dust types are diamond dust, while part of clean marine are polluted species, as corroborated from co–located polarized lidar IAOOS observations. IAOOS observations allowed confirming the identified sensitivity of CALIOP with a particle backscatter coefficient of ~0.001 km-1sr-1 at 532 nm. For optically thicker layers CALIOP is shown to be a valuable tool to follow transport of aerosol layers in the Arctic and identify their possible modifications.
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Claudia Di Biagio, Jacques Pelon, Gérard Ancellet, Ariane Bazureau, Vincent Mariage. Sources, Load, Vertical Distribution, and Fate of Wintertime Aerosols North of Svalbard From Combined V4 CALIOP Data, Ground-Based IAOOS Lidar Observations and Trajectory Analysis. Journal of Geophysical Research: Atmospheres, American Geophysical Union, 2018, 123 (2), pp. 1363-1383 ⟨10.1002/2017JD027530⟩. ⟨insu-01682118⟩

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