Climatological assessment of maritime atmospheric profiles: model-based and LIDAR-based approaches

Kevin McBryde; Stephen Hammel; James Campbell

doi:10.1117/12.2276697

18 September 2017 Climatological assessment of maritime atmospheric profiles: model-based and LIDAR-based approaches

Kevin McBryde, Stephen Hammel, James Campbell

Proceedings Volume 10408, Laser Communication and Propagation through the Atmosphere and Oceans VI; 104080R (2017) https://doi.org/10.1117/12.2276697
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

Local meteorological conditions drive variability of vertical extinction profiles over both short and long timescales. Wind speed and relative humidity, in particular, are associated with production modes for maritime aerosols. We model climatological variability of profiles based upon surface layer historical measurements of meteorological parameters using the International Comprehensive Ocean Atmosphere Data Set (ICOADS). We have generated a database of profiles using a unique methodology, optimizing computational time by computing profiles over a mesh of relative humidity and wind speed. The profiles are weighted and sorted based upon ICOADS data for a region in southern California coastal waters. Climatological vertical extinction profiles based on this methodology are computed using the aerosol model LEEDR and compared with a new database of space-based LIDAR profiles from the CALIOP instrument aboard NASA’s CALIPSO satellite. We also compare Aerosol Optical Depth (AOD) among CALIOP, LEEDR, and the Aerosol Robotic Network (AERONET), a network of ground-based sun photometers. We discuss agreement and discrepancies among the three datasets.

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Kevin McBryde, Stephen Hammel, and James Campbell "Climatological assessment of maritime atmospheric profiles: model-based and LIDAR-based approaches", Proc. SPIE 10408, Laser Communication and Propagation through the Atmosphere and Oceans VI, 104080R (18 September 2017); https://doi.org/10.1117/12.2276697

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KEYWORDS

Atmospheric modeling

Data modeling

Aerosols

Databases

Climatology

Clouds

Ocean optics

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