CALIPSO Lidar Level 3 Aerosol Profile Product: Version 3 Algorithm Design

• Published in: Atmospheric measurement techniques Vol. 11; no. 7; pp. 4129 - 4152
• Main Authors: Tackett, Jason L., Winker, David M., Getzewich, Brian J., Vaughan, Mark A., Young, Stuart A., Kar, Jayanta
• Format: Journal Article
• Language: English
• Published: Langley Research Center European Geosciences Union 17.07.2018; Copernicus GmbH; Copernicus Publications
• Subjects: Aerosol effects; Aerosol extinction; Aerosol optical depth; Aerosols; Aggregation; Airborne particulates; Algorithms; CALIPSO (Pathfinder satellite); Classification; Clouds; Computer Programming And Software; Design and construction; Detection; Earth Resources And Remote Sensing; Errors; Extinction; Filters; Lidar; Mathematical analysis; Mathematical models; Meteorological satellites; Optical analysis; Optical radar; Profiles; Quality; Quality control; Sample rejection; Satellite observation; Satellites; Screening
• ISSN: 1867-1381; 1867-8548; 1867-8548
• DOI: 10.5194/amt-11-4129-2018

The CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) level 3 aerosol profile product reports globally gridded, quality-screened, monthly mean aerosol extinction profiles retrieved by CALIOP (the Cloud-Aerosol Lidar with Orthogonal Polarization). This paper describes the quality screening and averaging methods used to generate the version 3 product. The fundamental input data are CALIOP level 2 aerosol extinction profiles and layer classification information (aerosol, cloud, and clear-air). Prior to aggregation, the extinction profiles are quality-screened by a series of filters to reduce the impact of layer detection errors, layer classification errors, extinction retrieval errors, and biases due to an intermittent signal anomaly at the surface. The relative influence of these filters are compared in terms of sample rejection frequency, mean extinction, and mean aerosol optical depth (AOD). The “extinction QC flag” filter is the most influential in preventing high-biases in level 3 mean extinction, while the “misclassified cirrus fringe” filter is most aggressive at rejecting cirrus misclassified as aerosol. The impact of quality screening on monthly mean aerosol extinction is investigated globally and regionally. After applying quality filters, the level 3 algorithm calculates monthly mean AOD by vertically integrating the monthly mean quality-screened aerosol extinction profile. Calculating monthly mean AOD by integrating the monthly mean extinction profile prevents a low bias that would result from alternately integrating the set of extinction profiles first and then averaging the resultant AOD values together. Ultimately, the quality filters reduce level 3 mean AOD by −24 and −31 % for global ocean and global land, respectively, indicating the importance of quality screening.