The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm

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Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing (2015, methodology): “Fusing data from multiple sources (e.g., AERONET, CALIPSO, POLDER, MISR and AATSR) is another promising direction for enhanced atmospheric correction solutions.”
The CALIPSO Lidar Cloud and Aerosol Discrimination: Version 2 Algorithm and Initial Assessment of Performance (2009, background): “The lidar ratio for water clouds is ;18 sr (Pinnick et al. 1983).”
Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask (2013, neutral): “The types are described by Omar et al. (2009) with updates for V3.”
Fully Automated Detection of Cloud and Aerosol Layers in the CALIPSO Lidar Measurements (2009, methodology): “The analyses subsequently applied to identify different aerosol types are outlined by Omar et al. (2009).”
A Multisensor Perspective on the Radiative Impacts of Clouds and Aerosols (2013, methodology): “Aerosol species and vertical distribution are extracted from the CALIPSO vertical feature mask described in detail by Omar et al. (2009).”
Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms (2009, methodology): “The typing algorithm is a decision tree that performs a number of tests using layer-averaged depolarization and 532-nm attenuated back-scatter to attempt to identify aerosol as one of the six deﬁned types (Omar et al. 2009).”