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Aerosol classification products from the NASA Langley Research  Center (LaRC) airborne High Spectral Resolution Lidar (HSRL-1) on  the NASA B200 aircraft are compared with coincident V3.01 aerosol  classification products from the Cloud-Aerosol Lidar with Orthogonal  Polarization (CALIOP) instrument on the CALIPSO  satellite. For CALIOP, aerosol classification is a key input to the  aerosol retrieval, and must be inferred using aerosol  loading-dependent observations and location information. In  contrast, HSRL-1 makes direct measurements of aerosol intensive  properties, including the lidar ratio, that provide information on  aerosol type. In this study, comparisons are made for 109  underflights of the CALIOP orbit track. We find that 62% of the  CALIOP marine layers and 54% of the polluted continental layers  agree with HSRL-1 classification results. In addition, 80% of  the CALIOP desert dust layers are classified as either dust or dusty  mix byHSRL-1. However, agreement is less for CALIOP smoke  (13%) and polluted dust (35%) layers. Specific case  studies are examined, giving insight into the performance of the  CALIOP aerosol type algorithm. In particular, we find that the  CALIOP polluted dust type is overused due to an attenuation-related  depolarization bias. Furthermore, the polluted dust type frequently  includes mixtures of dust plus marine aerosol. Finally, we find that  CALIOP's identification of internal boundaries between different  aerosol types in contact with each other frequently do not reflect  the actual transitions between aerosol types accurately. Based on  these findings, we give recommendations which may help to improve  the CALIOP aerosol type algorithms

Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask