Atmospheric Chemistry and Physics Discussions www.atmos-chem-phys-discuss.net 1680-7367 1680-7375 10 2 2010 10.5194/acpd-10-3423-2010 http://www.atmos-chem-phys-discuss.net/10/3423/2010/ http://www.atmos-chem-phys-discuss.net/10/3423/2010/acpd-10-3423-2010.html http://www.atmos-chem-phys-discuss.net/10/3423/2010/acpd-10-3423-2010.pdf 3423 3456 2010-02-09 Detection of dust aerosol by combining CALIPSO active lidar and passive IIR measurements B. Chen hjp@lzu.edu.cn J. Huang P. Minnis Y. Hu Y. Yi Z. Liu D. Zhang X. Wang College of Atmospheric Science, Lanzhou University, Lanzhou, 730000, China NASA Langley Research Center, Hampton, VA, 23666, USA Science Systems and Applications Incorporated, Hampton, VA, 23666, USA National Institute of Aerospace, Hampton, VA, 23666, USA The version 2 Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) dust layer detection method, which is based only on lidar measurements, misclassified about 43% dust layers (mainly dense dust layer) as cloud layers over the Taklamakan Desert. To address this problem, a new method was developed by combining the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) and passive Infrared Imaging Radiometer (IIR) measurements. This combined lidar and IR measurement (hereafter, CLIM) method uses the IIR tri-spectral IR brightness temperatures to discriminate between ice cloud and dense dust layers, and lidar measurements alone to detect thin dust and water cloud layers. 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