Atmos. Chem. Phys. Discuss., 10, 3423-3456, 2010
www.atmos-chem-phys-discuss.net/10/3423/2010/
doi:10.5194/acpd-10-3423-2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review Status
This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
Detection of dust aerosol by combining CALIPSO active lidar and passive IIR measurements
B. Chen1, J. Huang1, P. Minnis2, Y. Hu2, Y. Yi3, Z. Liu4, D. Zhang1, and X. Wang1
1College of Atmospheric Science, Lanzhou University, Lanzhou, 730000, China
2NASA Langley Research Center, Hampton, VA, 23666, USA
3Science Systems and Applications Incorporated, Hampton, VA, 23666, USA
4National Institute of Aerospace, Hampton, VA, 23666, USA

Abstract. 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. The brightness temperature difference between 10.60 and 12.05 μm (BTD11-12) is typically negative for dense dust and generally positive for ice cloud, but it varies from negative to positive for thin dust layers, which the CALIPSO lidar correctly identifies. Results show that the CLIM method could significantly reduce misclassification rates to as low as ~7% for the active dust season of spring 2008 over the Taklamakan Desert. The CLIM method also revealed 18% more dust layers having greatly intensified backscatter between 1.8 and 4 km altitude over the source region compared to the CALIPSO version 2 data. These results allow a more accurate assessment of the effect of dust on climate.

Citation: Chen, B., Huang, J., Minnis, P., Hu, Y., Yi, Y., Liu, Z., Zhang, D., and Wang, X.: Detection of dust aerosol by combining CALIPSO active lidar and passive IIR measurements, Atmos. Chem. Phys. Discuss., 10, 3423-3456, doi:10.5194/acpd-10-3423-2010, 2010.
 
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