ACPD Atmospheric Chemistry and Physics Discussions ACPD 1680-7375 Copernicus GmbH Göttingen, Germany 10.5194/acpd-10-3423-2010 Detection of dust aerosol by combining CALIPSO active lidar and passive IIR measurements Chen B. 1 Huang J. 1 Minnis P. 2 Hu Y. 2 Yi Y. 3 Liu Z. 4 Zhang D. 1 Wang X. 1 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 09 02 2010 10 2 3423 3456 This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This article is available from http://www.atmos-chem-phys-discuss.net/10/3423/2010/acpd-10-3423-2010.html The full text article is available as a PDF file from http://www.atmos-chem-phys-discuss.net/10/3423/2010/acpd-10-3423-2010.pdf

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.

 References Ackerman,~S A.: Remote sensing aerosols using satellite infrared observations, J Geophys. Res., 102(D14), \doi10.1029/96JD03066, 17069-17079, 1997. Albrecht,~B A.: Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227–1230, 1989. Chen,~Y., Mao,~X., Huang,~J., Zhang,~H., Tang,~Q., Pan,~H., and Wang,~C.: Vertical distribution characteristics of aerosol during a~long-distance transport of heavy dust pollution, China Environ. Sci., 29(5), 449–454, 2009. Darmenov,~A. and Sokolik,~I N.: Identifying the regional thermal-IR radiative signature of mineral dust with MODIS, Geophys. Res. Lett., 32, L16803, \doi10.1029/2005GL023092, 2005. El-Askary,~H., Gautam,~R., Singh,~R P., and Kafatos,~M.: Dust storms detection over the Indo-Gangetic basin using multi sensor data, Adv. Space Res., 37, 4, 728–733, 2006. Ge,~J., Huang,~J., Weng,~F., and Sun,~W.: Effects of dust storms on microwave radiation based on satellite observation and model simulation over the Taklamakan desert, Atmos. Chem. Phys., 8, 4903–4909, 2008. Generoso,~S., Bey,~I., Labonne,~M., and Br'eon,~F M.: Aerosol vertical distribution in dust outflow over the Atlantic: comparisons between GEOS-Chem and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), J Geophys. Res., 113, D24209, \doi10.1029/2008JD010154, 2008. Huang,~J., Lin,~B., Minnis,~P., Wang,~T., Wang,~X., Hu,~Y., Yi,~Y., and Ayers,~J K.: Satellite-based assessment of possible dust aerosols semidirect effect on cloud water path over East Asia, Geophys. Res. Lett., 33, L19802, \doi10.1029/2006GL026561, 2006a. Huang,~J., Minnis,~P., Lin,~B., Wang,~T., Yi,~Y., Hu,~Y., Sun-Mack,~S., and Ayers,~K.: Possible influences of Asian dust aerosols on cloud properties and radiative forcing observed from MODIS and CERES, Geophys. Res. Lett., 33, L06824, \doi10.1029/2005GL024724, 2006b. Huang,~J., Minnis,~P., Yi,~Y., Tang,~Q., Wang,~X., Hu,~Y., Liu,~Z., Ayers,~K., Trepte,~C., and Winker,~D.: Summer dust aerosols detected from CALIPSO over the Tibetan Plateau, Geophys. Res. Lett., 34, L18805, \doi10.1029/2007GL029938, 2007a. Huang,~J., Ge,~J., and Weng,~F.: Detection of Asia dust storms using multisensor satellite measurements, Remote Sens. Environ., 110, 186–191, 2007b. Huang,~J., Minnis,~P., Chen,~B., Huang,~Z., Liu,~Z., Zhao,~Q., Yi,~Y., and Ayers,~J.: Long-range transport and vertical structure of Asian dust from CALIPSO and surface, J Geophys. Res., 113, D23212, \doi10.1029/2008JD010620, 2008. Huang,~J., Fu,~Q., Su,~J., Tang,~Q., Minnis,~P., Hu,~Y., Yi,~Y., and Zhao,~Q.: Taklamakan dust aerosol radiative heating derived from CALIPSO observations using the Fu-Liou radiation model with CERES constraints, Atmos. Chem. Phys., 9, 4011–4021, 2009. Husar,~R B., Tratt,~D M., Schichtel,~B A., Falke,~S R., Li,~F., Jaffe,~D., Gassó,~S., Gill,~T., Laulainen,~N S., Lu,~F., Reheis,~M C., Chun,~Y., Westphal,~D., Holben,~B N., Gueymard,~C., McKendry,~I., Kuring,~N., Feldman,~G C., McClain,~C., Frouin,~R J., Merrill,~J., DuBois,~D., Vignola,~F., Murayama,~T., Nickovic,~S., Wilson,~W E., Sassen,~K., Sugimoto,~N. and Malm,~W C.: Asian dust events of April 1998, J Geophys. Res., 106(D16), 18317-18330, \doi10.1029/2000JD900788, 2001. Iwasaka,~Y., Minoura,~H., and Nagaya,~K.: The transport and spatial scale of Asian dust-storm clouds: a~case study of the dust-storm event of April 1979, Tellus~B, 35, 189–196, 1983. Kim,~S.-W., Berthier,~S., Raut,~J.-C., Chazette,~P., Dulac,~F., and Yoon,~S.-C.: Validation of aerosol and cloud layer structures from the space-borne lidar CALIOP using a ground-based lidar in Seoul, Korea, Atmos. Chem. Phys., 8, 3705–3720, 2008. Legrand,~M., Bertrand,~J., and Desbois,~M.: Dust clouds over West Africa: a~characterization by satellite data, Ann. Geophys., 3, 777–784, 1985. Legrand,~M. and N'doumé,~C.: Satellite detection of dust using the IR imagery of Meteosat: 1. Infrared difference dust index, J Geophys. Res., 106(D16), 18251-18274, \doi10.1029/2000JD900749, 2001. Liu,~D., Wang,~Z., Liu,~Z., Winker,~D., and Trepte,~C.: A~height resolved global view of dust aerosols from the first year CALIPSO lidar measurements, J Geophys. Res., 113, D16214, \doi10.1029/2007JD009776, 2008. Liu,~Z., Vaughan,~M A., Winker,~D M., Hostetler,~C A., Poole,~L R., Hlavka,~D., Hart,~W., and McGill,~M.: Use of probability distribution functions for discriminating between cloud and aerosol in lidar backscatter data, J Geophys. Res., 109, D15202, \doi10.1029/2004JD004732, 2004. Liu,~Z., Omar,~A., Vaughan,~M., Hair,~J., Kittaka,~C., Hu,~Y., Powell,~K., Trepte,~C., Winker,~D., Hostetler,~C., Ferrare,~R., and Pierce,~R.: CALIPSO lidar observations of the optical properties of Saharan dust: a~case study of long-range transport, J Geophys. Res., 113, D07207, \doi10.1029/2007JD008878, 2008. Liu,~Z., Vaughan,~M., Winker,~D., Kittaka,~C., Getzewich,~B., Kuehn,~R., Omar,~A., Powell,~K., Trepte,~C., and Hostetler,~C.: The CALIPSO lidar cloud and aerosol discrimination: version~2 algorithm and initial assessment of performance, J Atmos. Ocean. Techn., 26, 7, 1198–1213, 2009. Mika,~S., Rätsch,~G., Weston,~J., Schölkopf,~B., and Müller,~K.-R.: Fisher discriminant analysis with kernels, Neural Networks Signal Proc, IEEE, 41–48, 1999. %Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop Murayama,~T., Sugimoto,~N., Uno,~I., Kinoshita,~K., Aoki,~K., Hagiwara,~N., Liu,~Z., Matsui,~I., Sakai,~T., Shibata,~T., Arao,~K., Sohn,~B., Won,~J.-G. Yoon,~S.-C., Li,~T., Zhou,~J., Hu,~H., Abo,~M., Iokibe,~K., Koga,~R., and Iwasaka,~Y.: Ground-based network observation of Asian dust events of April 1998 in east Asia, J Geophys. Res., 106(D16), 18345-18359, \doi10.1029/2000JD900554, 2001. Natsagdorj,~L., Jugder,~D., and Chung,~Y S.: Analysis of dust storms observed in Mongolia during 1937–1999, Atmos. Environ., 37, 1401–1411, 2003. Platt,~C M R., Winker,~D M., Vaughan,~M A., and Miller,~S D.: Backscatter-to-extinction ratios in the top layer of tropical mesoscale convective systems and in isolated cirrus from LITE observations, J Appl. Meteorol., 38(9), 1330–1345, 1999. Roskovensky,~J K. and Liou,~K N.: Detection of thin cirrus from 1.38 \unit\mu m/0.65 \unit\mu m reflectance ratio combined with 8.6–11 \unit\mu m brightness temperature difference, Geophys. Res. Lett., 30, 1985, \doi10.1029/2003GL018135, 2003. Roskovensky,~J K. and Liou,~K N.: Differentiating airborne dust from cirrus clouds using MODIS data, Geophys. Res. Lett., 32, L12809, \doi10.1029/2005GL022798, 2005. Sassen,~K.: Indirect climate forcing over the western US from Asian dust storms, Geophys. Res. Lett., 29, 1465, \doi10.1029/2001GL014051, 2002. Shenk,~W E. and Curran,~R J.: The detection of dust storms over land and water with satellite visible and infrared measurements, Mon. Weather Rev., 102, 830–837, 1974. Slingo,~A., Ackerman,~T P., Allan,~R P., Kassianov,~E I., McFarlane,~S A., Robinson,~G J., Barnard,~J C., Miller,~M A., Harries,~J E., Russell,~J E., and Dewitte,~S.: Observations of the impact of a~major Saharan dust storm on the atmospheric radiation balance, Geophys. Res. Lett., 33, L24817, \doi10.1029/2006GL027869, 2006. Su, J., Huang, J., Fu, Q., Minnis,~P., Ge, J. , and Bi, J.: Estimation of Asian dust aerosol effect on cloud radiation forcing using Fu-Liou radiative model and CERES measurements, Atmos. Chem. Phys., 8, 2763–2771, 2008. Stephens,~G L., Vane,~D G., Boain,~R J., Mace,~G G., Sassen,~K., Wang,~Z., Illingworth,~A J., O'Connor,~E J., Rossow,~W B., Durden,~S L., Miller,~S D., Austin,~R T., Benedetti,~A., Mitrescu,~C., and Team,~T C S.: The CLOUDSAT mission and the A-train, B Am. Meteorol. Soc., 83, 1771–1790, 2002. Tegen,~I.: Modeling the mineral dust aerosol cycle in the climate system, Quat. Sci. Rev., 22, 19, 1821–1834, 2003. Twomey,~S A., Piepgrass,~M., and Wolfe,~T L.: An assessment of the impact of pollution on global cloud albedo, Tellus~B, 36, 356–366, 1984. Uno,~I., Amano,~H., Emori,~S., Kinoshita,~K., Matsui,~I., and Sugimoto,~N.: Trans-Pacific yellow sand transport observed in April 1998: a~numerical simulation, J Geophys. Res., 106(D16), 18331-18344, \doi10.1029/2000JD900748, 2001. Uno,~I., Eguchi,~K., Yumimoto,~K., Takemura,~T., Shimizu,~A., Uematsu,~M., Liu,~Z., Wang,~Z., Hara,~Y., and Sugimoto,~N.: Asian dust transported one full circuit around the~globe, Nat. Geosci., 2, 557–560, \doi10.1038/ngeo583, 2009. Vaughan,~M., Young,~S., Winker,~D., Powell,~K., Omar,~A., Liu,~Z., Hu,~Y., and Hostetler,~C.: Fully automated analysis of space-based lidar data: an overview of the CALIPSO retrieval algorithms and data products, Proc SPIE Int. Soc. Opt. Eng., 5575, 16–30, 2004. Winker,~D M. and Vaughan,~M V.: Vertical distribution of clouds over Hampton, Virginia observed by lidar under the ECLIPS and FIRE ETO programs, Atmos. Res., 34, 117–133, 1994. Winker,~D M., Couch,~R H., and McCormick,~M P.: An overview of LITE: NASA's Lidar In-Space Technology Experiment, Proc. IEEE, 84(2), 164–180, 1996 Winker,~D M., Hunt,~W H., and Hostetler,~C A.: Status and performance of the CALIOP lidar, Proc SPIE Int. Soc. Opt. Eng., 5575, 8–15, 2004. Winker,~D., Pelon,~J., and McCormick,~M.: Initial results from CALIPSO, 23rd International Laser Radar Conference, Nara, Japan, 2006. Winker,~D., Hunt,~W., and McGill,~M.: Initial performance assessment of CALIOP, Geophys. Res. Lett., 34, L19803, \doi10.1029/2007GL030135, 2007. Zhang,~P., Lu,~N M., Hu,~X Q., and Dong,~C H.: Identification and physical retrieval of dust storm using three MODIS thermal IR channels, Global Planet. Change, 52(1–4), 197–206, 2006. Zhang,~X Y., Arimoto,~R., and An,~Z S.: Dust emission from Chinese desert sources linked to variations in atmospheric circulation, J Geophys. Res., 102(D23), 28041-28047, \doi10.1029/97JD02300, 1997.