Publications: 2011

2011

• Bacmeister, J. T., and G. L. Stephens, 2011: Spatial statistics of likely convective clouds in CloudSat data. Journal of geophysical research. 116, no. D4, (2011): D04104.

• Baran A.J., R. Cotton, C. Lee, A. Bodas-Salcedo, 2011: Simulating the equivalent radar reflectivity of cirrus at 94 GHz using an ensemble model of cirrus ice crystals: A test of the Met Office global numerical weather prediction model. Quarterly Journal of the Royal Meteorological Society, v137 n659 (2011 07 01): 1547-1560.

• Barker, H.W., Jerg, M.P., Wehr, T., Kato, S., Donovan, D.P., Hogan, R.J., A 3D cloud-construction algorithm for the EarthCARE satellite mission, Quarterly Journal of the Royal Meteorological Society (0035-9009), April 2011. Vol.137,Iss.657;p.1042-1058.

• Barker, H. W., S. Kato, and T. Wehr, 2011: Computation of Solar Radiative Fluxes by 1D and 3D Methods using Cloudy Atmospheres Inferred from A-train Satellite Data. Surveys in Geophys.

• Berry, E., Investigating Cirrus cloud behavior using A-train and geostationary satellite data, M.S. Thesis, Department of Atmospheric Science, University of Utah, available at: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/367

• Bodas-Salcedo A, Webb M. J., Bony S., Chepfer H., Dufresne J.L., Klein S., Zhang Y., Marchand R., Haynes J.M., Pincus R., John V.O., 2011: COSP: satellite simulation software for model assessment , Bull. Am. Meteorol. Soc.

• Candlish, L., An investigation of atmospheric temperature, humidity and cloud detection technique over the Arctic marine cryosphere, M.S. Thesis, Department of Environment and Geology, University of Manitoba, available at: http://hdl.handle.net/1993/4489.

• Casey, S. P., E. J. Fetzer, and B. H. Kahn, 2011: Revised identification of tropical oceanic cumulus congestus as viewed by CloudSat, Atmos. Chem. Phys. Discuss., 11, 14883-14902.

• Cermak, J. and J. Bendix, 2011: Detecting ground fog from space - a microphysics-based approach, International Journal of Remote Sensing, 32, no. 12 (2011): 3345-3371.

• Cetrone, J., and R. A. Houze, Jr., 2011: Leading and trailing anvil clouds of West African squall lines. J. Atmos. Sci., 68, pp. 1114-1123.

• Chae, J.H., D. L. Wu, W. G. Read, and S. C. Sherwood, The role of tropical deep convective clouds on temperature, water vapor, and dehydration in the tropical tropopause layer (TTL), Atmos. Chem. Phys., 11, 3811-3821, 2011, doi:10.5194/acp-11-3811-2011.

• Chan, Mark Aaron., Comiso, Josefino C., 2011: Cloud features detected by MODIS but not by CloudSat and CALIOP , Geophys. Res. Lett., Vol. 38, No. 24, L24813.

• Chen, Ruiyue, Li, Zhanqing, Kuligowski, Robert J., Ferraro, Ralph, Weng, Fuzhong, 2011: A study of warm rain detection using A-Train satellite data , Geophysical Research Letters, Volume 38, Issue 4, CiteID L04804, February 2011.

• Chen, W.-T., C. Woods, J.-L. Li, D. Waliser, J.-D. Chern, W.-K. Tao, J. Jiang, and A. Tompkins (2011), Partitioning CloudSat Ice Water Content for Comparison with Upper-Tropospheric Ice in Global Atmospheric Models , J. Geophys. Res., Volume 116, Issue D19, October 2011.

• Cheng, A., and K.-M. Xu (2011), Improved low-cloud simulation from a multiscale modeling framework with a third-order turbulence closure in its cloud-resolving model component, J. Geophys. Res., 116, D14101, doi:10.1029/2010JD015362.

• Choi, H.J., Characterization of properties and spatiotemporal fields of mineral aerosol and its radiative impact using CALIPSO data in conjunction with A-Train satellite and ground-based observations and modeling, Ph.D. Thesis, School of Earth and Atmospheric Sciences, Georgia Institute of Technology, available at: http://hdl.handle.net/1853/41105.

• Christensen, M. W., and G. L. Stephens (2011), Microphysical and macrophysical responses of marine stratocumulus polluted by underlying ships: Evidence of cloud deepening , J. Geophys. Res., 116, D03201.

• Delanoë., Hogan R. J., Forbes R. M., Bodas-Salcedo A. and T. H. M. Stein, 2010. Evaluation of ice cloud representation in the ECMWF and UK Met Office models using CloudSat and Calipso. Quart. J. Roy Meteorol. Soc., v137 n661 (2011 10 01): 2064-2078.

• Delanoe, J. and R. J. Hogan, 2011: Combined CloudSat-CALIPSO-MODIS retrievals of the properties of ice clouds. Journal of geophysical research. 116, no. D4, (2011): D00H29.

• Delanoe J., Hogan R.J., Stein T.H.M., Forbes R.M., Bodas-Salcedo A., Evaluation of ice cloud representation in the ECMWF and UK Met Office models using CloudSat and CALIPSO data, Quarterly Journal of the Royal Meteorological Society, v137 n661 (2011 10 01): 2064-2078.

• Del Genio, A.D., 2011: Representing the sensitivity of convective cloud systems to tropospheric humidity in general circulation models. Geophysics.

• Del Genio, A.D., Y. Chen, D. Kim and M.-S. Yao, 2011: The MJO transition from shallow to deep convection in CloudSat/CALIPSO data and GISS GCM simulations. J. Climate, 25, 3755–3770.

• Devasthale A., Thomas M.A., Sensitivity of cloud liquid water content estimates to the temperature-dependent thermodynamic phase: A global study using cloudsat data, Journal of Climate, v25 n20 (2012 10 01): 7297-7307.

• Durden, S. L., Tanelli, S., Dobrowalski, G., 2011: CloudSat W-Band Radar Measurements of Surface Backscatter, EEE Geoscience and Remote Sensing Letters (1545-598X), May 2011. Vol.8,Iss.3;p.401-405.

• Eikenberg, S., K. Fröhlich, A. Seifert, S. Crewell, M. Mech:, 2011: Evaluation of ice and snow content in the global numerical weather prediction model GME with CloudSat. Geoscientific Model Development Discussions, v4 n1 (20110225): 419-443.

• Evans, S. M., R. T. Marchand, T. P. Ackerman, N. Beagley, 2012: Identification and Analysis of Atmospheric States and Associated Cloud Properties for Darwin, Australia, JGR., Volume 117, Issue D6, March 2012.

• Field, P.R., A. Bodas-Salcedo, M.E. Brooks, 2011: Using model analysis and satellite data to assess cloud and precipitation in midlatitude cyclones. Quarterly Journal of the Royal Meteorological Society, v137 n659 (2011 07 01): 1501-1515.

• Gong, J., and Wu, D.L., CloudSat-constrained cloud ice water path and cloud top height retrievals from MHS 157 and 183 GHz radiances, Atmospheric Measurement Technique Discussion, v 6, n 5, (20130904) p 8187-8233.

• Govekar, P. D., C. Jakob, M. J. Reeder, and J. Haynes (2011), The three-dimensional distribution of clouds around Southern Hemisphere extratropical cyclones, Geophys. Res. Lett., 38, L21805, doi:10.1029/2011GL049091.

• Guignard, A., C.J. Stubenrauch, R. Armante, A.J. Baran: Bulk microphysical properties of semi transparent cirrus from AIRS: A six years global climatology and statistical analysis in synergy with CALIPSO and CloudSat. Atmospheric Chemistry and Physics Discussions, v11 n9 (2011 09 09): 24671-24725.

• Hagihara, Y, H. Okamoto, R. Yoshida, 2011: Development of a combined CloudSat-CALIPSO cloud mask to show global cloud distribution. Journal of geophysical research. 116, no. D4, (2011): D00H33.

• Han Ding, Yan Wei, Ren Jian-qi, Zhao Xian-bin. Cloud type classification algorithm for CloudSat satellite based on Support Vector Machine[J]. Trans. Atmos. Sci., 2011,34(5):583-591.

• Haynes, J. M., C. Jakob, W. B. Rossow, G. Tselioudis, and J. Brown, 2011: Major characteristics of Southern Ocean cloud regimes and their effects on the energy budget, J. Clim., accepted for publication.

• Henderson, D. S., A new look at the Earth's radiation balance from an A-train observational perspective, M.S. Thesis, Department of Atmospheric Science, Colorado State University, available at: gradworks.umi.com/14/83/1483924.html

• Heymsfield,A.J., G. Thompson, H. Morrison, A. Bansemer, R. Rasmussen, P. Minnis, Z. Wang, and D. Zhang. Formation and Spread of Aircraft-Induced Holes in Clouds , Science 1 July 2011: 77-81.

• Hiley, Michael J., Kulie, Mark S., Bennartz, Ralf. Uncertainty analysis for CloudSat snowfall retrievals, Journal of Applied Meteorology and Climatology (1558-8424), February 2011. Vol.50,Iss.2;p.399-418.

• Igel, Matthew R., A tropical radiation and cloud system feedback modulated by sea surface temperature, M.S. Thesis, Department of Atmospheric Science, Colorado State University, available at: http://hdl.handle.net/10217/70405.

• Jiang X., Waliser D. E., Li J.-L., Woods C., 2011: Vertical cloud structures of the boreal summer intraseasonal variability based on CloudSat observations and ERA-interim reanalysis, Climate Dynamics, v36 n11-12 (2011 06 01): 2219-2232.

• Johnston, M. Satellite measurements and climate modelling of water in the tropical upper troposphere, Licentiate Thesis, Department of Radio and Space Science, Chalmers University of Technology, available at: http://publications.lib.chalmers.se/publication/151444-satellite-measurements-and-climate-modelling-of-water-in-the-tropical-upper-troposphere.

• Josset, D., R Rogers, J Pelon, Y Hu, Z Liu, A Omar, PW Zhai, CALIPSO lidar ratio retrieval over the ocean , Optics express, 2011 Sep 12; 19(19): 18696-706.

• Josset, D; Tanelli, S.; Hu,Y.; Pelon, J.; Zhai, Analysis of water vapor correction for clouds at W-Band Radar. P. IEEE Trans on Geoscience and Remote Sensing, 51, n 7, Part 1, (2013) p 3812-3825.

• Justo, Leonardo Abreu Justo and Franca, Jose Ricardo de Almeida, 2011: Studies of Synoptic and Microphysical Processes Associated with a Frontal System that Hit the Extreme South of Brazil (Rio Grande do Sul) and Uruguay, Anuario do Instituto de Geociencias (UFRJ), Vol. 34, 2/2011, pp 70-83, ISSN 0101-9759.

• Kato, S., F. G. Rose, S. Sun-Mack, W. F. Miller, Y. Chen, D. A. Rutan, G. L. Stephens, N. G. Loeb, P. Minnis, B. A. Wielicki, D. M. Winker, T. P. Charlock, P. W. Stackhouse, K.-M. Xu, and W. Collins, 2011: Improvements of top-of-atmosphere and surface irradiance computations with CALIPSO-, CloudSat-, and MODIS-derived cloud and aerosol properties. J. Geophys. Res., 116, D19209.

• Knippertz, P., Fink, A. H., Schuster, R., Trentmann, J., Schrage, J. M., Yorke, C., 2011: Ultra-low clouds over the southern West African monsoon region. Geophys. Res. Lett., 38, L21808.

• Kim, Sang-Woo, Chung, Eui-Seok, Yoon, Soon-Chang, Sohn, Byung-Ju, Sugimoto, Nobuo, Intercomparisons of cloud-top and cloud-base heights from ground-based Lidar, CloudSat and CALIPSO measurements, International Journal of Remote Sensing (0143-1161), February 2011. Vol.32,Iss.4;p.1179-1197.

• Kubar, Terence L., Waliser, Duane E., Li, J.-L. Boundary layer and cloud structure controls on tropical low cloud cover using A-Train satellite data and ECMWF analyses, Journal of Climate (0894-8755), January 2011. Vol.24,Iss.1;p.194-215.

• Lang, S.E., Wei-Kuo Tao, Xiping Zeng, and Yaping Li, Reducing the Biases in Simulated Radar Reflectivities from a Bulk Microphysics Scheme: Tropical Convective Systems, Journal of the Atmospheric Sciences, Volume 68, Issue 10 (October 2011) pp. 2306-2320.

• Lebsock, Matthew D., L'ecuyer, Tristan S., Stephens, Graeme L., Detecting the ratio of rain and cloud water in low-latitude shallow marine clouds, Journal of Applied Meteorology and Climatology (1558-8424),February 2011. Vol.50,Iss.2;p.419-432.

• Lebsock, M. and T. S. L'Ecuyer, 2011: The retrieval of warm rain from CloudSat, recently accepted in J. Appl. Meteor. and Climatol.

• Lee, Jeonghoon, J. Worden, D. Noone, J. Adkins, K. Bowman, A. Eldering, A. LeGrande, Jui-Lin F. Li, and G. Schmidt, 2011: Relating tropical ocean clouds to moist processes using water vapor isotope measurements, Atmospheric Chemistry and Physics Discussions.

• Leinonen, Jussi, Moisseev, Dmitri, Chandrasekar, V., Koskinen, Jarkko, Mapping Radar Reflectivity Values of Snowfall Between Frequency Bands, IEEE Transactions on Geoscience and Remote Sensing (0196-2892), March 24, 2011.

• Li, Jiming, Yi, Yuhong, Minnis, Patrick, Huang, Jianping, Yan, Hongru, Ma, Yuejie, Wang, Wencai, Kirk Ayers, J. Radiative effect differences between multi-layered and single-layer clouds derived from CERES, CALIPSO, and CloudSat data, Journal of Quantitative Spectroscopy and Radiative Transfer (0022-4073), January 2011. Vol.112,Iss.2;p.361-375.

• Li, W. and C. Schumacher, Thick Anvils as Viewed by the TRMM Precipitation Radar, Journal of Climate, 24, no. 6 (2011): 1718-1735.

• Li, J.-L. F., D. E. Waliser, and J. H. Jiang (2011), Correction to “Comparisons of satellites liquid water estimates to ECMWF and GMAO analyses, 20th century IPCC AR4 climate simulations, and GCM simulations”, Geophys. Res. Lett., 38, L24807.

• Liang, Calvin K. A Multi-Sensor Perspective on the Tropical Interannual Variability of Humidity and Clouds, Ph.D. Thesis, Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, available at: http://gradworks.umi.com/34/93/3493507.html

• Luo, Yali, Zhang, Renhe, Qian, Weimiao, Luo, Zhengzhao, Hu, Xin, Intercomparison of deep convection over the Tibetan Plateau-Asian monsoon region and subtropical North America in boreal summer using CloudSat/CALIPSO data, Journal of Climate (0894-8755), April 2011. Vol.24,Iss.8;p.2164-2177.

• Ma, D. and Z. Kuang, 2011: Modulation of radiative heating by the Madden-Julian Oscillation and convectively coupled Kelvin waves as observed by CloudSat. Geophysical Research Letters, v38 n21 (2011 11 18).

• Mecikalski, J.R., P D Watts, M Koenig, Use of Meteosat Second Generation optimal cloud analysis fields for understanding physical attributes of growing cumulus clouds, Atmospheric Research, v102 n1-2 (201110): 175-190.

• Minnis, P., S. Sun-Mack, Y. Chen, M. M. Khaiyer, Y. Yi, J. K. Ayers, R. R. Brown, X. Dong, S. C. Gibson, P. W. Heck, B. Lin, M. L. Nordeen, L. Nguyen, R. Palikonda, W. L. Smith, Jr., D. A. Spangenberg, Q. Z. Trepte, and B. Xi, 2011: CERES Edition-2 cloud property retrievals using TRMM VIRS and Terra and Aqua MODIS data, Part II: Examples of average results and comparisons with other data. IEEE Trans. Geosci. Remote Sens., 49, 11.

• Molthan, Andrew L., Petersen, Walter A., Incorporating ice crystal scattering databases in the simulation of millimeter-wavelength radar reflectivity, Journal of Atmospheric and Oceanic Technology (0739-0572), March 2011. Vol.28,Iss.3;p.337-351.

• Nair, Anish Kumar M., Rajeev, K., Sijikumar, S., and Meenu, S.: Characteristics of a persistent pool of inhibited cloudiness and its genesis over the Bay of Bengal associated with the Asian summer monsoon, Ann. Geophys., 29, 1247-1252, 2011.

• Nam, C. (2011). Using CALIPSO and CloudSat satellite retrievals to evaluate low-level cloud parameterizations in ECHAM5 for cloud-climate feedback implications. PhD Thesis, University of Hamburg, Hamburg. Available at: http://hdl.handle.net/11858/00-001M-0000-0012-3EF9-C.

• Noh, Y.-J., C. Seaman, T. Vonder Haar, D. Hudak, and P. Rodriguez (2011), Comparisons And Analyses Of Aircraft And Satellite Observations For Wintertime Mixed-Phase Clouds, J. Geophys. Res., Volume 116, Issue D18, September 2011.

• Notarnicola, C., D.D. Rosa., F. Posa: Cross-Comparison of MODIS and CloudSat Data as a Tool to Validate Local Cloud Cover Masks. Atmosphere, v2 n3 (20110922): 242-255.

• Oreopoulos, L. and W. B. Rossow, 2011: The cloud radiative effects of International Satellite Cloud Climatology Project weather states, J. Geophys. Res., 116, D12202.

• Oreopoulos, L., and P. M. Norris, 2011: An analysis of cloud overlap at a midlatitude atmospheric observation facility. Atmos. Chem. Phys., Disc., 11, 5557-5567.

• Perez, JC, Gonzalez, A, Armas-Padilla, M., Remote sensing of water cloud properties from MSG/SEVIRI nighttime imagery , Remote Sensing of Environment [Remote Sens. Environ.] (0034-4257), 15 Feb 2011. Vol.115,Iss.2;p.738-746.

• Platt, C.M.R., Vaughan, M.A., Austin, R.T., Characteristics of CALIPSO and CloudSat backscatter at the top center layers of mesoscale convective systems and relation to cloud microphysics, Journal of Applied Meteorology and Climatology (1558-8424), February 2011. Vol.50,Iss.2;p.368-378.

• Pokharel, B., and Gabor Vali, Evaluation of Collocated Measurements of Radar Reflectivity and Particle Sizes in Ice Clouds, Journal of Applied Meteorology and Climatology,Volume 50, Issue 10 (October 2011) pp. 2104-211.

• Protat, A., Bouniol, D., O'Connor, E. J., Baltink, H. Klein, Verlinde, J., Widener, K., CloudSat as a global radar calibrator, Journal of Atmospheric and Oceanic Technology (0739-0572), March 2011. Vol.28,Iss.3;p.445-452.

• Ray, D. K., V. S. Manoharan, and R. M. Welch (2011), Cloud cover conditions and stability of the Western Ghats montane wet forests, J. Geophys. Res., 116, D12104, doi:10.1029/2010JD015245.

• Reitter, S., Fröhlich K., Seifert, A., Crewell, S., Mech, M., 2011: Evaluation of ice and snow content in the global numerical weather prediction model GME with CloudSat, Geosci. Model Dev., 4, 579-589, .

• Ren, Jian-Qi, Yan, Wei, Yang, Han-Le, Shi, Jian-Kang. Cloud classification algorithm for cloudSat satellite based on fuzzy logic method, Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of Science and Technology (Natural Science Edition) (1009-3443), February 2011. Vol.12,Iss.1;p.90-96.

• Riley, E. M., B. E. Mapes, and S. N. Tulich (2011): Clouds Associated with the Madden-Julian Oscillation: A new perspective from CloudSat. J. Atmos. Sci., e-view

• Sandu, I. and Bjorn Stevens, 2011: On the Factors Modulating the Stratocumulus to Cumulus Transitions. J. Atmos. Sci., 68, 1865–1881. doi: http://dx.doi.org/10.1175/2011JAS3614.1

• Sassen, K., and Z. Wang, 2011: The clouds of the middle troposphere: Composition, radiative impact, and global distributions. Surv. Geophys.

• Sato, K., and H. Okamoto, Refinement of global ice microphysics using spaceborne active sensors, J. Geophys. Res., 116, D20202, 2011.

• Satoh, M., Shin-ichi Iga, Hirofumi Tomita, Yoko Tsushima, Akira, T. Noda, 2011: Response of upper clouds in global warming experiments obtained using a global nonhydrostatic model with explicit cloud processes, Journal of Climate, 25, 2178–2191.

• Skofronick-Jackson, G., and B. T. Johnson (2011), Surface and atmospheric contributions to passive microwave brightness temperatures for falling snow events , J. Geophys. Res., 116, D02213.

• Smaller, M.; L'Ecuyere, T., Lebsock, M., Haynes, J., A comparison of precipitation occurrence from the NCEP Stage IV QPE product and the Cloudsat CPR., J. Hydrometeorology (20130919).

• Stein, T. H. M., J. DelanoëR. J. Hogan, 2011: A comparison between four different retrieval methods for ice cloud properties using data from the CloudSat, CALIPSO, and MODIS satellites. J. Appl. Met. Clim., 50, 1952–1969.

• Stein, T. H. M., D. J. Parker, J. Delanoe, N. S. Dixon, R. J. Hogan, P. Knippertz, R. I. Maidment and J. H. Marsham. The vertical cloud structure of the West African monsoon: A four-year climatology using CloudSat and CALIPSO. J. Geophys. Res., Volume 116, Issue D22, November 2011.

• Su, H., J. H. Jiang, J. Teixeira, A. Gettelman, X. Huang, G. Stephens, D. Vane, and V. S. Perun (2011), Comparison of regime-sorted tropical cloud profiles observed by CloudSat with GEOS5 analyses and two general circulation model simulations, J. Geophys. Res., 116, D09104.

• Subrahmanyam, K.V. and Karanam Kishore Kumar, "CloudSat Observations of the Multi Layered Clouds across the Globe: Implications to General Circulation", TROPMET 2011, pp. 198-199, December 14-16, Hyderabad, India.

• Suzuki, K., G. L. Stephens, S. C. van den Heever and T. Y. Nakajima, 2011: Evaluation of the warm rain formation process in cloud-resolving models using joint CloudSat and MODIS observations. J. Atmos. Sci., 68, 2655–2670; e-View.

• Turk F.J., Park K.-W, Haddad Z.S., Rodriguez P., Hudak D.R.: Constraining CloudSat-based snowfall profiles using surface observations and C-band ground radar. Journal of Geophysical Research D: Atmospheres, v116 n23 (2011 12 21).

• Verlinden, K.L., David W. J. Thompson, Graeme L. Stephens, The three-dimensional distribution of clouds over the Southern Hemisphere high latitudes, Journal of Climate, 24, no. 22 (2011): 5799-5811.

• Waliser, D.E., J.-L. F. Li, T. S. L'Ecuyer, and W.-T. Chen (2011), The impact of precipitating ice and snow on the radiation balance in global climate models , Geophys. Res. Lett., 38, L06802.

• Waliser, D., J-L. Li, C. Woods: Vertical cloud structures of the boreal summer intraseasonal variability based on CloudSat observations and ERA-interim reanalysis. Climate Dynamics, 36, no. 11-12 (2011): 2219-2232.

• Wang, H., Y. Luo and R. Zhang, Analyzing seasonal variation of clouds over the Asian monsoon regions and the Tibetan plateau region using CloudSat/CALIPSO data, Chinese Journal of Atmospheric Sciences, 35, 1117-1131 (available in Chinese: http:// www.iapjournals.ac.cn/dqkx/ch/readerview_ abstract.aspx?file_no=20110611

• Wang, C., Z. Luo, and X. Huang (2011), Parallax Correction in Collocating CloudSat and Modis Observations: Method and Application to Convection Study, J. Geophys. Res., Volume 116, Issue D17, September 2011.

• Watanabe, M., H. Shiogama, M. Yoshimori, T. Ogura, T. Yokohata, H. Okamoto, S. Emori and M. Kimoto, Fast and slow timescales in the tropical low-cloud response to increasing CO2 in two climate models , Climate Dynamics, 2011.

• Watts, P. D., R. Bennartz, and F. Fell (2011), Retrieval of two-layer cloud properties from multispectral observations using optimal estimation, J. Geophys. Res., 116, D16203, doi:10.1029/2011JD015883.

• Wu, C. H.; M. D. Chou; W. S. Kau: Influence of Marcus convergence zone on western North Pacific summer monsoon. Atmospheric Research, v101 n4 (201109): 863-868.

• Wu, C. H., M. D. Chou, W. S. Kau: Influence of Marcus convergence zone on western North Pacific summer monsoon. Atmospheric Research, v101 n4 (201109): 863-868.

• Yan, Wei, Ren, Jian-Qi, Lu, Wen, Wu, Xian. Cloud phase discrimination technology based on spaceborne millimeter wave radar and lidar data, Journal of Infrared and Millimeter Waves [J. Infrared Millimeter Waves] (1001-9014), Jan 2011. Vol.30,Iss.1;p.68-73.

• Young, A.H., The characterization of deep convection in the tropical tropopause layer using active and passive satellite observations, Ph.D. Thesis, School of Earth and Atmospheric Science, Georgia Institute of Technology, available at: https://smartech.gatech.edu/handle/1853/41210.

• Yuan, T., L. A. Remer and H. Yu, Microphysical, macrophysical and radiative signatures of volcanic aerosols in trade wind cumulus observed by the A-Train, Atmos. Chem. Phys., 11, 7119–7132. doi:10.5194/acp-11-7119-2011.

• Yuan, J., R. A. Houze, Jr. and A. J. Heymsfield, 2011: Vertical Structures of Anvil Clouds of Tropical Mesoscale Convective Systems Observed by CloudSat. J. Atmos. Sci., e-View.

• Yue, Q., B. Kahn, E. J. Fetzer, and J. Teixeira (2011), Relationship between marine boundary layer clouds and lower tropospheric stability observed by AIRS, CloudSat and CALIOP, J. Geophys. Res., 116, D18212, doi:10.1029/2011JD016136.

• Zhao, Shi-Wei, Lin, Long-Fu, Zhao, Zeng-Liang, Li, Cheng-Cai, Wang, Lei, Estimation of cloud vertical structure based on MODIS data and numerical model, Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of Science and Technology (Natural Science Edition) (1009-3443), April 2011. Vol.12,Iss.2;p.200-204.