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.

• Behrangi, A. , T. Kubar, B. Lambrigtsen, 2011: Phenomenological Insights of Tropical Clouds Using Cloudsat Cloud Classification, Mon. Wea. Rev., in preparation.

• 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.

• 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.

• 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.

• 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. Fröch, 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.

• 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.

• 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.

• Hogan, R. J., L. Tian, P. R. A. Brown, C. D. Westbrook, A. J. Heymsfield and J. D. Eastment, 2011: Radar scattering from ice aggreates using the horizontally aligned oblate spheroid approximation. J. Appl. Meteorol. Climatology., 51, 655–671.

• 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.

• Jiang, J. H., H. Su, et al. (2012), Evaluation of Cloud and Water Vapor Simulations in CMIP5 Climate Models Using NASA “A-Train” Satellite Observations, J. Geophys. Res.

• 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.

• 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.

• Kawai, H., and JoãTeixeira, Probability Density Functions of Liquid Water Path and Total Water Content of Marine Boundary Layer Clouds: Implications for Cloud Parameterization, Journal of Climate, 25, 2162–2177.

• Kay, J. E., B. Hillman, S. Klein, Y. Zhang, B. Medeiros, A. Gettelman, R. Pincus, B. Eaton, J. Boyle, R. Marchand, and T. Ackerman (2012), Exposing compensating global cloud biases in the Community Atmosphere Model (CAM) using satellite observations and their corresponding instrument simulators, J. Climate.

• 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.

• 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.

• 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.

• Luo, Y., H. Wang, R. Zhang, W. Qian, and Z. Luo, 2012: Comparison of rainfall characteristics and convective properties of monsoon precipitation systems over South China and Yangtze-and-Huai River Basin, J. Climate, 26, 110–132.

• 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).

• Marchand, R. (2011), Spatial Correlation of hydrometeor occurrence, reflectivity and rain rate from CloudSat, J. Geophys. Res.

• Matrosov, S.Y., 2011: CloudSat measurements of landfalling hurricanes Gustav and Ike (2008): J. Geophys. Res., 116, D01203.

• 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.

• 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.

• Noh, Y. J., C. J. Seaman, T. H. Vonder Haar, Guosheng Liu, 2011: In situ aircraft measurements of water content profiles in various midlatitude mixed-phase clouds. Submitted to J. Appl. Meteor. Climatol.

• 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.

• Reitter, S., Fröch, 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

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

• Sassen, K., J. Zhu, and V. K. Kayetha, 2012: Ice cloud depolarization for nadir and off-nadir CALIPSO measurements. J. Geophys. Res.

• 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.

• 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.

• Su, H., and J. H. Jiang (2012): Tropical Clouds and Circulation Changes During the 2006-07 and 2009-10 El Niños, J. Climate, 26, 399–413.

• 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, 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.

• 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.

• Yoshida, R., H. Okamoto, Y. Hagihara, and H. Ishimoto (2010), Global analysis of cloud phase and ice crystal orientation from CALIPSO data using attenuated backscattering and depolarization ratio. J. Geophys. Res., 115, D00H32.

• 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.,

• 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.