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Publications: 2013

  • Baran, A.J., R. Cotton, K. Furtado, S. Havemann, L-C. Labonnote, F. Marenco, A. Smith, J-C. Thelen, A self-consistent scattering model for cirrus. II: The high and low frequencies, Quarterly Journal of the Royal Meteorological Society, v140 n680 (April 2014): 1039-1057.
  • Bardeen, C. G., A. Gettelman, E. J. Jensen, A. Heymsfield, A. J. Conley, J. Delanoë, M. Deng, and O. B. Toon (2013), Improved cirrus simulations in a general circulation model using CARMA sectional microphysics, J. Geophys. Res. Atmos., 118, 11,679–11,697, doi:10.1002/2013JD020193.
  • Battaglia, A., & Delanoë, J. (2013). Synergies and complementarities of CloudSat‐CALIPSO snow observations. Journal of Geophysical Research: Atmospheres, 118(2), 721-731.
  • Berry, E. and Gerald G. Mace, 2013: Cirrus Cloud Properties and the Large-Scale Meteorological Environment: Relationships Derived from A-Train and NCEP–NCAR Reanalysis Data. J. Appl. Meteor. Climatol., 52, 1253–1276. doi: http://dx.doi.org/10.1175/JAMC-D-12-0102.1
  • Bogenschutz, P. A., Andrew Gettelman, Hugh Morrison, Vincent E. Larson, Cheryl Craig, and David P. Schanen, 2013: Higher-Order Turbulence Closure and Its Impact on Climate Simulations in the Community Atmosphere Model. J. Climate, 26, 9655–9676. doi: http://dx.doi.org/10.1175/JCLI-D-13-00075.1
  • Bühl, J., A. Ansmann, P. Seifert, H. Baars, and R. Engelmann (2013), Toward a quantitative characterization of heterogeneous ice formation with lidar/radar: Comparison of CALIPSO/CloudSat with ground-based observations, Geophys. Res. Lett., 40, 4404–4408, doi:10.1002/grl.50792.
  • Christensen, M. W., G. Carrio, G. L. Stephens, and W. R. Cotton (2013) Radiative Impacts of Free-Tropospheric Clouds on the Properties of Marine Stratocumulus, J. Atmos. Sci., doi: 10.1175/JAS-D-12-0287.1
  • Christensen, M. W., G. L. Stephens, and M. D. Lebsock (2013), Exposing Biases in Retrieved Cloud Properties from CloudSat: A guide for evaluating observations and climate data, J. Geophys. Res., doi: 10.1002/2013JD020224.
  • Davis, S. M., C. K. Liang, and K. H. Rosenlof (2013), Interannual variability of tropical tropopause layer clouds, Geophys. Res. Lett., 40, 2862–2866, doi:10.1002/grl.50512.
  • Del Genio, A.D.; Yonghua Chen; Daehyun Kim; Mao-Sung Yao; The MJO Transition from Shallow to Deep Convection in CloudSat/CALIPSO Data and GISS GCM Simulations, Journal of Climate, 25, no. 11 (2012): 3755-3770
  • Desmons, M., N. Ferlay, F. Parol, L. Mcharek, and C. Vanbauce, Improved information about the vertical location and extent of monolayer clouds from POLDER3 measurements in the oxygen A-band, Atmos. Meas. Tech., 6, 2221-2238, 2013. doi:10.5194/amt-6-2221-2013
  • Eliasson, S., G. Holl, S. A. Buehler, T. Kuhn, M. Stengel, F. Iturbide-Sanchez, and M. Johnston (2013), Systematic and random errors between collocated satellite ice water path observations, J. Geophys. Res. Atmos., 118, 2629–2642, doi:10.1029/2012JD018381.
  • Field, P. R., Hill, A. A., Furtado, K. and Korolev, A. (2014), Mixed-phase clouds in a turbulent environment. Part 2: Analytic treatment. Q.J.R. Meteorol. Soc., 140: 870–880. doi: 10.1002/qj.2175
  • Franklin, C. N., Z. Sun, D. Bi, M. Dix, H. Yan, and A. Bodas-Salcedo (2013), Evaluation of clouds in ACCESS using the satellite simulator package COSP: Global, seasonal, and regional cloud properties, J. Geophys. Res. Atmos., 118, 732–748, doi:10.1029/2012JD018469.
  • Gravseth, I.J. and Pieper, B., CloudSat’s Return to the A-Train, Int. J. Space Science and Engineering, Vol. 1, No.4, 2013.
  • Hagihara, Y., Okamoto H., 2013: Global cloud distribution revealed by combined use of CloudSat/CALIPSO: Comparison using CALIPSO versions 2 and 3 data; AIP Conference Proceedings, v1531 (2013 05 22): 456-459.
  • Ham, S.-H., B.-J. Sohn, S. Kato, and M. Satoh (2013), Vertical structure of ice cloud layers from CloudSat and CALIPSO measurements and comparison to NICAM simulations, J. Geophys. Res. Atmos., 118, 9930–9947, doi:10.1002/jgrd.50582.
  • Hashino, T., M. Satoh, Y. Hagihara, T. Kubota, T. Matsui, T. Nasuno, and H. Okamoto (2013), Evaluating cloud microphysics from NICAM against CloudSat and CALIPSO, J. Geophys. Res. Atmos., 118, 1–20, doi:10.1002/jgrd.50564.
  • Henken C.C., Lindstrot R., Filipitsch F., Preusker R., Fischer J., Walther A., 2013: FAME-C: Retrieval of cloud top pressure with vertically inhomogeneous cloud profiles; AIP Conference Proceedings, v1531 (2013 05 22): 412-415.
  • Heymsfield, A. J., C. Schmitt, and A. Bansemer, 2013: Ice Cloud Particle Size Distributions and Pressure-Dependent Terminal Velocities from In Situ Observations at Temperatures from 0° to -86°C. J. Atmos. Sci., 70, 4123–4154.
  • Hsu, H., and Jonathan H. Jiang, 2013: Tropical Clouds and Circulation Changes during the 2006/07 and 2009/10 El Niños. J. Climate, 26, 399–413. doi: http://dx.doi.org/10.1175/JCLI-D-12-00152.1
  • Igel, A.L., S.C. van den Heever, C.M. Naud, S.M. Saleeby, and D.J. Posselt, 2013:Sensitivity of warm frontal processes to cloud-nucleating aerosol concentrations, Journal of the Atmospheric Sciences, v70 n6 (2013 07 19): 1768-1783
  • Josset, D.; Tanelli, S.; Hu, Y.; Pelon, J.; Zhai, P. (2013): Analysis of Water Vapor Correction for CloudSat W-Band Radar," Geoscience and Remote Sensing, IEEE Transactions on , vol.51, no.7, pp.3812,3825, July 2013 doi: 10.1109/TGRS.2012.2228659
  • Kahn, B. H., Irion, F. W., Dang, V. T., Manning, E. M., Nasiri, S. L., Naud, C. M., Blaisdell, J. M., Schreier, M. M., Yue, Q., Bowman, K. W., Fetzer, E. J., Hulley, G. C., Liou, K. N., Lubin, D., Ou, S. C., Susskind, J., Takano, Y., Tian, B., and Worden, J. R., 2013: The Atmospheric Infrared Sounder Version 6 cloud products, Atmos. Chem. Phys. Discuss., 13, 14477-14543, doi:10.5194/acpd-13-14477-2013.
  • Kato, S., Norman G. Loeb, Fred G. Rose, David R. Doelling, David A. Rutan, Thomas E. Caldwell, Lisan Yu, and Robert A. Weller, 2013: Surface Irradiances Consistent with CERES-Derived Top-of-Atmosphere Shortwave and Longwave Irradiances. J. Climate, 26, 2719–2740. doi: http://dx.doi.org/10.1175/JCLI-D-12-00436.1
  • Kawamoto, K., and K. Suzuki, 2013: Comparison of water cloud microphysics over mid-latitude land and ocean using CloudSat and MODIS observations. J. Quant. Spec. Rad. Trans., 122, 13-24.
  • Kuhnlein, M; T Appelhans; B Thies; A A Kokhanovsky; T Nauss; An evaluation of a semi-analytical cloud property retrieval using MSG SEVIRI, MODIS and CloudSat, Atmospheric Research, v122 (201303): 111-135.
  • Lebsock, M., H. Morrison, and A. Gettelman (2013), Microphysical implications of cloud-precipitation covariance derived from satellite remote sensing, J. Geophys. Res. Atmos., 118, doi:10.1002/jgrd.50347.
  • Lebsock, M., and H. Su (2014), Application of active spaceborne remote sensing for understanding biases between passive cloud water path retrievals, J. Geophys. Res. Atmos., 119, 8962–8979, doi:10.1002/2014JD021568.
  • Lee, D., L. Oreopoulos, G.J. Huffman and W.B. Rossow, 2013: The precipitation characteristics of ISCCP tropical weather states. J. Climate, 26, 772-788, doi: 10.1175/JCLI-D-11-00718.1.
  • Li, J-L.F., D.E. Waliser, G. Stephens, S. Lee, T. L’Ecuyer, S. Kato, N. Loeb, H-Y. Ma, et al, Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM and reanalysis, Journal of Geophysical Research: Atmospheres, v118 n15 (16 August 2013): 8166-8184. Geophys. Res. Atmos., 118, doi:10.1002/jgrd.50378.
  • Li, J. M., Y. H. Yi, K. Stamnes, X. D. Ding, T. H. Wang, H. C. Jin, and S. S. Wang (2013), A new approach to retrieve cloud base height of marine boundary layer clouds, Geophys. Res. Lett., 40, 4448–4453, doi:10.1002/grl.50836.
  • Lin, L; Q Fu; H Zhang; J Su; Q Yang; Z Sun; Upward mass fluxes in tropical upper troposphere and lower stratosphere derived from radiative transfer calculations; Journal of Quantitative Spectroscopy and Radiative Transfer, v117 (201303): 114-122. DOI: 10.1016/j.jqsrt.2012.11.016
  • Liu, G., and E.-K. Seo, 2013: Detecting snowfall over land by satellite high-frequency microwave observations: The lack of scattering signature and a statistical approach. J. Geophys. Res., 118.
  • Luo, Y., Hui Wang, Renhe Zhang, Weimiao Qian, and Zhengzhao Luo, 2013: Comparison of Rainfall Characteristics and Convective Properties of Monsoon Precipitation Systems over South China and the Yangtze and Huai River Basin. J. Climate, 26, 110–132. doi: http://dx.doi.org/10.1175/JCLI-D-12-00100.1
  • Matsui, T., T. Iguchi, X. Li, M. Han, W.-K. Tao, W. Petersen, T. L'Ecuyer, R. Meneghini, W. Olson, C. D. Kummerow, A. Y. Hou, M. R. Schwaller, E. F. Stocker, and J. Kwiatkowski, 2013: GPM satellite simulator over ground validation sites, submitted to Bull. Amer. Meteor. Soc.
  • Millán, L., W. Read, Y. Kasai, A. Lambert, N. Livesey, J. Mendrok, H. Sagawa, T. Sano, M. Shiotani, and D. L. Wu (2013), SMILES ice cloud products, J. Geophys. Res. Atmos., 118, 6468-6477, doi:10.1002/jgrd.50322.
  • Mittermaier, M.P., R. Bullock, Using MODE to explore the spatial and temporal characteristics of cloud cover forecasts from high-resolution NWP models, Meteorological Applications, v20 n2 (June 2013): 187-196.
  • Naeger, A. R., S. A. Christopher, and B. T. Johnson (2013), Multiplatform analysis of the radiative effects and heating rates for an intense dust storm on 21 June 2007, J. Geophys. Res. Atmos., 118, 9316–9329, doi:10.1002/jgrd.50713.
  • Nagao, T. M., K. Suzuki, and T. Y. Nakajima, 2013: Interpretation of multiwavelength-retrieved droplet effective radii for warm water clouds in terms of in-cloud vertical inhomogeneity by using spectral bin microphysics cloud model. J. Atmos. Sci., 70, 2376–2392.
  • Nair AKM, Rajeev K. Multiyear CloudSat and CALIPSO observations of the dependence of cloud vertical distribution on sea surface temperature and tropospheric dynamics. J Clim 2014 Jan 15;27(2):672-83.
  • Nam, C and Quaas, J., 2013: Geographically versus dynamically defined boundary layer cloud regimes and their use to evaluate general circulation model cloud parameterizations. Geophys. Res. Lett.,40, 4951-4956. http://dx.doi.org/10.1002/grl.50945
  • Noh, Y., C. Seaman, T. Vonder Haar, and G. Liu, 2013: In situ aircraft measurements of the vertical distribution of liquid and ice water content in midlatitude mixed-phase clouds. J. Appl. Meteor. Climatol., 52, 269-279. doi:10.1175/JAMC-D-11-0202.1.
  • Nowell, H., G. Liu, R. Honeyager: Modeling the microwave single-scattering properties of aggregate snowflakes. J. Geophys. Res. , doi:10.1002/jgrd.50620, 118(14), 7873-7885.
  • Okamoto H.; Active remote sensing of cloud microphysics; AIP Conference Proceedings, v1531 (2013 05 22): 19-22.
  • Ou, S.-C., B. H. Kahn, K. N. Liou, Y. Takano, M. M. Schreier, and Q. Yue, 2013: Retrieval of cirrus cloud properties from the Atmospheric Infrared Sounder: The k-coefficient approach combined with SARTA plus delta-four stream approximation, IEEE Trans. Geosci. Remote Sens.
  • Padmakumari, B., R.S. Maheskumar, G. Harikishan, J.R. Kulkarni and B.N. Goswami, Comparative study of aircraft- and satellite-derived aerosol and cloud microphysical parameters during CAIPEEX-2009 over the Indian region, International Journal of Remote Sensing, Volume 34, Issue 1, 2013, pages 358-373, DOI: 10.1080/01431161.2012.705442
  • Peng J, Zhang H, Li Z. Temporal and spatial variations of global deep cloud systems based on CloudSat and CALIPSO satellite observations. Adv Atmos Sci 2014 05;31(3):593-603.
  • Protat, A., Young, S. A., Rikus, L. and Whimpey, M. (2014), Evaluation of hydrometeor frequency of occurrence in a limited-area numerical weather prediction system using near real-time CloudSat–CALIPSO observations. Q.J.R. Meteorol. Soc., 140: 2430–2443. doi: 10.1002/qj.2308
  • Rapp, Anita, Matthew Lebsock and Tristan L'Ecuyer, 2013: Low cloud precipitation climatology in the southeastern Pacific marine stratocumulus region using CloudSat, Environ. Res. Lett. 8 014027 doi:10.1088/1748-9326/8/1/014027.
  • Rajeevan, M.; P Rohini; K Niranjan Kumar; J Srinivasan; C K Unnikrishnan, A study of vertical cloud structure of the Indian summer monsoon using CloudSat data, Climate Dynamics, v40 n3-4 (20130215): 637-650.
  • Roebeling, R., Bryan Baum, Ralf Bennartz, Ulrich Hamann, Andy Heidinger, Anke Thoss, and Andi Walther, 2013: Evaluating and Improving Cloud Parameter Retrievals. Bull. Amer. Meteor. Soc., 94, ES41–ES44. doi: http://dx.doi.org/10.1175/BAMS-D-12-00041.1
  • Setvak, M.; K Bedka; D T Lindsey; A Sokol; Z Charvat; J Stastka; P K Wang; A-Train observations of deep convective storm tops; Atmospheric Research, v123 (20130401): 229-248. DOI: 10.1016/j.atmosres.2012.06.020
  • Smalley, M., T. L’Ecuyer, M. Lebsock, J. Haynes, A comparison of precipitation occurrence from the NCEP Stage IV QPE Product and the CloudSat Cloud Profiling Radar, J. Hydrometeorology, 15, 444-458.
  • Sorooshian, A., Z. Wang, G. Feingold, T.L’Ecuyer, et al, Journal of Geophysical Research: Atmospheres, v118 n12 (27 June 2013): 6643-6650.
  • Stengel, M., Mieruch, S., M. Jerg, K-G Karlsson, R. Scheirer, B. Maddux, J.F. Meirink, C. Poulson, R. Siddans, A. Walther, R. Hollmann, The Clouds Climate Initiative: Assessment of state-of-the-art cloud property retrieval schemes applied to AVHRR heritage measurements, Remote Sensing of the Environment.
  • Stubenrauch, C.J., W.B. Rossow, S. Kinne and GEWEX Cloud Assessment Team, 2013: Results from the GEWEX Cloud Assessment. GEWEX NEWS, 23, 7-9.
  • Sui, H., J. Jiang, C. Zhai, V. Perun, J. Shen, et al, Diagnosis of regime-dependent cloud simulation errors in CMIP5 models using “A-Train” satellite observations and reanalysis data, Journal of Geophysical Research: Atmospheres, v118 n7 (16 April 2013): 2762-2780. DOI: 10.1029/2012JD018575
  • Subrahmanyam, K. V. and Kumar, K. K.: CloudSat observations of cloud-type distribution over the Indian summer monsoon region, Ann. Geophys., 31, 1155-1162, doi:10.5194/angeo-31-1155-2013, 2013.
  • Sukhatme, J. (2014), Low-frequency modes in an equatorial shallow-water model with moisture gradients. Q.J.R. Meteorol. Soc., 140: 1838–1846. doi: 10.1002/qj.2264
  • Sutphin, A.B., Characteristics of Tropical Midlevel Clouds Using A-Train Measurements, M.S. Thesis, Department of Atmospheric Sciences, Texas A&M University, Available electronically from https://repository.tamu.edu/handle/1969.1/150971
  • Suzuki, K., J.-C. Golaz, and G. L. Stephens, 2013: Evaluating cloud tuning in a climate model with satellite observations. Geophys. Res. Lett., 40, 4464-4468, doi:10.1002/grl.50874.
  • Takahashi, H. and Z. J. Luo, 2014: Characterizing Tropical Overshooting Convection from Joint Analysis of CloudSat and Geostationary Satellite Observations, J. Geophys. Res. Atmos., 119, 112-121, doi:10.1002/2013JD020972
  • Takahashi, H., Hui Su, J. H. Jiang, Z. J. Luo, S.-P. Xie, and J. Hafner, 2013: Tropical Water Vapor Variations During the 2006-07 and 2009-10 El Ninos: Satellite Observation and GFDL AM2.1 Simulation, Journal of Geophysical Research: Atmospheres, v118 n16 (27 August 2013): 8910-8920. DOI: 10.1002/jgrd.50684
  • Thorsen, T. J., Q. Fu, and J. M. Comstock (2013), Cloud effects on radiative heating rate profiles over Darwin using ARM and A-train radar/lidar observations, J. Geophys. Res. Atmos., 118, 5637–5654, doi:10.1002/jgrd.50476
  • Wall, Christina, C. Liu, E. Zipser, 2013: A Climatology of Tropical Congests Using CloudSat, Journal of Geophysical Research: Atmospheres, DOI: 10.1002/jgrd.50455.
  • Wang, C., Z. J. Luo, X. Chen, X. Zeng, W.-K. Tao, and X.L. Huang, 2013: A physically based algorithm for non-blackbody correction of cloud top temperature and application to convection study, Journal of Applied Meteorology and Climatology, (20140403): 140403135334006.
  • Wang, Y., G. Liu, E.-K. Seo, and Y. Fu, 2012: Liquid water in snowing clouds: Implications for satellite remote sensing of snowfall. Atmos. Res., doi:10.1016/j.atmosres.2012.06.008. 131, 60-72.
  • Wood, N. B., T. S. L'Ecuyer, F. L. Bliven, and G. L. Stephens, 2013: Characterization of disdrometer uncertainties and their effects on snowfall rate from radar reflectivity. Atmos. Meas. Tech., 6, 3635-3648, doi:10.5194/amt-6-3635-2013.
  • Yao, Z., J. Li, E. Weisz, A. Heidinger, and C.-Y. Liu (2013), Evaluation of single field-of-view cloud top height retrievals from hyperspectral infrared sounder radiances with CloudSat and CALIPSO measurements, J. Geophys. Res. Atmos., 118, 9182–9190, doi:10.1002/jgrd.50681
  • Yin Jin-Fang, Wang Dong-Hai, Zhai Guo-Qing, Wang Zhien, 2013: Observational characteristics of cloud vertical profiles over the continent of East Asia from the CloudSat data. Acta Meteorologica Sinica, 27(1): 26-39, doi:10.1007/s13351-013-0104-0.
  • Yoo, H., Z.Li, Y-T. Hou, S. Lord, F. Weng, and H. Barker, Diagnosis and testing of low-level cloud parameterizationsnfor the NCEP/GFS model using satellite and ground-based measurements, Clim Dyn, 41:1595-1613, doi: 10.1007/s00382-013-1884-8.
  • Yuan, T., and L. Oreopoulos (2013), On the global character of overlap between low and high clouds, Geophys. Res. Lett., 40, 5320–5326, doi:10.1002/grl.50871.
  • Zhang D.; Z Wang.; T. Luo; A. Heymsfield; African dust impacts on mixed-phase and warm stratiform clouds observed from CALIPSO and CloudSat measurements; AIP Conference Proceedings, v1527 (2013 05 14): 887-890.
  • Zhang H.; J. Peng.; X.W.Jing J.N. Li, The features of cloud overlapping in Eastern Asia and their effect on cloud radiative forcing; Science China Earth Sciences, v56 n5 (2013 05 01): 737-747.
  • Zhang, M., et al. (2013), CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models, J. Adv. Model. Earth Syst., 5, 826–842, doi:10.1002/2013MS000246.