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  1. Austin, R. T. and G. L. Stephens (2001), Retrieval of stratus cloud microphysical parameters using millimeter-wave radar and visible optical depth in preparation for CloudSat 1. Algorithm formulation, J. Geophys. Res., 106(D22), 28,233–28,242.
  2. Austin, R. T., A. J. Heymsfield, and G. L. Stephens (2009), Retrieval of ice cloud microphysical parameters using the CloudSat millimeter-wave radar and temperature, J. Geophys. Res., 114, D00A23, doi:10.1029/2008JD010049.
  3. Baran, A. J., A. Bodas-Salcedo, R. Cottona, and C. Lee (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, Q. J. R. Meteorol. Soc., Not published yet, doi:10.1002/qj.870.
  4. Benedetti, A., G. L. Stephens, and J. M. Haynes (2003), Ice cloud microphysics retrievals from millimeter radar and visible optical depth using an estimation theory approach, J. Geophys. Res., 108(D11), 4335, doi:10.1029/2002JD002693.
  5. Bodas-Salcedo, A., M. J. Webb, M. E. Brooks, M. A. Ringer, K. D. Williams, S. F. Milton, and D. R. Wilson (2008), Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities, J. Geophys. Res., 113, D00A13, doi:10.1029/2007JD009620.
  6. Chen, W. T., C. P. Woods, J.L. Li, D. Waliser, J. D. Chern, W. K. Tao, J. Jiang, and A. M. Tompkins (2010), Partitioning CloudSat Ice Water Content for Comparison with Upper-Tropospheric Ice in Global Atmospheric Models, In: AGU fallmeeting.
  7. Chen, W. T., C. P. Woods, J.L. Li, D. Waliser, J. D. Chern, W. K. Tao, J. Jiang, and A. M. Tompkins (2011), Partitioning CloudSat ice water content for comparison with upper tropospheric ice in global atmospheric models, J. Geophys. Res., 116, D19206, doi:10.1029/2010JD015179.
  8. Wang, Z. and K. Sassen (2007), Level 2 cloud scenario classification product process description and interface controll document, Cooperative institute for research in the atmosphere, Colorado State University, CloudSat project document.
  9. Cooper, S. J., T. S. L'Ecuyer, and G. L. Stephens (2003), The impact of explicit cloud boundary information on ice cloud microphysical property retrievals from infrared radiances, J. Geophys. Res., 108, doi:10.1029/2002JD002611.
  10. Cooper, S. J., T. S. L'Ecuyer, P. Gabriel, A. J. Baran, and G. L. Stephens (2006), Objective Assessment of the Information Content of Visible and Infrared Radiance Measurements for Cloud Microphysical Property Retrievals over the Global Oceans. Part II: Ice Clouds, J. Appl. Meteorol. Clim., 45, 42–62, doi:10.1175/JAM2327.1.
  11. Delanoë, J. and R. J. Hogan (2008), A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer, J. Geophys. Res., 113, D07204, doi:10.1029/2007JD009000.
  12. Delanoë, J. and R. J. Hogan (2010), Combined CloudSat-CALIPSO-MODIS retrievals of the properties of ice clouds, J. Geophys. Res., 115, D00H29, doi:10.1029/2009JD012346.
  13. Delanoë, J., R. J. Hogan, R. M. Forbes, A. Bodas-Salced, and T. H. M Stein (2011), Evaluation of ice cloud representation in the ECMWF and UK Met Office models using CloudSat and CALIPSO data, Q. J. R. Meteorol. Soc., Not published yet, doi:10.1002/qj.882.
  14. Devasthale, A. and M. A. Thomas (2012), Sensitivity of cloud liquid water content estimates to the temperature dependent thermodynamic phase: a global study using CloudSAT data, J. Climate, doi:10.1175/JCLI-D-11-00521.1.
  15. Durden, S. and R. Boain (2004), Orbit and Transmit Characteristics of the CloudSat Cloud Profiling Radar (CPR), Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109.
  16. Eriksson, P., M. Ekström, B. Rydberg, D. L. Wu, R. T. Austin, and D. P. Murtagh (2008), Comparison between early Odin-SMR, Aura MLS and CloudSat retrievals of cloud ice mass in the upper tropical troposhere, Atmos. Chem. Phys., 8(7), 1937–1948, doi:10.5194/acp-8-1937-2008.
  17. Gong, J. and D. L. Wu (2013), CloudSat-constrained cloud ice water path and cloud top height retrievals from MHS 157 and 183.3 GHz radiances, Atmos. Meas. Tech. Discuss., 6, 8187–8233, doi:10.5194/amtd-6-8187-2013.
  18. Hashino, T., M. Satoh, Y. Hagihara, T. Kubota, T. Matsui, T. Nasuno, and H. Okamoto (2012), Evaluation of cloud distribution and bulk microphysics simulated by a global cloud-resolving model with combined use of CloudSat and CALIPSO measurements, J. Geophys. Res., to be submitted.
  19. Haynes, J. M., R. T. Marchand, Z. Luo, A. Bodas-Salcedo, and G. L. Stephens (2007), A Multipurpose Radar Simulation Package: QuickBeam, Bull. Amer. Met. Soc., 1723–1727, doi:10.1175/BAMS-88-11-1723.
  20. Haynes, John M., Tristan S. L'Ecuyer, Graeme L. Stephens, Steven D. Miller, Cristian Mitrescu, Norman B. Wood, and Simone Tanelli (2009), Rainfall retrieval over the ocean with spaceborne W-band radar, J. Geophys. Res., 114, D00A22, doi:10.1029/2008JD009973.
  21. Haynes, J. M., T. H. Vonder Haar, T. L'Ecuyer, and D. Henderson (2013), Radiative heating characteristics of Earth's cloudy atmosphere from vertically resolved active sensors, Geophys. Res. Lett., 40, doi:10.1002/GRL.50145.
  22. Heymsfield, A. J., D. Winker, and G.-J. van Zadelhoff (2005), Extinction-ice water content-effective radius algorithms for CALIPSO, Geophys. Res. Lett., 32, doi:10.1029/2005GL022742.
  23. Heymsfield, A. J., Z. Wang, and S. Matrosov (2005), Improved Radar Ice Water Content Retrieval Algorithms Using Coincident Microphysical and Radar Measurements, J. Appl. Meteorol., 44, 1391–1412, doi:10.1175/JAM2282.1.
  24. Heymsfield, A. J., A. Protat, R. Austin, D. Bouniol, R. Hogan, J. Delanoë, H. Okamoto, K. Sato, G.-J. van Zadelhoff, D. Donovan, and Z. Wang (2008), Testing IWC Retrieval Methods Using Radar and Ancillary Measurements with In Situ Data, J. Appl. Meteorol. Clim., 47(1), 135–163, doi:10.1175/2007JAMC1606.1.
  25. Hudak, D., H. Barker, P. Rodriguez, and D. Donovan (2006), The Canadian CloudSat Validation Project, In: Proceedings of the 4th European Conference on Radar in Meteorology and Hydrology, Barcelona, Spain, September 18-22, 2006.
  26. Kahn, B. H., M. T. Chahine, G. L. Stephens, G. G. Mace, R. T. Marchand, Z. Wang, C. D. Barnet, A. Eldering, R. E. Holz, R. E. Kuehn, and D. G. Vane (2008), Cloud type comparisons of AIRS, CloudSat, and CALIPSO cloud height and amount, Atmos. Chem. Phys., 8, 1231–1248, doi:10.5194/acp-8-1231-2008.
  27. 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. Winkler, T. P. Charlock, P. W. Stackhouse Jr., K.-M. Xu, and W. D. 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(D19), D19209, doi:10.1029/2011JD016050.
  28. L'Ecuyer, T. S., G. L. Stevens, and R. T. Austin (2004), Mapping clouds and precipitation with CloudSat and the afternoon A-Train, In: Proceedings of the 3rd European Conference on Radar Meteorology and COST-717 Final Seminar, Visby, Sweden, September 6-10, 2004, pp. 144–149.
  29. L'Ecuyer, T. S., N. B. Wood, T. Haladay, G. L. Stephens, and P. W. Stackhouse Jr. (2008), Impact of clouds on atmospheric heating based on the R04 CloudSat fluxes and heating rates data set, J. Geophys. Res., 113, D00A15, doi:10.1029/2008JD009951.
  30. L'Ecuyer, T. S. and J. H. Jiang (2010), Touring the atmosphere aboard the A-Train, Phys. Today, 63(7), 36–41.
  31. Li, L., G. M. Heymsfield, L. Tian, and P. E. Racette (2005), Measurements of Ocean Surface Backscattering Using an Airborne 94-GHz Cloud Radar—Implication for Calibration of Airborne and Spaceborne W-Band Radars, J. Atmos. Oceanic Technol., 22, 1033–1045, doi:10.1175/JTECH1722.1.
  32. Liu, C., E. J. Zipser, G. G. Mace, and S. Benson (2008), Implications of the differences between daytime and nighttime CloudSat observations over the tropics, J. Geophys. Res., 113, 1–11, doi:10.1029/2008JD009783.
  33. Mace, G. G., Q. Zhang, M. Vaughan, R. Marchand, G. Stephens, C. Trepte, and D. Winker (2009), A description of hydrometeor layer occurrence statistics derived from the first year of merged CloudSat and CALIPSO data, J. Geophys. Res., 114, 1–17, doi:10.1029/2007JD009755.
  34. Mace, G. G. (2009), Cloud properties and radiative forcing over the maritime storm tracks of the Southern Ocean and North Atlantic derived from A-Train, J. Geophys. Res., 115, D10201, doi:10.1029/2009JD012517.
  35. Matrosov, S. Y. and A. J. Heymsfield (2008), Estimating ice content and extinction in precipitating cloud systems from CloudSat radar measurements, J. Geophys. Res., 113, 1–8, doi:10.1029/2007JD009633.
  36. Mitrescu, C., S. Miller, J. Hawkins, T L'Ecuyer, J. Turk, P. Partain, and G. Stephens (2007), Near-Real-Time Applications of CloudSat Data, J. Appl. Meteorol. Clim., 47, 1982–1994, doi:10.1175/2007JAMC1794.1.
  37. Molthan, A. L. and W. A. Petersen (2011), Incorporating Ice Crystal Scattering Databases in the Simulation of Millimeter-Wavelength Radar Reflectivity, J. Atmos. Oceanic Technol., 28, 337–351, doi:10.1175/2010JTECHA1511.1.
  38. Pittman, J. V., F. R. Robertson, R. J. Atkinson, and C. Blankenship (2008), Understanding Differences Between Co-Incident CloudSat, Aqua/MODIS and NOAA18 MHS Ice water Path Retrievals Over the Tropical Oceans, In: AGU Fall Meeting Abstracts.
  39. Protat, A., D. Bouniol, J. Delanoe, P. T. May, A. Plana-Fattori, A. Hasson, E. O?Connor, U. Gorsdorf, and A. J. Heymsfield (2009), Assessment of Cloudsat Reflectivity Measurements and Ice Cloud Properties Using Ground-Based and Airborne Cloud Radar Observations, J. Atmos. Oceanic Technol., 26, 1717–1741, doi:10.1175/2009JTECHA1246.1.
  40. Protat, A., J. Delanoe, E. J. O'Connor, and T. S. L'Ecuyer (2010), The Evaluation of CloudSat and CALIPSO Ice Microphysical Products Using Ground-Based Cloud Radar and Lidar Observations, J. Atmos. Oceanic Technol., 27, 793–810, doi:10.1175/2009JTECHA1397.1.
  41. Reitter, S., K. Fröhlich, A. Seifert, S. Crewell, and M. Mech (2011), Evaluation of ice and snow content in the global numerical weather prediction model GME with CloudSat, Geosci. Model Dev., 4(3), 579–589, doi:10.5194/gmd-4-579-2011.
  42. Sassen, K., Z. Wang, V. I. Khvorostyanov, G. L. Stephens, and A. Bennedetti (2002), Cirrus Cloud Ice Water Content Radar Algorithm Evaluation Using an Explicit Cloud Microphysical Model, J. Appl. Meteorol., 41, 620–628.
  43. Sassen, K., S. Matrosov, and J. Campbell (2007), CloudSat spaceborne 94 GHz radar bright bands in the melting layer: An attenuation-driven upside-down lidar analog, Geophys. Res. Lett., 34, L16818, doi:10.1029/2007GL030291.
  44. Sassen, K., Z. Wang, and D. Liu (2008), Global distribution of cirrus clouds from CloudSat/Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) measurements, J. Geophys. Res., 113, 1–12, doi:10.1029/2008JD009972.
  45. Stein, T. H. M., J. Delanoë, and R. J. Hogan (2011), A Comparison among Four Different Retrieval Methods for Ice-Cloud Properties Using Data from CloudSat, CALIPSO, and MODIS, J. Appl. Meteorol. Clim., 50, 1952–1969, doi:10.1175/2011JAMC2646.1.
  46. Stephens, G. L., D. G. Vane, R. J. Boain, G. G. Mace, K. Sassen, Z. Wang, A. J. Illingworth, E. J. O'Connor, W. B. Rossow, S. L. Durden, S. D. Miller, R. T. Austin, A. Benedetti, C. Mitrescu, and the CloudSat Science Team (2002), The CloudSat mission and the A-train, Bull. Amer. Met. Soc., 83(12), 1771–1790, doi:10.1175/BAMS-83-12-1771.
  47. Stephens, G. L., D. G. Vane, S. Tanelli, E. Im, S. Durden, M. Rokey, D. Reinke, P. Partain, G. G. Mace, R. Austin, T. L'Ecuyer, J. Haynes, M. Lebsock, K. Suzuki, D. Waliser, D. Wu, J. Kay, A. Gettelman ad Z. Wang, and R. Marchand (2008), CloudSat mission: Performance and early science after the first year of operation, J. Geophys. Res., 113, D00A18, doi:10.1029/2008JD009982.
  48. Stubenrauch, C. J., S. Cros, A. Guignard, and N. Lamquin (2010), A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat, Atmos. Chem. Phys., 10, 7197–7214, doi:10.5194/acp-10-7197-2010.
  49. Tanelli, S., S. L. Durden, E. Im, K. S. Pak, D. G. Reinke, P. Partain, J. M. Haynes, and R. T. Marchand (2008), CloudSat's Cloud Profiling Radar after Two Years in Orbit: Performance, Calibration, and Processing, IEEE T. Geosci. Remote, 46(11), 3560–3573.
  50. Waliser, D. E., J-L. F. Li, C. P. Woods, R. T. Austin, J. Bacmeister, J. Chern, A. Del Genio, J. H. Jiang, Z. Kuang, H. Meng, P. Minnis, S. Platnick, W. B. Rossow, G. L. Stephens, S. Sun-Mack, W-K. Tao, A. M. Tompkins, D. G. Vane, C. Walker, and D. Wu (2009), Cloud ice: A climate model challenge with signs and expectations of progress, J. Geophys. Res., 114, D00A21, doi:10.1029/2008JD010015.
  51. 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, doi:10.1029/2010GL046478.
  52. Ward, A., C. Griner, D. Vane, C. Trepte, A. Buis, C. Rink, and K. Lorentz (2005), CloudSat and CALIPSO: Unveiling the Mysteries of Clouds and Aerosols, The Earth Observer, 17(5), 9–13.
  53. Woods, C. P., D. E. Waliser, J.-L. Li, R. T. Austin, G. L. Stephens, and D. G. Vane (2008), Evaluating CloudSat ice water content retrievals using a cloud- resolving model: Sensitivities to frozen particle properties, J. Geophys. Res., 113, D00A11, doi:10.1029/2008JD009941.
  54. Wu, D. L., R. T. Austin, M. Deng, S. L. Durden, A. J. Heymsfield, J. H. Jiang, A. Lambert, J.-L. Li, N. J. Livesey, G. M. McFarquhar, J. V. Pittman, G. L. Stephens, S. Tanelli, D. G. Vane, and D. E. Waliser (2009), Comparisons of global cloud ice from MLS, CloudSat, and correlative data sets, J. Geophys. Res., 114, D00A24, doi:10.1029/2008JD009946.
  55. Yang, S. and X. Zou (2012), Assessments of cloud liquid water contributions to GPS radio occultation refractivity using measurements from COSMIC and CloudSat, J. Geophys. Res., 117, D06219, doi:10.1029/2011JD016452.
  56. Young, A. H., J. J. Bates, and J. A. Curry (2013), Application of cloud vertical structure from CloudSat to investigate MODIS-derived cloud properties of cirriform, anvil, and deep convective clouds, J. Geophys. Res., 118(10), 4689–4699, doi:10.1002/jgrd.50306.