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Filtered by keyword:cloud properties

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  1. Baran, A. J., P. J. Connolly, A. J. Heymsfield, and A. Bansemer (2010), Using in situ estimates of ice water content, volume extinction coefficient, and the total solar optical depth obtained during the tropical ACTIVE campaign to test an ensemble model of cirrus ice crystalsQ. J. R. Meteorol. Soc., doi:10.1002/qj.731.
  2. Gordon, N. D. and J. R. Norris (2010), Cluster analysis of midlatitude oceanic cloud regimes: mean properties and temperature sensitivityAtmos. Chem. Phys., 10, 6435–6459, doi:10.5194/acp-10-6435-2010.
  3. Harshvardhan, R. C. E. Jr. (1995), Simple parameterizations of the radiative properties of cloud layers: a reviewAtmos. Res., 35, 113–125.
  4. Heymsfield, A. J. and C. D. Westbrook (2010), Advances in the Estimation of Ice Particle Fall Speeds Using Laboratory and Field MeasurementsJ. Atmos. Sci., 67, 2469–2482, doi:10.1175/2010JAS3379.1.
  5. Jakob, C. and G. Tselioudis (2003), Objective identification of cloud regimes in the Tropical Western PacificGeophys. Res. Lett., 30(21), doi:10.1029/2003GL018367.
  6. L'Ecuyer, T. S., P. Gabriel, K. Leesman, S. J. Cooper, 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 I: Liquid CloudsJ. Appl. Meteorol. Clim., 45, 20–41.
  7. Lin, B., P. Minnis, B. Wielicks, D. R. Doelling, R. Palikonda, D. F. Young, and T. Uttal (1998), Estimation of water cloud properties from satellite microwave, infrared and visible measurements in oceanic environments 2. ResultsJ. Geophys. Res., 103(D4), 3887–3905.
  8. Lin, B., B. Wielicks, P. Minnis, and W. Rossow (1998), Estimation of water cloud properties from satellite microwave, infrared and visible measurements in oceanic environments 1. Microwave brightness temperature simulationsJ. Geophys. Res., 103(D4), 3873–3886.
  9. Mace, G. G., Y. Zhang, S. Platnick, M. D. King, P. Minnis, and P. Yang (2005), Evaluation of Cirrus Cloud Properties Derived from MODIS Data Using Cloud Properties Derived from Ground-Based Observations Collected at the ARM SGP SiteJ. Appl. Meteorol., 44(2), 221–240, doi:10.1175/JAM2193.1.
  10. Mace, G. G. (2009), Cloud properties and radiative forcing over the maritime storm tracks of the Southern Ocean and North Atlantic derived from A-TrainJ. Geophys. Res., 115, D10201, doi:10.1029/2009JD012517.
  11. Nasiri, S. L. and B. H. Kahn (2008), Limitations of Bispectral Infrared Cloud Phase Determination and Potential for ImprovementJ. Appl. Meteorol. Clim., 47(D34), 1–2000, doi:10.1175/2008JAMC1879.1.
  12. Platt, C. M. R. (1979), Remote Sounding of High Clouds: I. Calculation of Visible and Infrared Optical Properties from Lidar and Radiometer MeasurementsJ. Appl. Meteorol., 18, 1130–1143.
  13. Posselt, D. J., T. S. L'Ecuyer, and G. L. Stephens (2008), Exploring the error characteristics of thin ice cloud property retrievals using a Markov chain Monte Carlo algorithmJ. Geophys. Res., 113, D24206, doi:10.1029/2008JD010832.
  14. Strabala, K. I., S. A. Ackerman, and W. P. Menzel (1994), Cloud properties inferred from 8–12-μm dataJ. Appl. Meteorol., 33(2), 212–229.
  15. Stubenrauch, C. J., A. Chedin, G. Rädel, N. A. Scott, and S. Serrar (2006), Cloud properties and their seasonal and diurnal variability from TOVS Path-BJ. Climate, 19, 5531–5553.