Atmospheric Chemistry and Physics Discussions www.atmos-chem-phys-discuss.net 1680-7367 1680-7375 7 2 2007 10.5194/acpd-7-4065-2007 http://www.atmos-chem-phys-discuss.net/7/4065/2007/ http://www.atmos-chem-phys-discuss.net/7/4065/2007/acpd-7-4065-2007.html http://www.atmos-chem-phys-discuss.net/7/4065/2007/acpd-7-4065-2007.pdf 4065 4083 2007-03-28 Global statistics of liquid water content and effective number density of water clouds over ocean derived from combined CALIPSO and MODIS measurements Y. Hu yongxiang.hu-1@nasa.gov M. Vaughan C. McClain M. Behrenfeld H. Maring D. Anderson S. Sun-Mack D. Flittner J. Huang B. Wielicki P. Minnis C. Weimer C. Trepte R. Kuehn NASA Langley Research Center, Hampton, VA, USA NASA Goddard Space Flight Center, Greenbelt, MD, USA Oregon State University, Corvallis, OR, USA NASA Headquarter, Washington, D.C., USA Ball Aerospace & Technologies Corp., Builder, CO, USA This study presents an empirical relation that links layer integrated depolarization ratios, the extinction coefficients, and effective radii of water clouds, based on Monte Carlo simulations of CALIPSO lidar observations. Combined with cloud effective radius retrieved from MODIS, cloud liquid water content and effective number density of water clouds are estimated from CALIPSO lidar depolarization measurements in this study. Global statistics of the cloud liquid water content and effective number density are presented. Breon, F. M. and Goloub, P.: Cloud droplet. effective radius from spaceborne polarization. measurements, Geophys. Res. Lett., 25, 1879–1992, 1998. Charlson, R. J., Lovelock, J. E., Andreae, M. O., and Warren, S. G.: Oceanic phytoplankton, atmospheric sulfur, cloud albedo and climate, Nature, 326, 655–661, 1987. Chu, S., Elliott, S., Maltrud, M., et al.: Ecodynamic and Eddy-Admitting Dimethyl Sulfide Simulations in a Global Ocean Biogeochemistry/Circulation Model, Earth Interactions, 8, doi:10.1175/1087-3562, 2004. Gerber, H., Jensen, J. B., Davis, A. B., Marshak, A., and Wiscombe, W. J.: Spectral Density of Cloud Liquid Water Content at High Frequencies, J. Atmos. Sci., 58, 497–503, 2001. Han, Q., Rossow, B., Chou, J., and Welch, R.: Global Survey of the Relationships of Cloud Albedo and Liquid Water Path with Droplet Size Using ISCCP, J. Climate, Vol. 11, 1616–1528, 1998. Hu, Y. and Stamnes, K.: An accurate parameterization of cloud radiative properties suitable for climate models, J. Climate, Vol. 6, No. 4., 728–742, 1993. Hu, Y., Winker, D., Yang, P., Baum, B., Poole, L., and Vann, L.: Identification of cloud phase from PICASSO-CENA lidar depolarization: A multiple scattering sensitivity study, J. Quant. Spectros. Radiat. Trans., 70, 569–579, 2001. Hu, Y., Liu, Z., Winker, D., Vaughan, M., Noel, V., Bissonnette, L., Roy, G., and McGill, M.: A simple relation between lidar multiple scattering and depolarization for water clouds, Optics Letters, 31, 1809–1811, 2006. Miles, N. J., Verlinde, J., and Clothiaux, E. E.: Cloud droplet size distributions in low-level stratiform clouds, J. Atmos. Sci., 57, 295–311, 2000. Meskhidze, N. and Nenes, A.: Phytoplankton and cloudness in the southern ocean, Science, 314, 1919, 2006. Shaw, G.: Aerosols as climate regulators: a climate-biosphere linkage?, Atmos. Environ., 21, 985–986, 1987. Minnis, P., Kratz, D. P., Coakley Jr., J. A., King, M. D., Garber, D., Heck, P., Mayor, S., Young, D. F., and Arduini, R.: Cloud Optical Property Retrieval (Subsystem 4.3), in: Clouds and the Earth's Radiant Energy System (CERES) Algorithm Theoretical Basis Document, Volume III: Cloud Analyses and Radiance Inversions (Subsystem 4), NASA RP1376, Vol. 3, edited by: CERES Science Team, 135–176, 1995. Minnis, P., Geier, E., Wielicki, B., et al.: Overview of CERES cloud properties from VIRS and MODIS, Proc. AMS 12th Conf. Atmos. Radiation, Madison, WI, July 10–14, CD-ROM, J2.3, 2006. Minnis, P., Garber, D. P., Young, D. F., Arduini, R. F., and Takano, Y.: Parameterization of reflectance and effective emittance for satellite remote sensing of cloud properties, J. Atmos. Sci., 55, 3313–3339, 1998.