A31I:
Cloud Observations and Uncertainties IV Posters

Wednesday, 17 December 2014: 8:00 AM-12:20 PM
Chairs:  Eugene Edmund Clothiaux, Penn State, University Park, PA, United States and Shaocheng Xie, Lawrence Livermore National Laboratory, Livermore, CA, United States
Primary Conveners:  Chuanfeng Zhao, Beijing Normal University, College of Global Change and Earth System Science, Beijing, China
Co-conveners:  Eugene Edmund Clothiaux, Penn State, University Park, PA, United States, Shaocheng Xie, Lawrence Livermore Nat''l Lab, Livermore, CA, United States and Xiquan Dong, University of North Dakota, Grand Forks, ND, United States
OSPA Liaisons:  Shaocheng Xie, Lawrence Livermore National Laboratory, Livermore, CA, United States

Abstracts Submitted to this Session:

 
Comparing Cirrus Cloud Formation and Evolution Using in Situ Aircraft Observations and a Cloud Resolving Model
Minghui Diao1,2, Jorgen B Jensen2, George H Bryan3, Hugh Morrison4 and Daniel P Stern5, (1)National Center for Atmospheric Research, Advanced Study Program (ASP), Boulder, CO, United States, (2)NCAR Researc Aviation Facility, Broomfield, CO, United States, (3)National Center for Atmospheric Research, Mesoscale & Microscale Meteorology Division, Boulder, CO, United States, (4)NCAR, Boulder, CO, United States, (5)National Center for Atmospheric Research, Boulder, CO, United States
 
Analyses of Semi-transparent Cirrus Clouds Using Combined Retrievals of CALIPSO Radiometer and Lidar Measurements
Anne Garnier1, Mark Vaughan2, Jacques Robert Pelon3, David M Winker4, Charles R Trepte4 and Philippe Dubuisson5, (1)Science Systems and Applications, Inc. Hampton, Hampton, VA, United States, (2)NASA, Hampton, VA, United States, (3)CNRS, Paris, France, (4)NASA Langley Research Center, Hampton, VA, United States, (5)Lab. d'Optique Atmosphérique, Villeneuve D'Ascq, France
 
Statistical Analysis of Cloud Properties Around China Region Using MODIS
Min Lv1, Chuanfeng Zhao1, Zhanqing Li2 and Qianqian Wang1, (1)Beijing Normal University, College of Global Change and Earth System Science, Beijing, China, (2)Univ of Maryland College Park, College Park, MD, United States
 
Satellite Inference of Thermals and Cloud Base Updraft Speeds Based on Retrieved Surface and Cloud Base Temperatures
Youtong Zheng, University of Maryland College Park, College Park, MD, United States, Daniel Rosenfeld, Hebrew University of Jerusalem, Jerusalem, Israel and Zhanqing Li, Univ of Maryland College Park, College Park, MD, United States
 
A Comparison of MODIS-Derived Cloud Amount with Surface Observations at Five SURFRAD Sites
Ning An, BNU Beijing Normal University, Beijing, China and Kaicun Wang, Beijing Normal University, Beijing, China
 
Building a 15-Year Cloud Climatology using Lidar in Space Observations: CALIOP and CloudSat now, EarthCARE next.
Mathieu Reverdy1, Hélène Chepfer2, David P Donovan3, Vincent Noel4, Roger Marchand5, Grégory Cesana6, Christophe Hoareau7, Marjolaine Chiriaco8 and Sophie Bastin8, (1)Ecole Polytechnique, Palaiseau Cedex, France, (2)Laboratoire de Météorologie Dynamique Palaiseau, Palaiseau Cedex, France, (3)Royal Netherlands Meteorological Institute, De Bilt, Netherlands, (4)LMD, Palaiseau, France, (5)University of Washington, Department of Atmospheric Sciences, Seattle, WA, United States, (6)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (7)Laboratoire de Météorologie Dynamique, Palaiseau Cedex, France, (8)LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales, Paris Cedex 05, France
 
Circcrex: A New Cirrus Dataset for Model Evaluation
Cathryn Fox1, Juliet C Pickering2 and Jonathan E Murray2, (1)Imperial College London, London, SW7, United Kingdom, (2)Imperial College London, London, United Kingdom
 
Impact of Cloud Vertical and Horizontal Inhomogeneity on Multi-Spectral Retrieval of Liquid Water Cloud Properties: A Study for the GCOM-C/SGLI Cloud Product by Using A-Train and Landsat-8 Measurements
Takashi M. Nagao1, Husi Letu2 and Takashi Y. Nakajima2, (1)Japan Aerospace Exploration Agency, Earth Observation Research Center, Tsukuba, Japan, (2)Tokai University, Research and Information Center, Tokyo, Japan
 
Comparing sources of variability in cloud-characterized HIRS radiances
Paul Staten1, Brian H Kahn1, Mathias M Schreier2 and Andrew K Heidinger3, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)JPL, Pasadena, CA, United States, (3)NOAA/NESDIS, Madison, WI, United States
 
View Angle Dependence of MODIS Liquid Water Path Retrievals in Warm Oceanic Clouds
Akos Horvath1, Chellappan Seethala2 and Hartwig Deneke1, (1)Leibniz Institute for Tropospheric Research, Leipzig, Germany, (2)Scripps Institution of Oceanography, Climate, Atmospheric Science & Physical Oceanography, La Jolla, CA, United States
 
CloudSat and Aura MLS Constrain upon Ice Cloud Particle Size Distribution
Luis F Millan Valle, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Nathaniel J Livesey, Jet Propulsion Laboratory, Pasadena, CA, United States and William George Read, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
 
Statistically analyzing indirect effects of increased SO2 Low Level Maritime Clouds using A-Train Satellite Observations
Adam C Abernathy, University of Utah, Salt Lake City, UT, United States and Gerald G Mace, Univ Utah, Salt Lake City, UT, United States
 
A Global Cloud Detection Approach for Geostationary Satellites
Qing Trepte1, Patrick Minnis2, Rabindra Palikonda1, J Kirk Ayers1, Baojuan Shan1 and Christopher R Yost1, (1)Science Systems and Applications, Inc. Hampton, Hampton, VA, United States, (2)Nasa Larc, Hampton, VA, United States
 
Quantifying the Climate-Scale Accuracy of Satellite Cloud Retrievals
Yolanda Roberts, NASA, Hampton, VA, United States, Bruce A Wielicki, NASA Langley Research Center, Hampton, VA, United States, Sunny Sun-Mack, Science Systems and Applications, Inc. Hampton, Hampton, VA, United States, Patrick Minnis, Nasa Larc, Hampton, VA, United States, Lusheng Liang, SSAI, Hampton, VA, United States and Larry Di Girolamo, University of Illinois, Urbana, IL, United States
 
MODIS Collection 6 Shortwave-Derived Cloud Phase Discrimination Algorithm and comparisons with CALIOP and POLDER
Benjamin Marchant1,2, Steven E Platnick1, Thomas Arnold1,3, Kerry Meyer1,2 and Jérôme Riedi4, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Universities Space Research Association Greenbelt, Greenbelt, MD, United States, (3)Science Systems and Applications, Inc., Lanham, MD, United States, (4)Laboratoire d'Optique Atmosphérique (Lille), Villeneuve, France
 
A mid-latitude cirrus cloud climatology from MPLNET at the Goddard Space Flight Center in Greenbelt, MD
Jasper R Lewis, Joint Center for Earth Systems Technology, Baltimore, MD, United States, James R Campbell, Naval Research Lab, Monterey, CA, United States and Ellsworth Judd Welton, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Evaluation results of the optimal estimation based, multi-sensor cloud property data sets derived from AVHRR heritage measurements in the Cloud_cci project.
Stefan Stapelberg, Matthias Jerg, Martin Stengel and Rainer Hollmann, Deutscher Wetterdienst (DWD), Offenbach am Main, Germany
 
Cirrus Cloud Radiative Characteristics from Continuous MPLNET Profiling at GSFC in 2012
Simone Lolli, NASA GSFC (JCET-UMBC), Greenbelt, MD, United States, Jasper R Lewis, Joint Center for Earth Systems Technology, Baltimore, MD, United States, James R Campbell, Naval Research Lab, Monterey, CA, United States, Ellsworth Judd Welton, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Yu Gu, University of California Los Angeles, Los Angeles, CA, United States
 
Improving Estimates of Cloud Properties Through the Application of an Adiabatic Spectrally Consistent Retrieval to the MODIS Cloud Product
John Rausch1, Ralf Bennartz1, Vincent Puygrenier2 and Jean-Louis Brenguier3, (1)University of Wisconsin Madison, Madison, WI, United States, (2)LSCE, Gif Sur Yvette, France, (3)Météo-France Toulouse, Toulouse Cedex 01, France
 
Cloud vertical structure and the impact of MODIS liquid water path retrieval assumptions: Developing a theoretical framework and evaluating retrievals using large-eddy simulations
Daniel J Miller, University of MD Baltimore County, Baltimore, MD, United States, Zhibo Zhang, University of Maryland Baltimore County, Baltimore, MD, United States, Steven E Platnick, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Andrew S Ackerman, NASA Goddard Institute for Space Studies, New York, NY, United States
 
Characterizing Uncertainty in a New Patmos-x Merged AVHRR/Hirs Cloud Record
Michael J Foster1, Andrew K Heidinger2, Michael Hiley1 and Denis Botambekov1, (1)Cooperative Institute for Meteorological Satellite Studies, Madison, WI, United States, (2)NOAA/NESDIS, Madison, WI, United States
 
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