A42F:
Microphysical and Macroscopic Properties of Ice Clouds and Mixed-Phase Clouds: Linking In Situ, Remote Sensing Observations and Multiscale Models I

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Session ID#: 16289

Session Description:
Ice and mixed-phase clouds have large impacts on Earth’s climate. A composite analysis of in-situ, remote sensing observations and multi-scale model simulations is needed for understanding their formation and evolution.

We encourage studies that combine observations and model simulations on various scales to improve the capabilities of these approaches to investigate ice and mixed-phase clouds, and to quantify their impacts on regional and global climate. Relevant topics include: (1) observationally-based analyses of ice and mixed-phased clouds from cloud scales to regional and global scales, (2) assessments of ice crystal and liquid droplet microphysical properties, (3) cloud macrophysical characteristics, including spatial extent, heterogeneities and temporal variabilities, (4) sub-grid scale variabilities of relative humidity, water vapor, temperature and vertical velocity in model parameterizations, (5) radiative forcing of ice and mixed-phased clouds from observations, reanalysis data and model simulations, (6) observationally-constrained estimates of the climate impacts of ice and mixed-phase clouds.

Primary Convener:  Minghui Diao, San Jose State University, Department of Meteorology and Climate Science, San Jose, CA, United States
Conveners:  Jorgen B Jensen, University Corporation for Atmospheric Research, Boulder, CO, United States, Xiaohong Liu, Texas A&M University, College Station, United States and Jiwen Fan, Pacific Northwest National Laboratory, Richland, United States
Chairs:  Minghui Diao, San Jose State University, Department of Meteorology and Climate Science, San Jose, CA, United States and Jorgen B Jensen, University Corporation for Atmospheric Research, Boulder, CO, United States
OSPA Liaison:  Minghui Diao, San Jose State University, Department of Meteorology and Climate Science, San Jose, CA, United States
Co-Organized with:
Global Environmental Change, and Global Environmental Change

Proposed Co-Organized Session with:
  • GC - Global Environmental Change
Index Terms:

0305 Aerosols and particles [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0320 Cloud physics and chemistry [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0321 Cloud/radiation interaction [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0365 Troposphere: composition and chemistry [ATMOSPHERIC COMPOSITION AND STRUCTURE]

Abstracts Submitted to this Session:

The Dependence of Homo- and Heterogeneously Formed Cirrus Clouds on Latitude, Season and Surface-type based on a New CALIPSO Remote Sensing Method (Invited) (124356)
David L Mitchell, Desert Research Institute, Reno, NV, United States, Anne Garnier, Analytical Mechanics Associates, Hampton, United States, John Mejia, Desert Research Institute, Division of Atmospheric Sciences, Reno, United States, Melody A Avery, NASA Langley Research Center, Hampton, VA, United States and Ehsan Erfani, Desert Research Institute Reno, Reno, NV, United States
Bimodality and variability of particle size distributions in high Ice Water Content regions and their implications for microphysical models (163505)
Shichu Zhu1, Greg M McFarquhar2, Delphine Leroy3, Alexei Korolev4, Alfons Schwarzenboeck3, Wei Wu5 and J Walter Strapp6, (1)University of Illinois at Urbana Champaign, Urbana, IL, United States, (2)University of Oklahoma, Cooperative Institute for Mesoscale Meteorological Studies and School of Meteorology, Norman, OK, United States, (3)Laboratoire de Météorologie Physique Observatoire de Physique du Globe de Clermont-Ferrand, Aubiere Cedex, France, (4)Environment Canada Toronto, Cloud Physics and Severe Weather Section, Toronto, ON, Canada, (5)Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States, (6)Met Analytics Inc., Aurora, ON, Canada
Small-scale variability in tropical tropopause layer humidity (Invited) (148960)
Eric J Jensen1, Rei Ueyama2, Leonhard Pfister2, Bernd Karcher3, Aurelien Podglajen4, Glenn S Diskin5, Joshua P DiGangi6, Troy D Thornberry7, Andrew W Rollins7, Thaopaul V Bui8, Sarah Woods9 and Paul Lawson10, (1)National Center for Atmospheric Research, Atmospheric Chemistry Observations and Modeling Laboratory, Boulder, CO, United States, (2)NASA Ames Research Center, Moffett Field, CA, United States, (3)German Aerospace Center DLR Oberpfaffenhofen, Institute of Atmospheric Physics, Oberpfaffenhofen, Germany, (4)Laboratoire de Météorologie Dynamique-IPSL CNRS/PSL-ENS/Sorbonne Université/Ecole Polytechnique, Paris, France, (5)NASA Langley Research Center, Hampton, United States, (6)NASA Langley Research Center, Hampton, VA, United States, (7)NOAA Chemical Sciences Laboratory, Boulder, United States, (8)NASA Ames Research Center, Moffett Field, United States, (9)SPEC Inc., Boulder, CO, United States, (10)SPEC Inc, Boulder, CO, United States
Comparisons of mixed-phase clouds and relative humidity distributions between in-situ observations and multi-resolution CAM5 simulations (161112)
Dr. John D'Alessandro, San Jose State University, San Jose, United States, Minghui Diao, San Jose State University, Department of Meteorology and Climate Science, San Jose, CA, United States, Chenglai Wu, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China and Xiaohong Liu, Texas A&M University, College Station, United States
Cloud-Resolving Modeling Intercomparison Study of a Squall Line Case from MC3E – Properties of Convective Core (135125)
Jiwen Fan1, Bin Han2, Adam Varble3, Hugh Morrison4, Kirk North5, Pavlos Kollias6, Baojun Chen2, Xiquan Dong7, Scott E Giangrande8, Alexander Khain9, Yun Lin10, Edward Mansell11, Jason Milbrandt12, Ronald Stenz7, Gregory Thompson13 and Yuan Wang14, (1)Pacific Northwest National Laboratory, Richland, United States, (2)Nanjing University, School of Atmospheric Sciences, Nanjing, China, (3)Pacific Northwest National Laboratory, Richland, WA, United States, (4)National Center for Atmospheric Research, Boulder, CO, United States, (5)McGill University, Montreal, QC, Canada, (6)Stony Brook University, Stony Brook, NY, United States, (7)University of North Dakota, Grand Forks, ND, United States, (8)Brookhaven National Laboratory, Environmental Science and Technologies Department, Upton, United States, (9)Hebrew University of Jerusalem, Department of Atmospheric Sciences, Jerusalem, Israel, (10)Texas A & M University College Station, College Station, TX, United States, (11)National Severe Storms Lab, Norman, United States, (12)Environment and Climate Change Canada, Meteorology Research Division, Dorval, QC, Canada, (13)University Corporation for Atmospheric Research, Boulder, CO, United States, (14)California Institute of Technology, Pasadena, CA, United States
The vertical structure of convectively-driven cloud microphysics and its dependency on atmospheric conditions: An investigation through observations and modeling (128593)
Bastiaan van Diedenhoven, Columbia University of New York, Palisades, NY, United States, Ann M Fridlind, NASA Goddard Institute for Space Studies, New York, NY, United States, Dr. Kenneth Sinclair, PhD, Columbia University of New York, Earth and Environmental Engineering, Palisades, NY, United States and Andrew S Ackerman, NASA Goddard Institute for Space Studies, New York, United States
Microphysical and macrophysical characteristics of ice and mixed-phase clouds compared between in-situ observations from the NSF ORCAS campaign and the NCAR Community Atmospheric Model (149900)
Minghui Diao, San Jose State University, Department of Meteorology and Climate Science, San Jose, CA, United States, Dr. John D'Alessandro, San Jose State University, San Jose, United States, Chenglai Wu, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, Xiaohong Liu, Texas A&M University, College Station, United States and Jorgen B Jensen, University Corporation for Atmospheric Research, Boulder, CO, United States
New Satellite Estimates of Mixed-Phase Cloud Properties: A Synergistic Approach for Application to Global Satellite Imager Data (178123)
William L Smith Jr1, Douglas Spangenberg2, Cecilia Fleeger2, Sunny Sun-Mack3, Yan Chen4 and Patrick Minnis5, (1)NASA Langley Research Center, Hampton, VA, United States, (2)Science Systems & Applications, Inc., Hampton, VA, United States, (3)Science Systems and Applications, Inc., Hampton, VA, United States, (4)Science Systems and Applications, Inc., Hampton, United States, (5)NASA Langley Research Center, Hampton, United States

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