A31M:
Processes of Sub-Cloud Scales: Modeling, Observation, and Parameterization for Larger-Scale Models I

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Session ID#: 16359

Session Description:
Clouds continue to defy our understanding and are major sources of uncertainty in weather forecasting and climate projection. Key to addressing such outstanding cloud challenges are the processes that occur on space-time scales at individual clouds or smaller, including entrainment/detrainment, turbulent mixing, turbulence, cloud microphysics, boundary layer processes, radiation; and process interactions. These sub-cloud processes, whose parameterizations will likely become more important as weather and climate models increase their resolutions, pose particular challenges to modeling studies, observations, as well as parameterization development..This session focuses on modeling (e.g., CRM, LES and DNS), observation, and parameterization of such sub-cloud processes. Also invited are studies on unified treatment of different processes, and integration from observations to theories to models.
Primary Convener:  Yangang Liu, Brookhaven National Laboratory, Upton, United States
Conveners:  Leo Donner, NOAA Geophysical Fluid Dynamics Laboratory, Princeton, United States and Pavlos Kollias, Stony Brook University, Stony Brook, NY, United States
Chairs:  Pavlos Kollias, Stony Brook University, Stony Brook, NY, United States, Leo Donner, NOAA Geophysical Fluid Dynamics Laboratory, Princeton, United States and Yangang Liu, Brookhaven National Laboratory, Upton, United States
OSPA Liaison:  Yangang Liu, Brookhaven National Laboratory, Upton, United States
Index Terms:

3307 Boundary layer processes [ATMOSPHERIC PROCESSES]
3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]
3354 Precipitation [ATMOSPHERIC PROCESSES]
3359 Radiative processes [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

A case for missing cloud physics in climate models (Invited) (120873)
Travis Allen O'Brien1,2, William Drew Collins3,4, Sara Rauscher5, Karthik Kashinath6, Oliver Rübel7, Suren Byna7, Junmin Gu8, Hari Krishnan8, Paul Aaron Ullrich2,9 and Leo Donner10, (1)Lawrence Berkeley National Lab, Climate & Ecosystem Sciences Division, Berkeley, United States, (2)University of California Davis, Land, Air and Water Resources, Davis, CA, United States, (3)Lawrence Berkeley National Laboratory, Earth and Environmental Science, Berkeley, CA, United States, (4)University of California, Earth and Planetary Sciences Department, Berkeley, CA, United States, (5)University of Delaware, Newark, DE, United States, (6)NVIDIA Corporation, Santa Clara, CA, United States, (7)Lawrence Berkeley National Laboratory, Computational Research Division, Berkeley, CA, United States, (8)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (9)Lawrence Berkeley National Laboratory, Berkeley, United States, (10)NOAA Geophysical Fluid Dynamics Laboratory, Princeton, United States
Impact of entrainment on cloud droplet spectra: theory, observations, and modeling (Invited) (120728)
Wojciech Grabowski, NCAR, MMM Laboratory, Boulder, CO, United States
Contrasting microphysical characteristics of the clouds measured during the dry and wet seasons in Amazon and their implication on entrainment and mixing processes (191182)
Seong Soo Yum1, Jae Min Yeom2, Fan Mei, PhD3, Beat Schmid3, Jennifer M Comstock3, Luiz Machado4 and Micael Amore Cecchini4, (1)Yonsei University, Department of Atmospheric Sciences, Seoul, Korea, Republic of (South), (2)Yonsei University, Atmospheric Science, Seoul, Korea, Republic of (South), (3)Pacific Northwest National Laboratory, Richland, WA, United States, (4)INPE National Institute for Space Research, Sao Jose dos Campos, Brazil
Linking the boundary layer convection and cloud microphysics (199654)
Thara Prabhakaran1, Neelam Malap1, Subharthi Chowdhuri1, Sudarsan Bera1, Mahen Konwar1, Mercy Varghese1, Murugavel P1, Anandakumar Karipot2 and Anusha Sathyanadh3, (1)Indian Institute of Tropical Meteorology, Pune, India, (2)University of Pune, Pune, India, (3)University of Pune, Atmospheric and Space Sciences, Pune, India
Seeking deep convective parameter updates that improve tropical Pacific climatology in CESM using Pareto fronts (194907)
Baird Langenbrunner and J David Neelin, University of California Los Angeles, Los Angeles, CA, United States
The Sensitivity of Atmospheric Water Isotopes to Entrainment and Precipitation Efficiency in a Bulk Plume Model of Convection (196579)
Suqin Duan, Department of Earth System Science, Tsinghua University, Beijing, China, Jonathon S Wright, Tsinghua University, Beijing, China and David M Romps, University of California Berkeley, Berkeley, CA, United States
Relationship Between Turbulence and Drizzle in Continental and Marine Low Stratiform Clouds (183471)
Paloma Borque, McGill University, Montreal, QC, Canada, Edward P Luke, Brookhaven National Laboratory, Upton, United States and Pavlos Kollias, Stony Brook University, Stony Brook, NY, United States
Boundary Layer Controls on Shallow Cumulus Development at ARM-SGP (152789)
Neil Lareau, Yunyan Zhang and Stephen A Klein, Lawrence Livermore National Laboratory, Livermore, CA, United States
Vertical Overlap of Probability Density Functions of Cloud and Precipitation Hydrometeors (166927)
Mikhail Ovchinnikov1, Kyo-Sun Sunny Lim1, Vincent E Larson2, May Wong3, Katherine Thayer-Calder4 and Steven John Ghan1, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)University of Wisconsin-Milwaukee, Milwaukee, WI, United States, (3)NSF National Center for Atmospheric Research, Mesoscale and Microscale Meteorology Laboratory, Boulder, United States, (4)University of Wisconsin Milwaukee, Milwaukee, WI, United States
Retrieval of Images of Optical Depth of Thin Clouds at Centimeter Scales by High-Resolution Photography from the Surface (138913)
Stephen E Schwartz, Stony Brook University, Stony Brook, NY, United States, Dong Huang, Present Address, Science Systems and Applications, Inc., Lanham MD, United States; Brookhaven National Laboratory, Upton, NY, United States and Daniela Viviana Vladutescu, CUNY New York City College of Technology, Electrical and Telecommunications Engineering Technology Department, Brooklyn, NY, United States
Evaluating cumulus entrainment retrieval methods using large-eddy simulation (159637)
Sonja Drueke, McGill University, Montreal, QC, Canada, Daniel J Kirshbaum, McGill University, Atmospheric and Oceanic Sciences, Montreal, QC, Canada and Pavlos Kollias, Stony Brook University, Stony Brook, NY, United States

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