A21K:
Processes of (Sub)Cloud Scales: Modeling, Observation, and Parameterization for Larger-Scale Models I Posters


Submit an Abstract to this Session


Session ID#: 47377

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 pose particular challenges to modeling studies, observations, as well as parameterization development. Such parameterizations will likely become more important as weather and climate models increase their resolutions. 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, process coupling, 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
Primary Liaison:  Yangang Liu, Brookhaven National Laboratory, Upton, United States
Chairs:  Yangang Liu, Brookhaven National Laboratory, Upton, United States and Leo Donner, NOAA Geophysical Fluid Dynamics Laboratory, Princeton, United States
OSPA Liaison:  Yangang Liu, Brookhaven National Laboratory, Upton, United States

Cross-Listed:
  • NG - Nonlinear Geophysics
Index Terms:

3307 Boundary layer processes [ATMOSPHERIC PROCESSES]
3310 Clouds and cloud feedbacks [ATMOSPHERIC PROCESSES]
3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]
3314 Convective processes [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Representing the Effect of Radiation on Warm Rain Initiation (343376)
Xiping Zeng, US Army Research Laboratory, White Sands Missile, NM, United States
Confronting a multi-plume scheme with observations of continental shallow convection (362755)
Philipp Johannes Griewank1, Roel Neggers1, Thijs Heus2 and Neil Lareau3, (1)University of Cologne, Cologne, Germany, (2)Cleveland State University, Solon, OH, United States, (3)University of Nevada Reno, Reno, United States
Turbulence influence on cloud droplet growth: A computational investigation of the Pi Chamber using large eddy simulation (371289)
Subin Thomas1, Mikhail Ovchinnikov2, Fan Yang3 and Raymond A Shaw1, (1)Michigan Technological University, Houghton, MI, United States, (2)Pacific Northwest National Laboratory, Richland, United States, (3)Michigan Technological University, Houghton, United States
Modeling of Cloud Microphysics: Can We Do Better? (379496)
Wojciech Grabowski1, Hugh Morrison2, Shin-ichiro Shima3, Gustavo Abade4, Piotr Dziekan4 and Hanna Pawlowska4, (1)NCAR, MMM Laboratory, Boulder, CO, United States, (2)NSF NCAR, MMM Laboratory, Boulder, United States, (3)University of Hyogo and RIKEN Center for Computational Science, Kobe, Japan, (4)Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland
Observed impacts of liquid water content on relative dispersion of the cloud droplet size distribution in heavy polluted continental clouds. (383369)
Meng Zhang, Tsinghua University, Beijing, China, Yiran Peng, Tsinghua University, Department of Earth System Science, Beijing, China, Yanmei Qiu, Beijing Normal University, Global change and earth system science, Beijing, China, Chuanfeng Zhao, Beijing Normal University, College of Global Change and Earth System Science, Beijing, China and Xiaobo Dong, Weather Modification Office of Hebei Province, Hebei, China
Exploring Machine Learning Models for Cloud Microphysics Parameterizations (392856)
Yangang Liu, Brookhaven National Laboratory, Upton, United States, Jingyi Chen, Pacific Northwest National Laboratory, Richland, WA, United States, Guokun Lai, Carnegie Mellen University, Pittsburgh, United States, Yiming Yang, Carnegie Mellon Unversity, Pittsberg, United States and Shinjae Yoo, Brookhaven National Laboratory, Upton, NY, United States
Characterizing Local Variability in Cloud Droplet Size Distributions using Digital In-line Holography (395983)
Neel Desai, Michigan Technological University, Atmospheric Sciences Program, Houghton, MI, United States, Susanne Glienke, Johannes Gutenberg University of Mainz, Mainz, Germany, Will H Cantrell, Michigan Technological University, Physics and Atmospheric Sciences, Houghton, MI, United States and Raymond A Shaw, Michigan Technological University, Houghton, MI, United States
Evaluation of autoconversion and accretion enhancement factors in GCM warm-rain parameterizations using ground-based measurements at the Azores (400191)
Peng Wu1, Xiquan Dong2, Baike Xi2 and Zhibo Zhang3, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States, (3)University of Maryland Baltimore County, Department of Physics, Baltimore, MD, United States
Unified Representation of Boundary Layer, Convection and Clouds in Climate and Weather Prediction Models (410653)
Kay Suselj1, Joao Teixeira2 and Marcin Kurowski2, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Bin Microphysics Process Parameterizations in a Bulk Scheme for Simulations of Warm Phase Clouds (411617)
Adele L Igel, University of California Davis, Land, Air and Water Resources, Davis, United States
The Importance of Considering Sub-grid Cloud Variability When Using Satellite Observations to Evaluate the Cloud and Precipitation Simulations in Climate Models (415681)
Hua Song, University of Maryland Baltimore County, Baltimore, MD, United States, Zhibo Zhang, University of Maryland Baltimore County, Department of Physics, Baltimore, MD, United States, Po-Lun Ma, Pacific Northwest National Laboratory, Richland, WA, United States and Minghuai Wang, Nanjing University, School of Atmospheric Sciences, Nanjing, China
Estimating Bulk Entrainment for Deep Convection – from Idealized to Realistic Simulations (419427)
Tobias Becker and Cathy Hohenegger, Max Planck Institute for Meteorology, Hamburg, Germany
WRF high resolution simulation of an extreme rainfall event over Nepal: a case study of August 11-12,2017 event. (428379)
Jeevan Bhandari, Tribhuwan University, Shivasatakshi,07,Dudhe,Jhapa, Nepal
The Impact of Meteorological Conditions and Aerosol Concentrations on Shallow Marine Clouds (429558)
Tomi Raatikainen1, Jaakko Ahola1, Muzaffer Ege Alper1, Kalle Nordling1, Petri Räisänen1, Juha Tonttila2, Sami Romakkaniemi2, Harri Kokkola3, Eimear Dunne4 and Hannele Korhonen1, (1)Finnish Meteorological Institute, Helsinki, Finland, (2)Finnish Meteorological Institute, Atmospheric Research Centre of Eastern Finland, Kuopio, Finland, (3)Finnish Meteorological Institute, Kuopio, Finland, (4)University of Cambridge, Department of Geography, Cambridge, United Kingdom
Observationally constrained estimates of bulk entrainment rate for evaluation of large-eddy simulation (443856)
Michael P Jensen1, Tami Fairless1, Satoshi Endo1, Andrew M Vogelmann2 and Aifang Zhou3, (1)Brookhaven National Laboratory, Upton, NY, United States, (2)Brookhaven Natl Lab, Upton, United States, (3)Brookhaven National Laboratory, Upton, United States
Marine Boundary Layer Height and Cloud Entrainment Rate over the Eastern Pacific (458961)
Feiqin Xie, Texas A&M University Corpus Christi, Corpus Christi, TX, United States and Loknath Adhikari, University of Maryland, College Park, MD, United States
Warm cloud properties simulated by the Community Earth System Model with a sectional warm cloud microphysics scheme (459908)
Lu Wang, University of Colorado Boulder, Laboratory for Atmospheric and Space Physics, Boulder, United States and Brian Toon, University of Colorado at Boulder, ATOC/LASP, Boulder, CO, United States
Insights into Cold Cloud Microphysical Processes Using Radar Doppler Spectra (465536)
Edward P Luke1, Fan Yang1, Pavlos Kollias1,2, Andrew M Vogelmann1 and Maximilian Maahn3, (1)Brookhaven National Laboratory, Upton, United States, (2)Stony Brook University, Stony Brook, NY, United States, (3)University of Colorado Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, United States

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