A186
Process-Oriented Analysis of Cloud and Precipitation Physics II Posters

Tuesday, 15 December 2020: 04:00-20:59
Poster
Primary Convener:  Johannes Mulmenstadt, Pacific Northwest National Laboratory, Richland, WA, United States
Conveners:  Kentaroh Suzuki, Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan and Minghuai Wang, Nanjing University, Nanjing, China
Primary Liaison:  Johannes Mulmenstadt, Pacific Northwest National Laboratory, Richland, WA, United States
Chairs:  Johannes Mulmenstadt, Pacific Northwest National Laboratory, Richland, WA, United States, Kentaroh Suzuki, Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan and Minghuai Wang, Nanjing University, Nanjing, China
OSPA Liaison:  Johannes Mulmenstadt, Pacific Northwest National Laboratory, Richland, WA, United States
 
Precipitation Efficiency’s Abstraction Art: Evaluating How Abstractions of Precipitation Efficiency in Microphysics Parameterizations Shape GCM Precipitation Outputs (697645)
Kaitlyn Loftus, Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States, Feng Ding, Harvard University, Paulson School of Engineering and Applied Sciences, Cambridge, MA, United States and Robin Wordsworth, Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, United States
 
A Lagrangian perspective on tropical anvil cloud lifecycle in present and future climate (670801)
Blaž Gasparini1, Phil Rasch2, Dennis L Hartmann1, Casey Wall3 and Marina Duetsch4, (1)University of Washington, Seattle, WA, United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States, (3)Scripps Institution of Oceanography, La Jolla, CA, United States, (4)University of Washington, Earth and Space Sciences, Seattle, WA, United States
 
Manifestation of Structural Differences Between Bin and Bulk Schemes (709983)
Arthur Hu and Adele L Igel, University of California Davis, Land, Air and Water Resources, Davis, CA, United States
 
Using Fully-Polarimetric Radar Observations and Microphysical Modeling to Understand Ice Precipitation Processes (684340)
Sarah Wugofski1, Matthew R Kumjian2, Jerry Y Harrington3, Mariko Oue4 and Pavlos Kollias4, (1)The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States, (2)The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, PA, United States, (3)Pennsylvania State Univ, University Park, PA, United States, (4)Stony Brook University, Stony Brook, NY, United States
 
Diagnosing the Shape Parameters of the Gamma Particle Size Distribution in a Two-Moment Microphysics Scheme and Improvements to Explicit Hail Prediction (666809)
Liping Luo, Hohai University, Nanjing, China, Ming Xue, Univ Oklahoma, Norman, OK, United States, Kefeng Zhu, Nanjing University, Nanjing, China and Zhaomin Wang, Hohai University, College of Oceanography, Nanjing, China
 
Polarimetric Doppler Radar-based Bayesian Estimation of Ice Crystal Growth Parameters within a Microphysical Model (675590)
Matthew R Kumjian, The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, PA, United States, Robert Schrom, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Marcus van Lier-Walqui, Columbia University, Center for Climate Systems Research, New York, NY, United States, Jerry Y Harrington, Pennsylvania State Univ, University Park, PA, United States, Anders A Jensen, National Center for Atmospheric Research, Boulder, CO, United States, Edwin Lee Dunnavan III, Cooperative Institute for Mesoscale Meteorological Studies, Norman, OK, United States and Sarah Wugofski, The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States
 
Sensitivity of Simulated Rain Microphysics to Rain Drop Parameters and Comparison with Observations (686582)
Kristen Renee Van Valkenburg1, Brenda Dolan2, Stephen Millican Saleeby1, Susan C van den Heever2 and Steven A Rutledge2, (1)Colorado State University, Atmospheric Science, Fort Collins, CO, United States, (2)Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States
 
Evaluation of hydrometeor types and properties in the ICON-LAM model with polarimetric radar observations (689523)
Velibor Pejcic, University of Bonn, Institute for Geosciences - Section Meteorology, Bonn, Germany, Silke Troemel, Meteorological Institute, Bonn, Germany and Clemens Simmer, University Bonn, Bonn, Germany
 
How did they get there? The Importance of the Particle History for the Ice Habit (721902)
Jan-Niklas Welß1, Axel Seifert1 and Christoph Siewert2, (1)Deutscher Wetterdienst (DWD), Offenbach am Main, Germany, (2)Deutscher Wetterdienst, Offenbach, Germany
 
Meteorological cloud-controlling factors counteract the effects of decreased aerosols on the fraction of marine boundary layer clouds over the East Coast of the United States (726751)
Yang Cao1, Minghuai Wang1, Daniel Rosenfeld2 and Yannian Zhu3, (1)Nanjing University, Nanjing, China, (2)Hebrew University of Jerusalem, Jerusalem, Israel, (3)Meteorological Institute of Shaanxi Province, Xi'an, China
 
Confronting Microphysical Uncertainty with BOSS (744317)
Karly Jackson Reimel1, Marcus van Lier-Walqui2, Matthew R Kumjian1, Hugh Morrison3 and Olivier Prat4, (1)Pennsylvania State University Main Campus, University Park, PA, United States, (2)Columbia University, Center for Climate Systems Research, New York, NY, United States, (3)NCAR, MMM Laboratory, Boulder, CO, United States, (4)Cooperative Institute for Climate and Satellites - NC, NOAA/NESDIS/NCEI, Asheville, NC, United States
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