A12F:
Process-Oriented Analysis of Cloud and Precipitation Physics II


Submit an Abstract to this Session


Session ID#: 58506

Session Description:
Cloud and precipitation processes remain one of the largest uncertainties in weather and climate modeling, affecting estimates of both greenhouse-gas-driven climate change and aerosol forcing. Significant progress has been made in recent years in observations (satellite, in-situ and ground-based) and high-resolution modeling of these processes. In this session, we solicit presentations that advance process understanding of cloud and precipitation physics and their representation in weather and climate models using observations and high-resolution modeling. This includes innovative use of observations and high-resolution modeling to diagnose key aspects of physical processes; it also includes applying process-oriented analysis to evaluate, constrain and improve cloud and precipitation parameterizations. Presentations on how process-based constraints on model physics improve our understanding of climate feedback and aerosol forcing are encouraged. The use of satellite simulators as tools to make scale-aware and definition-aware comparisons of models and observations is welcomed.
Primary Convener:  Minghuai Wang, Nanjing University, Nanjing, China
Conveners:  Johannes Mulmenstadt, Institute for Meteorology, Universität Leipzig, Leipzig, Germany, Jennifer E Kay, University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, United States and Kentaroh Suzuki, Atmosphere and Ocean Research Institute University of Tokyo, Tokyo, Japan
Primary Liaison:  Minghuai Wang, Nanjing University, Nanjing, China
Chairs:  Johannes Mulmenstadt, University of Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany, Kentaroh Suzuki, The University of Tokyo, Kashiwa, Japan and Seoung Soo Lee, NOAA/ESRL, Boulder, United States
OSPA Liaison:  Johannes Mulmenstadt, University of Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany
Index Terms:

3310 Clouds and cloud feedbacks [ATMOSPHERIC PROCESSES]
3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]
3337 Global climate models [ATMOSPHERIC PROCESSES]
3354 Precipitation [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Invigoration of Deep Convection in Polluted Environments: Myth or Reality? (Invited) (343452)
Wojciech Grabowski1, Istvan Geresdi2, Noemi Sarkadi2 and Lulin Xue3, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)University of Pecs, Pecs, Hungary, (3)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States
Using Intensive Field Data for Evaluating Simulations of Mixed-Phase Clouds from WRF Cloud Microphysical Schemes (409383)
Aaron Naeger, University of Alabama in Huntsville, Huntsville, AL, United States, Brian Colle, Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, NY, United States and Na Zhou, Stony Brook University, Stony Brook, NY, United States
How much can we learn about rain microphysics from polarimetric radar observations? An investigation of information content and parameter estimation using the Bayesian Observationally-constrained Statistical-physical Scheme (BOSS) (441344)
Karly Jackson Reimel1, Marcus van Lier Walqui2, Matthew R Kumjian1, Olivier Prat3 and Hugh Morrison4, (1)Pennsylvania State University Main Campus, University Park, PA, United States, (2)Columbia University, Center for Climate Systems Research, New York, United States, (3)Cooperative Institute for Climate and Satellites - NC, NOAA/NESDIS/NCEI, Asheville, NC, United States, (4)NSF NCAR, MMM Laboratory, Boulder, United States
Process-based investigation of convection schemes using cycled data assimilation (393696)
May Wong, NSF National Center for Atmospheric Research, Mesoscale and Microscale Meteorology Laboratory, Boulder, United States, Glen S Romine, NCAR/MMM, Boulder, CO, United States and Chris Snyder, National Center for Atmospheric Research, Boulder, CO, United States
The dialogue between fast-process diagnostics and stochastic process models for precipitation (Invited) (383966)
J David Neelin1, Yi-Hung Kuo1, Fiaz Ahmed2, Cristian Martinez-Villalobos3, Xianan Jiang4, Eric D Maloney5, Andrew Gettelman6 and Yi Ming7, (1)University of California Los Angeles, Los Angeles, CA, United States, (2)University of California, Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, United States, (3)University of California Los Angeles, Los Angeles, United States, (4)JIFRESSE/UCLA, Pasadena, CA, United States, (5)Colorado State University, Atmospheric Science, Fort Collins, United States, (6)Pacific Northwest National Laboratory, Richland, WA, United States, (7)Boston College, Chestnut Hill, MA, United States
Moist static energy and its variance budget diagnostics for ENSO-related Precipitation anomalies along the Equatorial Pacific in Climate Models (450011)
H Annamalai, University of Hawaii at Manoa, IPRC, Honolulu, HI, United States
Extratropical Cyclone Precipitation Life Cycles and Cloud Vertical Structure in Observations and Climate Models (379760)
James F Booth, CUNY City College of New York, Earth and Atmospheric Science, New York, United States, Catherine M Naud, Columbia University in the City of New York, Palisades, NY, United States and Jeyavinoth Jeyaratnam, CUNY City College of New York, New York, NY, United States
Future precipitation events become more summer-like in morphology (462939)
Chen Chen, University of Chicago, Chicago, IL, United States, Won Chang, University of Cincinnati, Department of Mathematical Sciences, Cincinnati, United States, Wenwen Kong, University of California Berkeley, Department of Geography, Berkeley, CA, United States, Jiali Wang, Argonne National Laboratory, Argonne, United States, Veerabhadra Rao Kotamarthi, Argonne National Laboratory, Lemont, IL, United States, Michael Stein, University of Chicago, Department of Statistics, Chicago, IL, United States and Elisabeth J Moyer, University of Chicago, Department of the Geophysical Sciences, Chicago, United States

See more of: Atmospheric Sciences