A11E:
Process-Oriented Analysis of Cloud and Precipitation Physics I


Submit an Abstract to this Session


Session ID#: 58500

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:  Minghuai Wang, Nanjing University, School of Atmospheric Sciences, Nanjing, China, Jennifer E Kay, University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, United States and Yuan Wang, California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, United States
OSPA Liaison:  Minghuai Wang, Nanjing University, School of Atmospheric Sciences, Nanjing, China
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:

Jonathan H. Jiang, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Brian H Kahn, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Eric J Fetzer, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Mark Smalley1, Matthew D Lebsock2, Kay Suselj1 and Joao Teixeira1, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, Pasadena, United States
Patrick Y Chuang, University of California Santa Cruz, Santa Cruz, CA, United States and Arthur Hu, University of California Santa Cruz, Earth and Planetary Sciences, Santa Cruz, CA, United States
Youtong Zheng, University of Maryland College Park, College Park, United States, Daniel Rosenfeld, Hebrew University, Jerusalem, Israel and Zhanqing Li, Univ of Maryland College Park, AOSC, College Park, United States
Graeme L Stephens, Jet Propulsion Laboratory, Pasadena, United States
Xianwen Jing, Atmosphere and Ocean Research Institute University of Tokyo, Tokyo, Japan, Kentaroh Suzuki, The University of Tokyo, Kashiwa, Japan and Takuro Michibata, RIAM Research Institute for Applied Mechanics, Kasuga, Japan
Po-Lun Ma, Pacific Northwest National Laboratory, Richland, WA, United States