A23B:
Cloud Properties, Processes, and Uncertainties: Observations and Analysis II
Submit an Abstract to this Session
Session ID#: 58248
Session Description:
Clouds play a significant role in the weather and climate systems, and their representation in models remains one of the largest uncertainties for weather and climate predictions. Long-term cloud observations with accurate uncertainty estimates are highly demanded, along with better understanding of cloud processes.
Cloud macro- and micro- physical properties are observed using space- and ground-based remote sensors, and in-situ aircraft probes. Studies have shown large systematic differences of cloud properties from various observations. It is crucial to understand the cloud properties and their uncertainties. With the help of observations and model simulations, understanding of cloud processes can be improved.
This session invites papers on cloud properties, uncertainties and cloud processes. The related topics include but not limited to 1) cloud observations and retrievals; 2) cloud property analyses; 3) cloud uncertainty quantification; 4) cloud and precipitation processes and their parameterization in models; 5) weather and climate impacts of clouds.
Primary Convener: Chuanfeng Zhao, Beijing Normal University, College of Global Change and Earth System Science, Beijing, China
Conveners: Jonathan H. Jiang, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Letu Husi, State Key Laboratory of Remote Sensing Science, The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China and Xiquan Dong, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States
Primary Liaison: Letu Husi, State Key Laboratory of Remote Sensing Science, The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Chairs: Chuanfeng Zhao, Beijing Normal University, College of Global Change and Earth System Science, Beijing, China and Jonathan H. Jiang, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
OSPA Liaison: Chuanfeng Zhao, Beijing Normal University, College of Global Change and Earth System Science, Beijing, China
Abstracts Submitted to this Session:
Yan Yin, Nanjing University of Information Science & Technology, Nanjing, China and Hui Xiao, Institute of Tropical and Marine Meteorology,CMA, Guangzhou, China
Matthew Shupe, CIRES/University of Colorado/NOAA PSL, Boulder, United States and Ola P.G. Persson, University of Colorado at Boulder, Boulder, United States
Zhujun Li, Science Systems and Applications, Inc. Hampton, Hampton, VA, United States and Kuan-Man Xu, NASA Langley Research Center, Hampton, VA, United States
Scott E Giangrande1, Michael P Jensen2, Dié WANG2, Mary Jane Bartholomew2, Joseph Clinton Hardin3, David B Mechem4 and Robert Wood5, (1)Brookhaven National Laboratory, Environmental Science and Technologies Department, Upton, United States, (2)Brookhaven National Laboratory, Upton, NY, United States, (3)Pacific Northwest National Laboratory, Richland, United States, (4)University of Kansas, Lawrence, KS, United States, (5)University of Washington, Department of Atmospheric Sciences, Seattle, United States
Chunsong Lu1, Yangang Liu2, Shi Luo3, Xiaoqi Xu4, Bin Zhu3, Seong Soo Yum5, Shengjie Niu3 and Steven K Krueger6, (1)NUIST Nanjing University of Information Science and Technology, Nanjing, China, (2)Brookhaven National Laboratory, Upton, NY, United States, (3)Nanjing University of Information Science and Technology, Nanjing, China, (4)Nanjing Joint Institute for Atmospheric Sciences, Nanjing, China, (5)Yonsei University, Department of Atmospheric Sciences, Seoul, South Korea, (6)University of Utah, Atmospheric Sciences, Salt Lake City, UT, United States
William L Smith Jr1, Patrick Minnis2, Sunny Sun-Mack3, Mr. Christopher R Yost, MS, Atmospheric Sciences4, Gang Hong4, Rabindra Palikonda5 and Ping Yang6, (1)NASA Langley Research Center, Hampton, VA, United States, (2)NASA Langley Research Center, Hampton, United States, (3)Science Systems and Applications, Inc., Hampton, United States, (4)Science Systems and Applications, Inc., Hampton, VA, United States, (5)Science Systems and Applications, Inc. Hampton, Hampton, VA, United States, (6)Texas A&M Univ, College Station, United States
