A42C:
Cloud Observations and Uncertainties II
Session ID#: 11010
Session Description:
Clouds play a significant role in Earth’s hydrological cycle and radiation budget. Representation of clouds in climate models remains as one of the largest uncertainties in predictions of future climate. Long-term cloud retrievals with accurate uncertainty estimates are necessary for improving cloud parameterizations within climate models.
Cloud properties can be retrieved using space- or ground-based remote sensors or directly from in situ aircraft probes. Studies have shown large differences of cloud properties among various methods, raising questions about the assumptions behind them and/or their representativeness. The uncertainties could come from the measurements themselves and retrieval algorithms applied downstream to them. To advance our understanding of clouds and their processes, it is crucial to understand and quantify the uncertainties associated with measurements and retrievals.
This session invites papers on cloud property 1) measurements or retrievals, 2) uncertainty analyses, and 3) implementation of realistic uncertainties on the measurements and retrievals.
Primary Convener: Chuanfeng Zhao, Beijing Normal University, College of Global Change and Earth System Science, Beijing, China
Conveners: Xiquan Dong, University of North Dakota, Grand Forks, ND, United States, Derek J Posselt, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Jonathan H. Jiang, California Institute of Technology, Pasadena, CA, United States
Chairs: Chuanfeng Zhao, Peking University, Department of Atmospheric and Oceanic Sciences, Beijing, China and Xiquan Dong, University of North Dakota, Grand Forks, ND, United States
OSPA Liaison: Chuanfeng Zhao, Peking University, Department of Atmospheric and Oceanic Sciences, Beijing, China
Cross-Listed:
Abstracts Submitted to this Session:
Gerald G Mace, University of Utah, Salt Lake City, UT, United States
Andrew Heymsfield, National Center for Atmospheric Research, Boulder, CO, United States, Aaron Bansemer, NCAR, Boulder, CO, United States, Simone Tanelli, Jet Propulsion Laboratory, Pasadena, CA, United States and Michael Poellot, University of North Dakota, Grand Forks, ND, United States
Andrew Heymsfield, National Center for Atmospheric Research, Boulder, CO, United States and Aaron Bansemer, NCAR, Boulder, CO, United States
Jingjing Tian, University of North Dakota, Grand Forks, United States, Xiquan Dong, University of North Dakota, Grand Forks, ND, United States, Baike Xi, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Jingyu Wang, Pacific Northwest National Laboratory, Richland, WA, United States and Cameron R Homeyer, University of Oklahoma, School of Meteorology, Norman, OK, United States
Jeana Mascio, University of Utah, Salt Lake City, United States and Gerald G Mace, University of Utah, Salt Lake City, UT, United States
Simone Lolli, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Belay Demoz, University of Maryland Baltimore County, Joint Center for Earth Systems Technology (JCET), Baltimore, MD, United States, Paolo Di Girolamo, Università della basilicata, POTENZA, Italy and Ellsworth Judd Welton, Mesoscale Atmospheric Processes Laboratory, NASA/GSFC, Greenbelt, MD, United States
Hironobu Iwabuchi1, Yuka Tokoro2, Masanori Saito3, Nurfiena Sagita Putri2, Shuichiro Katagiri2 and Miho Sekiguchi4, (1)Tohoku University, Graduate School of Science, Sendai, Japan, (2)Tohoku University, Sendai, Japan, (3)Texas A&M University, College Station, United States, (4)Tokyo University of Marine Science and Technology, Tokyo, Japan
Thomas Kuhn, Luleå University of Technology, Luleå, Sweden and Andrew Heymsfield, National Center for Atmospheric Research, Boulder, CO, United States
