A51M:
Process-Oriented Evaluation of Climate Model Physics Using Observations and High-Resolution Models II Posters


Session ID#: 8300

Session Description:
Current uncertainty in climate projection is caused in large part by uncertainty in representation of physical processes in climate models. To mitigate this uncertainty for more reliable climate projections, it is critical to appropriately evaluate and constrain such uncertainties at a fundamental process level. In this session, we solicit presentations that contribute to the evaluation and improvement of global climate models with a particular emphasis on physical processes that have typically been represented by parameterizations. Specific focus of this session includes innovative use of available observations (satellite, aircraft or ground-based) or high resolution modeling to diagnose key aspects of physical processes. Presentations of new validation metrics for evaluating model physics and their applications to constrain key uncertainties in formulation of parameterization are encouraged. Presentations on how the process-based constraint on model physics impacts the overall model performance of climate simulation are also welcomed.
Primary Convener:  Kentaroh Suzuki, Atmosphere and Ocean Research Institute University of Tokyo, Tokyo, Japan
Conveners:  Matthew D Lebsock, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, Minghuai Wang, Nanjing University, Nanjing, China and Joao Teixeira, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Chairs:  Minghuai Wang, Nanjing University, Nanjing, China, Joao Teixeira, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Matthew D Lebsock, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
OSPA Liaison:  Minghuai Wang, Nanjing University, Nanjing, China
Index Terms:

3307 Boundary layer processes [ATMOSPHERIC PROCESSES]
3314 Convective processes [ATMOSPHERIC PROCESSES]
3323 Large eddy simulation [ATMOSPHERIC PROCESSES]
3359 Radiative processes [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Multi-criteria Evaluation of Discharge Simulation in Dynamic Global Vegetation Models (63130)
Hui Yang1, Shilong Piao2, Zhenzhong Zeng3, Philippe Ciais4, Yi Yin5, Pierre Friedlingstein6, Stephen Sitch7, Anders Ahlström8, Matthieu Guimberteau9, Chris Huntingford10, Sam Levis11, Peter E. Levy12, Mengtian Huang2, Yue Li2, Xiran Li1, Mark Lomas13, Philippe P Peylin14, Ben Poulter15, Nicolas Viovy5, Soenke Zaehle16, Ning Zeng17, Fang Zhao17 and Lei Wang18, (1)Peking University, Beijing, China, (2)Peking University, College of Urban and Environmental Sciences, Beijing, China, (3)Peking University, School of Environmental Science and Engineering, Beijing, China, (4)CNRS, Paris Cedex 16, France, (5)LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette, France, (6)University of Exeter, College of Engineering, Mathematics and Physical Sciences, Exeter, EX4, United Kingdom, (7)University of Exeter, College of Life and Environmental Sciences, Exeter, United Kingdom, (8)Stanford University, Stanford, CA, United States, (9)Institut Pierre Simon Laplace, Laboratoire d'Océanographie et du Climat: expérimentations et approches numériques (LOCEAN), Paris, France, (10)Centre for Ecology and Hydrology, Wallingford, United Kingdom, (11)National Center for Atmospheric Research, Boulder, CO, United States, (12)Center for Ecology and Hydrology Penicuik, Penicuik, United Kingdom, (13)Leverhulme Centre for Climate Change Mitigation, Leverhulme Centre for Climate Change Mitigation, Sheffield, United Kingdom, (14)CEA Saclay DSM / LSCE, Gif sur Yvette, France, (15)University of Montana, Missoula, MT, United States, (16)Max Planck Institute for Biogeochemistry, Jena, Germany, (17)University of Maryland College Park, College Park, MD, United States, (18)ITP Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
Physics of Canopy Boundary Layer Resistance for Better Quantification of Sensitivity of Deforestation Scenarios (63561)
Kishore B. Ragi and RajKishore Patel, National Institute of Technology Rourkela, Rourkela, India
Characterizing Uncertainties in Estimates of the Direct and Indirect Aerosol Radiative Forcings (68551)
Kentaroh Suzuki, Atmosphere and Ocean Research Institute University of Tokyo, Tokyo, Japan, Eiji Oikawa, NIES National Institute of Environmental Studies, Ibaraki, Japan and Teruyuki Nakajima, Japan Aerospace Exploration Agency, Kanagawa, Japan
Evaluating Interannual Variability of the TOA Energy Budget in CMIP5 (60937)
Noel C Baker and Patrick C Taylor, NASA Langley Research Center, Hampton, VA, United States
Obs4MIPS: Satellite Observations for Model Evaluation (70080)
Robert Ferraro1, Duane Edward Waliser1, Peter J Gleckler2 and WDAC Observations for Model Evaluation Task Team, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)LLNL/PCMDI, San Francisco, CA, United States
Land-Ocean Difference of the Warm Rain Formation Process in Satellite Observations, Ground-Based Observations, and Model Simulations (59031)
Hanii Takahashi, Jet Propulsion Laboratory, Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, California, Pasadena, CA, United States, Kentaroh Suzuki, Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan and Graeme L Stephens, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Evaluation of Autoconversion Schemes and Microphysical Processes in the MIROC-SPRINTARS with Satellite Observations (71699)
Takuro Michibata, Kyushu University, Fukuoka, Japan and Toshihiko Takemura, Kyushu University, Research Institute for Applied Mechanics, Fukuoka, Japan
Impacts of the autoconversion scheme on the clouds as simulated by a global cloud system-resolving model: regional variability of the impacts (72656)
Yousuke Sato1, Kentaroh Suzuki2, Hisashi Yashiro3, Daisuke Goto4, Takashi M. Nagao5, Hirofumi Tomita6, Nakajima Teruyuki5 and Takuro Michibata7, (1)RIKEN Center for Computational Science, Kobe, Japan, (2)Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan, (3)National Institute for Environmental Studies, Tsukuba, Japan, (4)NIES National Institute of Environmental Studies, Ibaraki, Japan, (5)Japan Aerospace Exploration Agency, Earth Observation Research Center, Tsukuba, Japan, (6)RIKEN, Kobe, Japan, (7)RIAM Research Institute for Applied Mechanics, Kasuga, Japan
Cloud microphysics modification with an online coupled COSMO-MUSCAT regional model (78965)
Dipu Sudhakar1, Johannes Quaas1, Ralf Wolke2, Jens Stoll2, Andreas D Muehlbauer3 and Ina Tegen2, (1)University of Leipzig, Leipzig, Germany, (2)Leibniz Institute for Tropospheric Research, Leipzig, Germany, (3)Research Scientist, Washington, United States
Physical-based validation of unified parameterization based on satellite observation of cloud and precipitation properties (74958)
Kay Suselj, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Matthew D Lebsock, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
A satellite observation test bed for cloud parameterization development (75587)
Matthew D Lebsock, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Kay Suselj, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
On a Spurious Cloud/PBL Oscillation in CAM5 CAPT Simulations with CLUBB and MG2 Scheme (80420)
Xue Zheng1, Stephen A Klein1, Hsi-Yen Ma1, Vincent E Larson2, Andrew Gettelman3 and Peter Bogenschutz3, (1)Lawrence Livermore National Laboratory, Livermore, CA, United States, (2)University of Wisconsin-Milwaukee, Milwaukee, WI, United States, (3)National Center for Atmospheric Research, Boulder, CO, United States
Using Satellite Observations to Infer the Relationship between Cold Pools and Subsequent Convection Development (80088)
Gregory Elsaesser, Columbia University/NASA GISS, New York, United States
The tropospheric moisture and temperature biases in climate models (81152)
Dr. Baijun Tian, Ph.D.1, Eric J Fetzer1 and Thomas Hearty2, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States
Investigating Links Between Convective Precipitation, Detrainment, and the Large Scale Water Budget (86597)
Rachel L Storer, NASA Jet Propulsion Laboratory, Pasadena, United States, Graeme L Stephens, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Susan C van den Heever, Colorado State University, Department of Atmospheric Science, Fort Collins, United States
Examining the Fidelity of Climate model via Shadowing Time (75499)
Leonard A Smith, London School of Economics, London, United Kingdom and Hailiang Du, University of Chicago, Chicago, IL, United States

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