A52D:
Toward Reducing Systematic Errors in Weather and Climate Models: Evaluation, Understanding, and Improvement II

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Session ID#: 16428

Session Description:
Despite continuous advances in both weather and climate models, large errors persist in their simulated weather and climate. Describing and understanding the nature and causes of these errors through deep analysis and evaluation using observations is a first and critical step to improving models. This session invites presentations in the following areas: (1) Global and regional evaluation of weather and climate models such as those used in numerical weather prediction (NWP) and climate modeling centers and from major model intercomparison projects (e.g., CMIP3/CMIP5); (2) Process studies that utilize various modeling tools; (3) Diagnostics for model performance rooted in surface or satellite observations; and (4) Observational studies that have a direct bearing on understanding and improving model representations of convection, clouds, radiation, precipitation and their interactions. Understanding model errors in mean state or variability (diurnal, seasonal, etc.), in atmosphere, land, and coupled models are all of interest.
Primary Convener:  Shaocheng Xie, Lawrence Livermore National Laboratory, Livermore, United States
Conveners:  Brian Medeiros, National Center for Atmospheric Research, Boulder, CO, United States and Donghai Wang, Science Systems and Applications, Inc., Lanham, United States
Chairs:  Brian Medeiros, National Center for Atmospheric Research, Boulder, CO, United States, Donghai Wang, Science Systems and Applications, Inc., Lanham, United States and Shaocheng Xie, Lawrence Livermore National Laboratory, Livermore, United States
OSPA Liaison:  Donghai Wang, Science Systems and Applications, Inc., Lanham, United States
Index Terms:

3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]
3337 Global climate models [ATMOSPHERIC PROCESSES]
3354 Precipitation [ATMOSPHERIC PROCESSES]
3359 Radiative processes [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

The CAUSES Model Intercomparison Project: Using hindcast approach to study the U.S. summertime surface warm temperature bias (132225)
Hsi-Yen Ma1, Stephen A Klein1, Shaocheng Xie2, Chengzhu Zhang1, Cyril Julien Morcrette3, Kwinten Van Weverberg4 and Jon Petch3, (1)Lawrence Livermore National Laboratory, Livermore, CA, United States, (2)Lawrence Livermore National Laboratory, Livermore, United States, (3)Met Office, Exeter, United Kingdom, (4)Ghent University, Department of Geography, Ghent, Belgium
Investigating Model Initial Drift in the Tropical Western Pacific in Seasonal Hindcasts (156154)
Jon Shonk, National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading, United Kingdom, Eric Guilyardi, LOCEAN-IPSL, CNRS/IRD/MNHN/Sorbonne Université, Paris, France, Thomas Toniazzo, Bjerknes Centre for Climate Research, Bergen, Norway, Steve J Woolnough, University of Reading, Reading, United Kingdom and Tim Stockdale, ECMWF, Reading, United Kingdom
Systematic errors in South Asian monsoon precipitation: Analysis of CMIP5 and global variable resolution simulations (Invited) (120447)
L. Ruby Leung1, Samson M Hagos2, Chun Zhao1 and Moetasim Ashfaq3, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Atmospheric Sciences & Global Change Division, Richland, United States, (3)Oak Ridge National Laboratory, Computational Sciences and Engineering Division, Oak Ridge, TN, United States
The Impact of Model Resolution and Configuration on Rainfall Characteristics in a Multi-scale Modeling Framework (MMF) (177892)
Jiun-Dar Chern and Wei-Kuo Tao, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Evaluation of NCAR CAM5 Simulated Marine Boundary Layer Cloud Properties Using a Combination of Satellite and Surface Observations (144758)
Zhibo Zhang, University of Maryland Baltimore County, Department of Physics, Baltimore, MD, United States, Hua Song, University of Maryland Baltimore County, Baltimore, MD, United States, Minghuai Wang, Nanjing University, Nanjing, China, Steven John Ghan, Pacific Northwest National Laboratory, Richland, WA, United States and Xiquan Dong, University of North Dakota, Grand Forks, ND, United States
Northern Hemisphere Atmospheric Blocking Representation in Global Climate Models: Twenty Years of improvements? (151403)
Fabio D'Andrea and Paolo Davini, Laboratoire de Météorologie Dynamique ENS, Paris, France
The development of coupled climate models: tuning versus flux correcting (146574)
Dietmar Dommenget, Monash University, Melbourne, VIC, Australia
Beyond Proper Skill Score: The Importance Being Local (181166)
Hailiang Du, University of Chicago, Chicago, IL, United States

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