A53K:
Toward Reducing Systematic Errors in Weather and Climate Models: Evaluation, Understanding, and Improvement III

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Session ID#: 16416

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:  Brian Medeiros, National Center for Atmospheric Research, Boulder, CO, 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:

Why Do Climate Models Drizzle Too Much and What Impact Does This Have (162370)
Christopher R Terai1, Peter V Caldwell2 and Stephen A Klein1, (1)Lawrence Livermore National Laboratory, Livermore, CA, United States, (2)USDA Forest Service, Southern Research Station, Center for Integrated Forest Science, Otto, United States
How Clouds Affect The Vertical Structure Of Radiative Heating Rates: A Multi-model Evaluation Using A-train Observations (180811)
Grégory Cesana1, Duane Edward Waliser1, Tristan S L'Ecuyer2, Xianan Jiang3 and Juilin Li4, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)University of Wisconsin Madison, Department of Atmospheric and Oceanic Sciences, Madison, WI, United States, (3)University of California Los Angeles, Los Angeles, CA, United States, (4)Jet Propulsion Laboratory, Pasadena, CA, United States
Bias Reduction as Guidance for Developing Convection and Cloud Parameterization in GFDL AM4/CM4 (Invited) (121710)
Ming Zhao, NOAA/OAR/Geophysical Fluid Dynamics Laboratory, Princeton, United States; University Corporation for Atmospheric Research, Boulder, CO, United States, Isaac Held, NOAA Princeton, Princeton, NJ, United States and Chris Golaz, NOAA Geophysical Fluid Dynamis Laboratory (GFDL), Princeton, NJ, United States
Disentangling atmospheric biases in the tropical Atlantic in the CNRM climate model (171523)
Romain Roehrig1, Aurore Voldoire2 and Claudia Frauen2,3, (1)CNRM (Météo-France and CNRS), Toulouse, France, (2)CNRM (CNRS and Météo-France), Toulouse, France, (3)Leibniz Institute for Baltic Sea Research, Rostock, Germany
Towards understanding and predicting the spurious ‘double ITCZ’ problem in CMIP5 models (161832)
Baoqiang Xiang1, Ming Zhao1, Isaac Held2 and Jean-Christophe Golaz3, (1)University Corporation for Atmospheric Research, Boulder, CO, United States, (2)NOAA Princeton, Princeton, NJ, United States, (3)Lawrence Livermore National Laboratory, Livermore, CA, United States
Effects of southeastern Pacific sea surface temperature on the double-ITCZ bias in NCAR CESM1 (144155)
Fengfei Song, Scripps Institution of Oceanography, La Jolla, CA, United States and Guang Jun Zhang, University of California San Diego, La Jolla, CA, United States
Sensitivity of Pacific Cold Tongue and Double-ITCZ Bias to Convective Parameterization (125514)
Matthew Woelfle, University of Washington Seattle Campus, Seattle, WA, United States, Christopher Stephen Bretherton, Allen Institute for AI, Seattle, United States, Mike S Pritchard, NVIDIA Corporation, NVIDIA Research, Santa Clara, United States and Sungduk Yu, University of California Irvine, Earth System Science, Irvine, CA, United States
Exploring convection triggers for wet-season precipitation over the southwestern Amazon in the Community Atmosphere Model versions 5 (164633)
Koichi Sakaguchi1, L. Ruby Leung2, Casey D. Burleyson2 and Heng Xiao2, (1)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States

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