A24J:
Toward Reducing Systematic Errors in Weather and Climate Models: Evaluation, Understanding, and Improvement II


Submit an Abstract to this Session


Session ID#: 58602

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 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., CMIP5); (2) Process studies that utilize single-column models, cloud-resolving models, and NWP techniques in climate models; (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, intraseasonal, etc.), in atmosphere and coupled models are all of interest.
Primary Convener:  Shaocheng Xie, Lawrence Livermore National Laboratory, Livermore, United States
Conveners:  Xiaohong Liu, Texas A&M University, College Station, United States, Chung Hsiung Sui, National Taiwan University, Department of Atmospheric Sciences, Taipei, Taiwan and Donghai Wang, Sun Yat-Sen University, Zhu Hai, China
Primary Liaison:  Shaocheng Xie, Lawrence Livermore Nat''l Lab, Livermore, United States
Chairs:  Shaocheng Xie, Lawrence Livermore Nat''l Lab, Livermore, United States and Xiaohong Liu, Texas A&M University, College Station, United States
OSPA Liaison:  Donghai Wang, Sun Yat-Sen University, Zhu Hai, China

Cross-Listed:
  • GC - Global Environmental Change
Index Terms:

0321 Cloud/radiation interaction [ATMOSPHERIC COMPOSITION AND STRUCTURE]
1626 Global climate models [GLOBAL CHANGE]
3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]
3314 Convective processes [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution (402809)
Jean-Christophe Golaz1, Peter Martin Caldwell1 and Luke P Van Roekel2, (1)Lawrence Livermore National Laboratory, Livermore, CA, United States, (2)Los Alamos National Laboratory, Los Alamos, United States
Global Climate Simulated by the Seoul National University Atmosphere Model Version 0 with a Unified Convection Scheme (SAM0-UNICON) (428420)
Sungsu Park, Jihoon Shin, Siyun Kim and Eunsil Oh, Seoul National University, Seoul, Korea, Republic of (South)
Precipitation-buoyancy relationships and dependence on free-tropospheric moisture: reverse-engineering and forward estimates of deep-inflow influence functions (Invited) (383970)
J David Neelin1, Fiaz Ahmed2, Kathleen Shiro3, Scott E Giangrande4, Yi-Hung Kuo1, Ramon Padulles5, Joe J Turk6, Manuel de la Torre Juarez7 and Chi O Ao8, (1)University of California Los Angeles, Los Angeles, CA, United States, (2)University of California, Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, United States, (3)Jet Propulsion Laboratory, Los Angeles, United States, (4)Brookhaven National Laboratory, Environmental Science and Technologies Department, Upton, United States, (5)Jet Propulsion Laboratory, Pasadena, United States, (6)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (7)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (8)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Observation-based metrics for evaluating typical precipitation across generations of CMIP (441267)
Angeline G Pendergrass, Cornell University, Earth and Atmospheric Sciences, Ithaca, NY, United States and Peter J Gleckler, Lawrence Livermore National Laboratory, Livermore, CA, United States
Understanding and Reducing Precipitation Biases in the NCAR CESM (Invited) (387411)
Guang Jun Zhang1, Xiaoliang Song1 and Yong Wang2, (1)Scripps Institution of Oceanography, La Jolla, United States, (2)Department of Earth System Sciences, Tsinghua University, Beijing, China
A Hindcast Approach to Understanding the Equatorial Pacific Cold Tongue Bias in CESM1 (458849)
Angela Cheska Siongco1, Hsi-Yen Ma1, Stephen A Klein1, Shaocheng Xie2, Alicia R Karspeck3, Kevin Raeder3 and Jeffrey L Anderson3, (1)Lawrence Livermore National Laboratory, Livermore, CA, United States, (2)Lawrence Livermore National Laboratory, Livermore, United States, (3)National Center for Atmospheric Research, Boulder, CO, United States
Cloud diurnal variation in CMIP5 models (373347)
Wei-Chyung Wang, University at Albany State University of New York, Albany, NY, United States and Guoxing Chen, Fudan University, Institute of Atmospheric Sciences & Department of Atmospheric and Oceanic Sciences, Albany, United States
On the errors in calculating solar radiation in Earth system models (371325)
Michael J Prather and Juno C Hsu, University of California Irvine, Earth System Science Department, Irvine, CA, United States

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