A063
High resolution Earth system modeling on large supercomputers

Session ID#: 160126

Session Description:
High resolution Earth system modeling offers significant opportunities for improving the quality of simulations, particularly for water cycle processes and extreme events. Increase in model resolution and complexity presents significant challenges on many fronts. These include evaluation, diagnosis, and analysis of model simulations, as well as uncertainty quantification, computational performance, and model initialization and data assimilation. This session aims to bring together scientists who develop, run, evaluate, and analyze coupled global and regional Earth system models and their components at high resolution on high performance computers. This session welcomes contributions on development of parameterizations to improve model components and the coupled system at ultra-high (order km) resolutions. The session also encourages presentations on high-resolution simulations from model intercomparison projects such as HighResMIP, DYAMOND, and OMIP, development of metrics for evaluation of such high-resolution simulations, and modeling experiments and analysis to address the balance of simulation length, resolution, and ensemble size.
Index Terms:

1622 Earth system modeling [GLOBAL CHANGE]
1627 Coupled models of the climate system [GLOBAL CHANGE]
3305 Climate change and variability [ATMOSPHERIC PROCESSES]
3337 Global climate models [ATMOSPHERIC PROCESSES]


Primary Convener:  L. Ruby Leung, Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States
Conveners:  Pier Luigi Vidale, University of Reading, Department of Meteorology, and National Centre for Atmospheric Science (NCAS), Reading, United Kingdom, Malcolm J Roberts, Met Office Hadley center for Climate Change, Exeter, United Kingdom, Rein Haarsma, Royal Netherlands Meteorological Institute, De Bilt, Netherlands and Gokhan Danabasoglu, National Center for Atmospheric Research, Boulder, CO, United States
 
The 2012 North American Derecho: A testbed for evaluating regional and global climate modeling systems at cloud-resolving scales (1048319)
Weiran Liu1, Paul Aaron Ullrich2, Jianfeng Li3, Colin M. Zarzycki4, Peter Martin Caldwell5, Leung Ruby6 and Yun Qian3, (1)University of California Davis, Land, Air, and Water Resources, Davis, CA, United States, (2)University of California Davis, Land, Air and Water Resources, Davis, CA, United States, (3)Pacific Northwest National Laboratory, Richland, United States, (4)Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States, (5)Lawrence Livermore National Laboratory, Livermore, CA, United States, (6)Pacific Northwest National Laboratory, Richland, WA, United States
 
Data Transfer between the Models before and after a Partial Drawdown in Salt Cavern (1063845)
Byoung-Yoon Park, Sandia National Laboratories, Albuquerque, NM, United States
 
Convective Momentum Transport and its Impact on the Madden-Julian Oscillation in E3SM-MMF (1063895)
Qiu Yang, Pacific Northwest National Laboratory, Richland, WA, United States, Walter M Hannah, Lawrence Livermore National Laboratory, Livermore, CA, United States and L. Ruby Leung, Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States
 
Application of an Adaptive Time-step Algorithm to the Explicit time integration of KIM (1082510)
Hyun NAM, KIAPS Korea Insititute of Atmospheric Prediction Systems, Seoul, Korea, Republic of (South) and Suk-Jin Choi, KIAPS Korea Insititute of Atmospheric Prediction Systems, Seoul, South Korea
 
Evaluating the water cycle over CONUS at the watershed scale for the Energy Exascale Earth System Model version 1 (E3SMv1) across resolutions (1093683)
Bryce E Harrop1, Karthik Balaguru2, Jean-Christophe Golaz3, L. Ruby Leung1, Salil Mahajan4, Alan Rhoades5, Paul Aaron Ullrich6, Chengzhu Zhang3, Xue Zheng3, Tian Zhou7, Peter Martin Caldwell3, Noel D Keen5 and Azamat Mametjanov8, (1)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, (2)PNNL, Marine Sciences Laboratory, Seattle, WA, United States, (3)Lawrence Livermore National Laboratory, Livermore, CA, United States, (4)Oak Ridge National Laboratory, Computational Sciences and Engineering Division and Climate Change Science Institute, Oak Ridge, United States, (5)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (6)University of California Davis, Land, Air & Water Resources, Davis, CA, United States, (7)Pacific Northwest National Laboratory, Richland, WA, United States, (8)Argonne National Laboratory, Argonne, IL, United States
 
Global and Technical Aspects of the HyperFACETS Dynamical Downscaling Simulations over North America by the CAM-MPAS Variable-Resolution Model (1095488)
Koichi Sakaguchi1, Leung Ruby2, Colin M. Zarzycki3, Jihyeon Jang4, Seth A McGinnis5, Bryce E Harrop6, William C Skamarock7, Andrew Gettelman5, Chun Zhao8, William J Gutowski Jr9, Stephen Leak10 and Linda Mearns11, (1)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States, (3)Penn State University, Meteorology and Atmospheric Science, State College, United States, (4)National Center for Atmospheric Research, Mesoscale and Microscale Meteorology Laboratory, Boulder, CO, United States, (5)National Center for Atmospheric Research, Boulder, CO, United States, (6)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, (7)Natl Ctr Atmospheric Research, Boulder, CO, United States, (8)USTC University of Science and Technology of China, School of Earth and Space Sciences, Hefei, China, (9)Iowa State Univ, Ames, United States, (10)The National Energy Research Scientific Computing Center, Berkeley, United States, (11)NCAR, RAL, Boulder, CO, United States
 
The role of the horizontal resolution in representing extreme events, defined using time series at the 6-hourly or daily frequency. (1108577)
Enrico Scoccimarro1, Daniele Peano2, Silvio Gualdi3, Alessio Bellucci4, Tomas Lovato5, Pier Giuseppe Fogli3 and Antonio Navarra6, (1)Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Lecce, Italy, (2)Euro-Mediterranean Center on Climate Change, Lecce, Italy, (3)Fondazione CMCC, Bologna, Italy, (4)CNR-Italy, Bologna, Italy, (5)Euro-Mediterranean Centre on Climate Change Foundation, Bologna, Italy, (6)Euro-Mediterranean Center on Climate Change, Bologna, Italy
 
Resolving away stratocumulus biases in modern global climate models (1117429)
Takanobu Yamaguchi, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, Hsiang-He Lee, Lawrence Livermore National Laboratory, Livermore, United States and Bogenschutz Peter, Lawrence Livermore National Laboratory, Livermore, CA, United States
 
Global storm and ocean-eddy resolving earth system models (Invited) (1120178)
Daniel Klocke, Max Planck Institute for Meteorology, Hamburg, Germany
 
Update on Project Raijin: Community Geoscience Analysis Tools for Unstructured Grids (1120396)
John Clyne1, Deepak Cherian2, Orhan Eroglu3, Cecile Hannay4, Rajeev Jain5, Alea Kootz3, Brian Medeiros6, Michaela Sizemore3, Paul Aaron Ullrich7, Anissa Zacharias8 and Colin M. Zarzycki9, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)National Center for Atmospheric Research, Climate and Global Dynamics, Boulder, United States, (3)University Corporation for Atmospheric Research, Boulder, CO, United States, (4)NCAR, Boulder, CO, United States, (5)Argonne National Laboratory, Argonne, IL, United States, (6)National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, Boulder, CO, United States, (7)University of California Davis, Land, Air & Water Resources, Davis, CA, United States, (8)University Corporation for Atmospheric Research, Boulder, United States, (9)Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States
 
Kilometer-scale extreme weather storylines in variable-resolution global climate models (Invited) (1124677)
Colin M. Zarzycki1, Alan Rhoades2, Corrine DeCiampa1 and Kevin A Reed3, (1)Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (3)Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, NY, United States
 
Simulations With EarthWorks (1131829)
David A Randall1, James W Hurrell2, Andrew Gettelman3, William C Skamarock4, Richard Loft5, Thomas Hauser6, Donald A. Dazlich1 and Lantao Sun2, (1)Colorado State University, Fort Collins, CO, United States, (2)Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States, (3)National Center for Atmospheric Research, Boulder, CO, United States, (4)Natl Ctr Atmospheric Research, Boulder, CO, United States, (5)Areanddee LLC, Golden, United States, (6)National Center for Atmospheric Research, Boulder, United States
 
Global sub-5km mesh Model Intercomparison (DYAMOND2) and Highlighted Experiments on Supercomputer Fugaku (1137036)
Tomoki Miyakawa1, Daniel Klocke2, Yohei Yamada3, Florian Ziemen4, Tamaki Suematsu5, Daisuke Takasuka6, Masuo Nakano7, Ryusuke Masunaga8, Chihiro Kodama9, Hisashi Yashiro10, Takao Kawasaki11, Takemasa Miyoshi5, Takanori Kodama12 and Julia Duras4, (1)Atmosphere and Ocean Research Institute University of Tokyo, Tokyo, Japan, (2)Max Planck Institute for Meteorology, Hamburg, Germany, (3)Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan, (4)DKRZ German Climate Computing Centre, Hamburg, Germany, (5)RIKEN Center for Computational Science, Kobe, Japan, (6)Ochanomizu University, Department of Information Sciences, Tokyo, Japan, (7)JAMSTEC, Yokohama-City, Japan, (8)JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan, (9)JAMSTEC, Yokohama, Japan, (10)NIES National Institute of Environmental Studies, Ibaraki, Japan, (11)Atmosphere and Ocean Research Institute, the University of Tokyo, Kashiwa, Chiba, Japan, (12)The University of Tokyo, Tokyo, Japan
 
Towards performance portability and productive performance engineering for global cloud-resolving Earth system models on large supercomputers (1177693)
Tobias Wicky1, Johann Dahm1, Florian Deconinck1, Oliver Elbert1, Jeremy McGibbon1, Elynn Wu1, Tal Ben-Nun2, Linus Groner3, Torsten Hoefler4 and Oliver Fuhrer1,5, (1)Allen Institute for Artificial Intelligence, Seattle, United States, (2)ETH Zurich, Zurich, Switzerland, (3)CSCS Swiss National Supercomputing Centre, Lugano, Switzerland, (4)ETH Zurich, Scalable Parallel Computing Lab, Zurich, Switzerland, (5)MeteoSwiss Federal Office of Meteorology and Climatology, Zurich, Switzerland
 
Low-cloud Feedbacks in an Ultra-parameterized GCM with Improved Computational Efficiency and Fidelity (1182520)
Liran Peng, University of California Irvine, Earth System Science, Irvine, CA, United States, Mike S Pritchard, University California Irvine, Earth System Science, Irvine, United States, Peter N Blossey, University of Washington, Seattle, United States, Walter M Hannah, Lawrence Livermore National Laboratory, Livermore, CA, United States and Christopher Bretherton, Climate Modeling, Vulcan Inc., Seattle, United States
 
Superior daily and sub-daily precipitation statistics for intense and long-lived storms in global storm-resolving models (1189926)
Hsi-Yen Ma1, Stephen A Klein1, Jiwoo Lee2, Min-Seop Ahn1, Cheng Tao1 and Peter J Gleckler1, (1)Lawrence Livermore National Laboratory, Livermore, CA, United States, (2)Velizy, France
 
Evaluating Overshooting Convection in the DYAMOND Global Storm-Resolving Models Using Outgoing Longwave Radiation (1193359)
Jacqueline M Nugent1, Samantha Turbeville1, Christopher Stephen Bretherton2, Peter N Blossey3 and Thomas P Ackerman4, (1)University of Washington, Seattle, WA, United States, (2)University of Washington Seattle Campus, Seattle, United States, (3)University of Washington, Seattle, United States, (4)Univ of WA--JISAO, Seattle, WA, United States
 
Collaboration between a High-resolution Modeling and an Existing Climate Modeling Groups for a Global 1-km Scale Earth System Model (1199512)
Hiroaki Miura, University of Tokyo, Bunkyo-ku, Japan, Yuki Takano, Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan, Chihiro Kodama, JAMSTEC, Yokohama, Japan, Tamaki Suematsu, RIKEN Center for Computational Science, Kobe, Japan and Daisuke Takasuka, Ochanomizu University, Department of Information Sciences, Tokyo, Japan
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