A062
High-Resolution Earth System Modeling on Large Supercomputers
Session ID#: 249101
Session Description:
High-resolution Earth system modeling offers significant opportunities for improving the quality of simulations from small scales (e.g., water cycle processes and extreme events) to large scales (e.g., tropical Pacific trends). Increasing model resolution and complexity presents significant challenges on many fronts. These include evaluation, diagnosis, and analysis of model simulations, ensemble generation, as well as uncertainty quantification, computational performance, and model initialization and data assimilation. Besides these topics, submissions are particularly encouraged on ~10 km and ultra-high (order km) scales, with contributions on developments to improve the speed, scalability, and accuracy of dynamical cores, as well as parameterization suitable for the 10-1km range. This session also encourages presentations on model intercomparison projects such as HighResMIP, DYAMOND, and OMIP, ensemble modeling at high resolution, and modeling experiments and analysis to address the balance of simulation length (including spinup), resolution, and ensemble size.
Co-Sponsor(s):
Index Terms:
1622 Earth system modeling [GLOBAL CHANGE]
1655 Water cycles [GLOBAL CHANGE]
3337 Global climate models [ATMOSPHERIC PROCESSES]
3354 Precipitation [ATMOSPHERIC PROCESSES]
Primary Convener: L. Ruby Leung, Pacific Northwest National Laboratory, Richland, WA, United States
Conveners: Gokhan Danabasoglu, National Center for Atmospheric Research, Climate and Global Dynamics, Boulder, United States, Pier Luigi Vidale, University of Reading, Department of Meteorology, and National Centre for Atmospheric Science (NCAS), Reading, RG6, United Kingdom and Malcolm J Roberts, Met Office Hadley center for Climate Change, Exeter, United Kingdom
Towards a New Paradigm in Analyzing Global km-scale Simulations (Invited) (1852679)
Zhe Feng1, Andrew Gettelman1, Florian Andreas Ziemen2, Bryce E Harrop3, Ziming Chen1, Laura Paccini1, Chao Li4, Henning Franke5, Mark Muetzelfeldt6, Torsten Auerswald7, Jinyan Song8 and Fengfei Song8, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)DKRZ German Climate Computing Centre, Hamburg, Germany, (3)Pacific Northwest National Laboratory, Atmospheric, Climate, and Earth Sciences Division, Richland, WA, United States, (4)Max Planck Institute for Meteorology, Climate Variability Department, Hamburg, Germany, (5)Max Planck Institute for Meteorology, Hamburg, Germany, (6)University of Reading, Department of Meteorology, Reading, United Kingdom, (7)University of Reading, Reading, United Kingdom, (8)Ocean University of China, Qingdao, China
Rareness-amplified intensification of extremes (RAINE) (Invited) (1856523)
Iris Elisabeth de Vries, Massachusetts Institute of Technology, Cambridge, MA, United States, Frederic S Castruccio, NSF National Center for Atmospheric Research, Boulder, United States, Dan Fu, Texas A&M University, Department of Atmospheric Sciences, College Station, United States and Paul A O'Gorman, Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planetary Sciences, Cambridge, United States
Excessive equatorial light rain causes modeling dry bias of Indian summer monsoon rainfall (1860384)
Gudongze Li1, Chun Zhao1, Jun Gu1, Jiawang Feng1, Mingyue Xu1, Xiaoyu Hao2, Junshi Chen2, Hong An2, Wenju Cai3 and Geng Tao4, (1)University of Science and Technology of China, School of Earth and Space Sciences, Hefei, China, (2)University of Science and Technology of China, School of Computer Science and Technology, Hefei, China, (3)Laoshan Laboratory, Qingdao, China, (4)Laoshan Laboratory, China, Laoshan, China
A Unified Mesh Framework for Land, River, and Ocean within the E3SM Model (1879992)
Chang Liao1, Xylar Asay-Davis2, Gautam Bisht3, Peter E Thornton4 and L. Ruby Leung1, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Los Alamos National Laboratory, Fluid Dynamics and Solid Mechanics, Los Alamos, United States, (3)Pacific Northwest National Laboratory, Richland, United States, (4)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States
An update on UXarray: A Python package for the analysis of kilometer-scale model outputs (1895211)
John Clyne1, Hongyu Chen2, Philip Chmielowiec3, Orhan Eroglu3, Cecile Hannay4, Robert L Jacob5, Rajeev Jain6, Brian Medeiros7, Paul Aaron Ullrich8 and Colin M. Zarzycki9, (1)National Center for Atmospheric Research, Boulder, United States, (2)University of California Davis, Davis, CA, United States, (3)NSF National Center for Atmospheric Research, Boulder, United States, (4)National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, Boulder, CO, United States, (5)Argonne National Laboratory, Chicago, United States, (6)Argonne National Laboratory, Lemont, United States, (7)National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, Boulder, United States, (8)Lawrence Livermore National Laboratory, PCMDI, Livermore, United States, (9)Penn State University, Meteorology and Atmospheric Science, State College, United States
Modeling Ocean – Sea Ice Interactions Using the E3SM Arctic-Refined Eddy-Resolving Ocean and Sea Ice (AEROSI) Model Forced with JRA55-do Reanalysis (1930306)
Wieslaw Maslowski1, Younjoo Lee1, Robert Osinski2, Mark R Petersen3, Anthony Craig4, Jaclyn L Clement Kinney1, Andrew Roberts5 and Milena Veneziani6, (1)Naval Postgraduate School, Monterey, CA, United States, (2)Institute of Oceanology Polish Academy of Sciences, Sopot, Poland, (3)Los Alamos National Laboratory, Los Alamos, United States, (4)Naval Postgraduate School, Monterey, United States, (5)Lost Alamos National Laboratory, Los Alamos, United States, (6)Los Alamos National Laboratory, Los Alamos, NM, United States
Evaluating Extratropical Windstorms in Global Storm Resolving Models (1953783)
Bryce E Harrop1, Ziming Chen1, Zhe Feng1, Lexie Goldberger2, Yushan Han3, L. Ruby Leung1 and Paul Aaron Ullrich4,5, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, United States, (3)University of California Davis, Department of Land, Air and Water Resources, Davis, CA, United States, (4)Lawrence Livermore National Laboratory, PCMDI, Livermore, United States, (5)University of California Davis, Davis, United States
GFDL's Next-Generation Atmospheric Model (AM5) to advance Earth System simulations (1956656)
Baoqiang Xiang1, Dr. Vaishali Naik, Ph.D.2, David Paynter2, Huan Guo3, Pu Lin4, Sergey Malyshev5, Zhihong Tan6 and Ming Zhao4, (1)University Corporation for Atmospheric Research, Boulder, CO, United States, (2)NOAA/ Geophysical Fluid Dynamics Laboratory, Princeton, United States, (3)Geophysical Fluid Dynamics Lab, Princeton, NJ, United States, (4)NOAA/OAR/Geophysical Fluid Dynamics Laboratory, Princeton, United States, (5)NOAA / Geophysical Fluid Dynamics Laboratory, Princeton, United States, (6)NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
Advancing High-Resolution Atmospheric Modeling with CAM7: MCS and Tropical Cyclone Diagnostics from 0.25° AMIP Simulations. (1958732)
Cecile Hannay, National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, Boulder, CO, United States, Benjamin Stephens, National Center for Atmospheric Research, Boulder, United States, Dan Fu, Texas A&M University, Department of Atmospheric Sciences, College Station, United States, Ping Chang, Texas A&M University, Department of Oceanography, College Station, United States, Colin Zarzycki, Pennsylvania State University Main Campus, Meteorology and Atmospheric Sciences, University Park, United States, Julio T Bacmeister, NSF National Center for Atmospheric Research, Boulder, United States, Richard B Neale, NCAR, Boulder, United States, Vincent E Larson, University of Wisconsin-Milwaukee, Milwaukee, WI, United States and Andreas Prein, ETH Zurich, Department of Environmental Systems Science, Zurich, Switzerland
GPU-accelerated single and multiple regional refined mesh (RRM) simulations using the E3SM/EAMxx model (1968822)
Gökhan Sever1, Brandi Gamelin2, Dimitrios K. Fytanidis1, Peter Perry2, Meera Dasgupta2, Mustafa Altinakar2 and Stella Afolayan2, (1)Argonne National Laboratory, Argonne, IL, United States, (2)Argonne National Laboratory, Argonne, United States
Relevance of Global km-scale Modeling for Large-scale Atmospheric Variability: Perspectives from a 10-year NICAM simulation (1987352)
Daisuke Takasuka, Tohoku University, Sendai, Japan, Chihiro Kodama, JAMSTEC, Yokohama, Japan, Masuo Nakano, JAMSTEC, Yokohama-City, Japan, Dr. Yohei Yamada, Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan, Ryusuke Masunaga, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan, Tamaki Suematsu, RIKEN Center for Computational Science, Kobe, Japan, Hiroaki Miura, Graduate School of Science, The University of Tokyo, Tokyo, Japan and Hiroaki Miura
