High-resolution (HR) climate simulations that either permit or explicitly resolve eddies in the oceans and tropical cyclones in the atmosphere have gained significant momentum over the last few years. Such HR simulations are necessary to assess and quantify the role of fine-scale ocean features, including fronts, eddies, and filaments, and their interactions with the atmosphere and sea-ice in climate variability and prediction. Specifically, improving our understanding of how multi-scale interactions arising from coupling the better resolved atmosphere and ocean models influence the low-frequency, large-scale behavior of the Earth system has important implications for advancing our predictions of the natural climate variability with important societal benefits. Despite progress, there are many challenges associated with HR climate modeling that include model evaluation, data volume and processing, computational performance, and model initialization. This session invites presentations on all aspects of HR climate modeling, including studies from field programs and coordinated HR modeling projects. Studies on observational data and metrics that can be used for evaluation of HR simulations and on efficient diagnostics tools for analysis of large data are particularly encouraged.
Primary Chair: Justin Small, National Center for Atmospheric Research, Boulder, CO, United States
Co-chairs: Ping Chang, Texas A&M University, Department of Oceanography, College Station, United States, Gokhan Danabasoglu, National Center for Atmospheric Research, Climate and Global Dynamics, Boulder, CO, United States and Shaoqing Zhang, Ocean University of China, Qingdao, China
Primary Liaison: Justin Small, National Center for Atmospheric Research, Boulder, CO, United States
Moderators: Justin Small, National Center for Atmospheric Research, Boulder, CO, United States, Ping Chang, Texas A&M University, Department of Oceanography, College Station, United States, Gokhan Danabasoglu, National Center for Atmospheric Research, Climate and Global Dynamics, Boulder, CO, United States and Shaoqing Zhang, Ocean University of China, Qingdao, China
Student Paper Review Liaison: Ping Chang, Texas A&M University, Department of Oceanography, College Station, United States
A global eddy-resolving reanalysis with the CESM2 ocean component (656163)
Frederic S Castruccio1, Alicia R Karspeck2, Gokhan Danabasoglu3, Jeffrey L Anderson4, Benjamin P Kirtman5, Nancy Collins6, Jonathan Hendricks4 and Timothy J Hoar7, (1)National Center for Atmospheric Research, Climate and Global Dynamics, Boulder, United States, (2)Jupiter, Boulder, CO, United States, (3)National Center for Atmospheric Research, Climate and Global Dynamics, Boulder, CO, United States, (4)National Center for Atmospheric Research, Boulder, CO, United States, (5)University of Miami, Miami, FL, United States, (6)NCAR, Boulder, CO, United States, (7)Natl Ctr Atmospheric Res, Boulder, CO, United States
A global eddying hindcast ocean simulation with OFES2 (639463)
Hideharu Sasaki1, Shinichiro Kida2, Ryo Furue3, Hidenori Aiki4, Nobumasa Komori3, Yukio Masumoto5, Toru Miyama6, Masami Nonaka6, Yoshikazu Sasai7 and Bunmei Taguchi8, (1)JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan, (2)Research Institute of Applied Mechanics, Kyushu University, Fukuoka, Japan, (3)JAMSTEC, Yokohama, Japan, (4)Nagoya University, Nagoya, Japan, (5)University of Tokyo, Bunkyo-ku, Japan, (6)JAMSTEC, Application Laboratory, Yokohama, Japan, (7)Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Research Institute for Global Change (RIGC), Yokohama, Japan, (8)University of Toyama, Faculty of Sustainable Design, Toyama, Japan
Variable-Resolution Simulations with the DOE Energy, Exascale, Earth System Model (E3SM) (645972)
Mark R Petersen1, Xylar Asay-Davis2, Steven Brus1, Darren Engwirda3, Kristin Hoch1, Mathew E Maltrud1, Andrew Roberts1, Kevin L Rosa4, Luke Van Roekel5, Jon Wolfe1 and Phillip J. Wolfram Jr1, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Los Alamos National Laboratory, Fluid Dynamics and Solid Mechanics Group, Los Alamos, NM, United States, (3)Los Alamos National Laboratory, New York City, United States, (4)University of Rhode Island, Narragansett, RI, United States, (5)Los Alamos National Laboratory, Los Alamos, United States
Regional Modeling with MOM6 (649386)
Katherine Hedstrom, University of Alaska Fairbanks, CFOS, Fairbanks, AK, United States, Robert Hallberg, NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, United States, Alistair Adcroft, Princeton University, Program in Atmospheric and Oceanic Sciences, Princeton, NJ, United States, Matt Harrison, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States and Enrique N Curchitser, Rutgers University New Brunswick, Department of Environmental Sciences, New Brunswick, NJ, United States
An efficient implementation of a semi-implicit barotropic mode solver for the MPAS-Ocean (651922)
Hyun-Gyu Kang1, Katherine J Evans2, Philip W Jones3, Mark R Petersen3, Andy Salinger4 and Raymond S Tuminaro5, (1)Oak Ridge National Laboratory, Oak Ridge, United States, (2)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (3)Los Alamos National Laboratory, Los Alamos, NM, United States, (4)Sandia National Laboratory, Albuquerque, NM, United States, (5)Sandia National Laboratories, Livermore, CA, United States
Assessing future climate changes in the northwestern North Pacific around Japan using a high-resolution regional ocean model (649825)
Goro Yamanaka1, Hideyuki Nakano2, Takahiro Toyoda3, Kei Sakamoto4, Shogo Urakawa3, Hiroyuki Tsujino3, Shiro Nishikawa5, Tsuyoshi Wakamatsu6 and Yoichi Ishikawa5, (1)Meteorological Research Institute, Tsukuba, Ibaraki, Japan, (2)Meteorological Research Institute, Tsukuba, Japan, (3)Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan, (4)Meteorological Research Institute, Ibaraki, Japan, (5)JAMSTEC, Yokohama, Japan, (6)JAMSTEC, Norway
Gulf Stream impacts of regional resolution refinement in the E3SM unstructured-mesh ocean model MPAS-Ocean (651550)
Kevin L Rosa1, Mark R Petersen2, Steven R Brus2, Darren Engwirda3, Kristin Hoch2, Mathew E Maltrud2, Luke Van Roekel4 and Phillip J. Wolfram Jr2, (1)University of Rhode Island, Narragansett, RI, United States, (2)Los Alamos National Laboratory, Los Alamos, NM, United States, (3)Los Alamos National Laboratory, New York City, United States, (4)Los Alamos National Laboratory, Los Alamos, United States
