A008
Advances in numerical modeling and algorithm development of dynamical cores for global and regional weather and climate models.
Session ID#: 247920
Session Description:
Developing Earth System models, including both short-term weather and long-term climate models, to operate at higher resolutions and capture finer spatial and temporal scales requires improvements in numerical methods for key model components, such as dynamical cores and process couplings, as well as the implementation of new HPC techniques. Advances in computing power have made it possible to enhance model complexity, but many models still face limitations due to low-order discretization and strategies designed for CPU-only architectures. A crucial challenge is striking a balance between achieving physically accurate simulations and ensuring computational efficiency. This session invites contributions on the development and analysis of advanced numerical strategies, computational techniques, and algorithmic improvements, and on optimizing the integration between dynamical cores and other model components to maximize computational efficiency and predictive accuracy. The goal is to address challenges in Earth System models and drive progress in weather and climate simulations across scales.
Co-Sponsor(s):
Index Terms:
3303 Balanced dynamical models [ATMOSPHERIC PROCESSES]
3336 Numerical approximations and analyses [ATMOSPHERIC PROCESSES]
4445 Nonlinear differential equations [NONLINEAR GEOPHYSICS]
4499 General or miscellaneous [NONLINEAR GEOPHYSICS]
Primary Convener: Joseph Mouallem, Princeton University, Princeton, NJ, United States
Conveners: Cheng Li, University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States and Christopher J Vogl, Lawrence Livermore National Laboratory, Center for Applied Scientific Computing, Livermore, CA, United States
Advances in dynamic cores of the next generation LICOM ocean model (1851221)
Leshan Meng1,2, Bo An1, Zhiyuan Li1,2, XI Chen1 and Yongqiang Yu1,2, (1)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (2)University of Chinese Academy of Sciences, Beijing, China
Picking Up the Pace: Using Domain Specific Languages for Scientific Modeling (1919405)
Oliver Elbert1, Frank Malatino1, Janice Kim1, Katrina Fandrich2, Charles Kropiewnicki2, Florian Deconinck2, Lucas Harris3 and Rusty Benson4, (1)Geophysical Fluid Dynamics Laboratory, Princeton, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, United States, (4)Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
Overview for algorithms for Unstructured Grids on the Sphere: Regridding, Averaging and Integration (1921061)
Hongyu Chen, University of California Davis, Davis, CA, United States, Paul Aaron Ullrich, Lawrence Livermore National Laboratory, PCMDI, Livermore, United States, Julian Panetta, University of California Davis, Computer Science, Davis, United States, David Marsico, NOAA Physical Sciences Laboratory, Boulder, United States, Moritz Hanke, Deutsches Klimarechenzentrum, Application Support, Hamburg, Germany, Rajeev Jain, Argonne National Laboratory, Lemont, United States, Chengzhu Zhang, Lawrence Livermore National Laboratory, Livermore, CA, United States and Robert L Jacob, Argonne National Laboratory, Chicago, United States
Development of a high resolution coupled SHiELD model for extreme weather prediction (1928342)
Joseph Mouallem1, Kun Gao2, Brandon G Reichl3, Lauren Chilutti4, Lucas Harris3, Rusty Benson5, Niki Zadeh3, Jing Chen, PhD2, Jan-Huey Chen3 and Cheng Zhang2, (1)Princeton University, Princeton, NJ, United States, (2)Princeton University, Princeton, United States, (3)NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, United States, (4)Geophysical Fluid Dynamics Laboratory, Princeton, United States, (5)Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
Scalable and Optimized Terrain Parameter Computation with the GEOtiled-SG Framework (1956331)
Jack Marquez1, Kin NG1, Gabriel Laboy1, Paula Olaya1, Prof. Rodrigo Vargas2,3 and Michela Taufer1, (1)University of Tennessee, Department of Electrical Engineering & Computer Science, Knoxville, United States, (2)University of Delaware, Plant and Soil Sciences, Newark, DE, United States, (3)Arizona State University, Tempe, United States
Examining the Contribution of Deep-Atmosphere Dynamical Cores to Mitigating Double ITCZ Bias in Aquaplanets (1998963)
Owen Hughes, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Hing Ong, Unaffiliated, Davis, United States, Adam R Herrington, NSF National Center for Atmospheric Research, CGD, Boulder, United States, Peter Hjort Lauritzen, National Center for Atmospheric Research, Climate and Global Dynamics, CGD, Boulder, United States, Oksana Guba, Sandia National Labs, Lethbridge, AB, Canada, Mark A Taylor, Sandia National Laboratories, Albuquerque, NM, United States and Christiane Jablonowski, University of Michigan, Department of Climate and Space Sciences and Engineering, Ann Arbor, United States
