Matthew Norman Computational Climate Scientist and Group Leader Contact NORMANMR@ORNL.GOV All Publications Spatially Local Surrogate Modeling of Subgrid-Scale Effects in Idealized Atmospheric Flows: A Deep Learned Approach Using High-Resolution Simulation Data Perspectives on AI Architectures and Codesign for Earth System Predictability... Experiences readying applications for Exascale The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System Evaluating the Cloud for Capability Class Leadership Workloads... SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications Portable C++ Code that can Look and Feel Like Fortran Code with Yet Another Kernel Launcher (YAKL) Subgrid-scale surrogate modeling of idealized atmospheric flows: A deep learned approach using high-resolution simulation data Reconstructing High Resolution ESM Data Through a Novel Fast Super Resolution Convolutional Neural Network (FSRCNN) TRITON: A Multi-GPU Open Source 2D Hydrodynamic Flood Model Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF’s summit supercomputer Progress Towards Accelerating the Unified Model on Hybrid Multi-Core Systems A high-order WENO-limited finite-volume algorithm for atmospheric flow using the ADER-differential transform time discretization A holistic algorithmic approach to improving accuracy, robustness, and computational efficiency for atmospheric dynamics Pre-exascale accelerated application development: The ORNL Summit experience Pre-exascale accelerated application development: The ORNL summit experience Initial Results From the Super‐Parameterized E3SM A multivariate approach to ensure statistical reproducibility of climate model simulations Using Deep Neural Networks as Cost‐Effective Surrogate Models for Super‐Parameterized E3SM Radiative Transfer... Ongoing solution reproducibility of earth system models as they progress toward exascale computing... A Positive‐Definite, WENO‐Limited, High‐Order Finite Volume Solver for 2‐D Transport on the Cubed Sphere Using an ADER Time Discretization Exascale Programming Approaches for Accelerated Climate Modeling for Energy Performance Analysis of Fully Explicit and Fully Implicit Solvers Within a Spectral Element Shallow-water Atmosphere Model Exascale Programming Approaches for Accelerated Climate Modeling for Energy Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links ORCID Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences Science Engagement Section Advanced Computing for Life Sciences and Engineering Group User Facilities Oak Ridge Leadership Computing Facility Climate Change Science Institute
