An Evaluation of the NUMA Framework (GNuME) for Global Ocean Modeling

Abstract

The Nonhydrostatic Unified Model of the Atmosphere (NUMA, Kelly and Giraldo, 2012; Giraldo et al., 2013) is the dynamical core of the Navys next generation global atmospheric model NEPTUNE (Navy s Environmental Prediction sysTem Using the NUMA corE). NUMA uses continuous (CG) and discontinuous Galerkin (DG) methods for approximating the spatial derivatives in the compressible Navier-Stokes equations. One of the main features of the model is that it has been designed to fully exploit current massively parallel architectures including CPUonly and CPU-GPU hybrid. Based on the numerical methods developed for NUMA, an ocean model NUMO (Kopera et al. (2017)) was built with the intent to target high-resolution nonhydrostatic simulations of Greenland fjords. Both models, together with a shallow water equation solver, form the GNuME (Galerkin Numerical Modeling Environment) framework. We propose an initial evaluation of using the GNuME framework for a new ocean model targeting global ocean prediction. We will explore design options for the new model, but many of the initial test cases will be sufficiently idealized to not require many of the features of a fully functioning ocean model. The project is proposed for two years but will include a report after one year that evaluates the advantages and disadvantages of a potential GNuME-based model against existing structured grid global ocean models such as HYCOM.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 29, 2020
Source ID
N000142012038

Entities

People

  • Alan Wallcraft

Organizations

  • Florida State University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Parallel and Distributed Computing.