Accession Number:

ADA624786

Title:

A Review of Element-Based Galerkin Methods for Numerical Weather Prediction

Descriptive Note:

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA DEPT OF APPLIED MATHEMATICS

Report Date:

2015-04-01

Pagination or Media Count:

81.0

Abstract:

Numerical Weather Prediction NWP is in a period of transition. As resolutions increase, global models are moving towards fully nonhydrostatic dynamical cores, with the local and global models using the same governing equations therefore we have reached a point where it will be necessary to use a single model for both applications. The new dynamical cores at the heart of these unified models are designed to scale efficiently on clusters with hundreds of thousands or even millions of CPU cores and GPUs. Operational and research NWP codes currently use a wide range of numerical methods finite differences, spectral transform, finite volumes and, increasingly, finitespectral elements and discontinuous Galerkin, which constitute element-based Galerkin EBG methods. Due to their important role in this transition, will EBGs be the dominant power behind NWP in the next 10 years, or will they just be one of many methods to choose from One decade after the review of numerical methods for atmospheric modeling by Steppeler et al. 2003 Review of numerical methods for nonhydrostatic weather prediction models Meteorol. Atmos. Phys. 82, 2003, this review discusses EBG methods as a viable numerical approach for the next-generation NWP models. One well-known weakness of EBG methods is the generation of unphysical oscillations in advection-dominated flows special attention is hence devoted to dissipation-based stabilization methods. Since EBGs are geometrically flexible and allow both conforming and non-conforming meshes, as well as grid adaptivity, this review is concluded with a short overview of how mesh generation and dynamic mesh refinement are becoming as important for atmospheric modeling as they have been for engineering applications for many years.

Subject Categories:

  • Meteorology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE