R
R. C. Oehmke
Researcher at University of Michigan
Publications - 17
Citations - 954
R. C. Oehmke is an academic researcher from University of Michigan. The author has contributed to research in topics: Grid & Adaptive mesh refinement. The author has an hindex of 8, co-authored 17 publications receiving 847 citations. Previous affiliations of R. C. Oehmke include National Center for Atmospheric Research.
Papers
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Journal ArticleDOI
Space Weather Modeling Framework: A new tool for the space science community
Gabor Toth,Igor V. Sokolov,Tamas I. Gombosi,David Chesney,C. Robert Clauer,D. L. De Zeeuw,Kenneth C. Hansen,K. Kane,Ward B. Manchester,R. C. Oehmke,Kenneth G. Powell,Aaron J. Ridley,Ilia I. Roussev,Quentin F. Stout,O. Volberg,Richard A. Wolf,Stanislav Sazykin,Anthony A. Chan,Bin Yu,József Kóta +19 more
TL;DR: The Space Weather Modeling Framework (SWMF) as discussed by the authors provides a high-performance flexible framework for physics-based space weather simulations, as well as for various space physics applications.
Journal ArticleDOI
Block-Structured Adaptive Grids on the Sphere: Advection Experiments
Christiane Jablonowski,Michael Herzog,Joyce E. Penner,R. C. Oehmke,Quentin F. Stout,Bram van Leer,Kenneth G. Powell +6 more
TL;DR: A spherical 2D adaptive mesh refinement (AMR) technique is applied to the so-called Lin–Rood advection algorithm, which is built upon a conservative and oscillation-free finite-volume discretization in flux form.
Journal ArticleDOI
Block-structured adaptive meshes and reduced grids for atmospheric general circulation models.
TL;DR: It is shown that reduced grid configurations are viable candidates for pure advection applications but should be used moderately in nonlinear simulations and static grid adaptations can be successfully used to resolve three-dimensional baroclinic waves in the storm-track region.
Book ChapterDOI
A physics-based software framework for sun-earth connection modeling
Gabor Toth,Gabor Toth,O. Volberg,Aaron J. Ridley,Tamas I. Gombosi,D. L. De Zeeuw,Kenneth C. Hansen,David Chesney,Quentin F. Stout,Kenneth G. Powell,K. Kane,R. C. Oehmke +11 more
TL;DR: The Space Weather Modeling Framework (SWMF) as mentioned in this paper provides NASA and the modeling community with a high-performance computational tool with plug-and-play capabilities to model the physics from the surface of the Sun to the upper atmosphere of the Earth.
Journal ArticleDOI
New adaptive designs for delayed response models
TL;DR: This work examines three designs with an eye towards minimizing patient losses: a delayed two-armed bandit rule which is optimal for the model and objective of interest; a newly proposed hyperopic rule; and a randomized play-the-winner rule.