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Adaptive Grids in Climate Modeling: Dynamical Core Tests

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Presentation on theme: "Adaptive Grids in Climate Modeling: Dynamical Core Tests"— Presentation transcript:

1 Adaptive Grids in Climate Modeling: Dynamical Core Tests
Christiane Jablonowski, M. Herzog, R. Oehmke, J. E. Penner, Q. Stout, B. van Leer University of Michigan, Ann Arbor, MI in collaboration with NASA/GSFC and NCAR AGU Dec 2003

2 Adaptive Grids in Climate Modeling
First dynamically adaptive 3D dynamical core on the sphere based on NASA/NCAR’s finite volume hydrostatic dynamical core Block data structure with AMR library support First dynamically adaptive 2D shallow water model on the sphere Shallow water model is 1-level version of the dynamical core

3 Overview of results: Highlights
2D shallow water tests: First glimpse: Track the features of interest Advection experiments Advection with a reduced grid Static refinements in regions of interest Dynamic refinements: Flow over a mountain 3D dynamical core tests: Static refinements along the storm track Dynamic refinements with vorticity criterion

4 First glimpse: Adaptations at work

5 Dynamic adaptations and the reduced grid
No noise or distortions accurate transport 2 reductions

6 2D Static adaptations: Region of interest
Smooth flow in regimes with strong gradients

7 2D Static adaptations: Closer look
Smooth wind field No noise or distortions at the fine-coarse grid interface

8 2D Dynamic adaptations

9 Baroclinic waves in the 3D regime
Jablonowski-Williamson baroclinic wave test case for dyn. cores Coarse resolution does not resolve the wave train

10 Static adaptations in 3D
1 Refinement along the storm track improves the simulation

11 Static adaptations in 3D
2 Refinements along the storm track capture the wave accurately

12 Dynamic adaptations in 3D
Polvani-Scott baroclinic wave test case Refinements are guided by relative vorticity threshold

13 Conclusions Static and dynamic refinements on the sphere work
AMR is a current research topic for the atmospheric sciences Future outlook: Static and dynamic adaptations are a viable option for short-term weather predictions track storms as they appear focus on forecast region of interest: replace nested grids Static adaptations are feasible for long-term climate studies refine mountainous terrain, reinitialize orography Future steps: Add ‘physics’ package, build a full GCM


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