1 / 10

Continuous Dynamic Grid Adaptation for Regional Simulation in a Global Atmospheric Model

Continuous Dynamic Grid Adaptation for Regional Simulation in a Global Atmospheric Model. J. M. Prusa 1 and W. J. Gutowski 2 1 Teraflux Corp., Florida, USA 2 Iowa State Univ., Iowa, USA Acknowledgement: U.S. DOE Climate Change Prediction Program. Motivation figures.

isra
Download Presentation

Continuous Dynamic Grid Adaptation for Regional Simulation in a Global Atmospheric Model

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Continuous Dynamic Grid Adaptation for Regional Simulation in a Global Atmospheric Model J. M. Prusa1 and W. J. Gutowski2 1Teraflux Corp., Florida, USA 2 Iowa State Univ., Iowa, USA Acknowledgement: U.S. DOE Climate Change Prediction Program

  2. Motivation figures Show Joe’s hurricane and globe slides

  3. Key Procedure: Grid Transformation (vertical columns preserved)

  4. Initial Development:Moisture (Tracer) Transport • Standard MM5 simulation • Drives off-line tracer transport using adaptive grid Iselin, J.P., 1999: Ph.D. Iselin, Prusa, Gutowski, 2002: Mon. Wea. Rev. Iselin, Gutowski, Prusa, 2002 (in prep.)

  5. Using MPDATA advection • Pts(Leap-Frog) ~ 4 X Pts(Dynamic)

  6. MM5 Leap-Frog (120 h; 52-km grid) MM5 Leap-Frog . [g/kg]

  7. Dyn. Grid + MPDATA (120 h; 52-km grid) . [g/kg]

  8. Current Development:Global ModelSmolarkiewicz et al, 2001: J. Atmos. Sci. • Anelastic, nonhydrostatic • Generalized coordinates • Non-oscillatory forward-in-time • MPDATA Eulerian advection

  9. Current Development:Global ModelSmolarkiewicz et al, 2001: J. Atmos. Sci. Focus: Held-Suarez - #meridional cells (accuracy) vs. computational cost Qs: “Trf” vs. “Phy” on panel labels? If runs went 1080 days, why figs @ 200 d? gravity wave case?

  10. Dynamic Grid StretchingConclusion & Directions • Markedly greater efficiency • Local constraints that ensure global conservation • Dynamic grid, include static focus region(s) • Geometric constraints (“flatness of space”) to reduce numerical noise

More Related