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An Introduction of the Cloud Resolving Storm Simulator (CReSS)

11 April 2007. An Introduction of the Cloud Resolving Storm Simulator (CReSS). Kazuhisa Tsuboki, Tetsuzo Yasunari Hydrospheric Atmospheric Research Center (HyARC), Nagoya University

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An Introduction of the Cloud Resolving Storm Simulator (CReSS)

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  1. 11 April 2007 An Introduction of the Cloud Resolving Storm Simulator (CReSS) Kazuhisa Tsuboki, Tetsuzo Yasunari Hydrospheric Atmospheric Research Center (HyARC), Nagoya University (The Frontier Research Center for Global Change)

  2. OUTLINE • Introduction • Characteristics of the cloud-resolving model. • Applications of the model • Typhoons • Summary

  3. Introduction • For simulation of convective clouds and storms, we have been developing a cloud resolving model, “CReSS”(the Cloud Resolving Storm Simulator). • Parallel computation and huge memory are necessary for this type of simulation. CReSS is optimized for parallel computers. • In this study, we performed simulation experiments of high-impact weather systems such as typhoons, tornadoes, snowstorms and heavy rainfalls. • Objectives of this study are high resolution simulations and numerical experiments of high-impact weather systems.

  4. Characteristics of the CReSS model • CReSS is formulated on the basis of the non-hydrostatic and compressible equation system. • Coordinate system is a terrain-following in a two or three dimensional domain. • Finite difference method is used for the spatial discretization. • Ground model and surface processes have been implemented. • Conformal Map projections are available. • Parallel processing is performed by the Message Passing Interface (MPI) and OpenMP.

  5. Diagram of cloud micro-physical processes in CReSS

  6. Domain decomposition and communication

  7. Evaluation of performance of CReSS on the Earth SimulatorUsing 128 nodes (1024CPU) and 64 nodes (512CPU), performance of CReSS is evaluated. Vector Operation Ratio: 99.4% Parallel Operation Ratio: 99.985% Maximum node number: 640 nodes Node number to be used: 128 nodes Parallel efficiency: 86.5% Sustained efficiency: 33%

  8. Typhoon simulation with Δx=1km :T0418

  9. Typhoon simulation with Δx=1km :T0418

  10. Snow storm over the Great Lakes in North America grid size: Δx=500m

  11. Snow storm over the Great Lakes in North America grid size: Δx=500m

  12. Heavy rainfall associated with Baiu front: Niigata heavy rain CReSS simulation Radar observation

  13. Heavy rainfall associated with Baiu front: Niigata heavy rain

  14. Typhoon T0423 (caused floods due to heavy rainfall.) T0423, 2004. 10. 20, 01UTC

  15. Experimental Design of Typhoon T0423 • Domain H: 1536 km × 1408 km × V: 18 km • H-gird size 　1000 m • V-grid size 　200 ~ 300 m (stretched) • Grid numbers　　 　H: 1539 × 1411× V: 63 • Integration time　　 30 hours • Time increment　 　large: 3 sec, small: 1 sec • Micro-physics 　the bulk cold rain type • Initial condition JMA Regional Spectral model output • Boundary JMA Regional Spectral model output • Surface 　　 　　 real topography and observed SST • ES node number　　128 nodes (1024 CPU)

  16. Surface observation points for verification Nobeoka

  17. Rainfall intensity (mm/hr) Bars:Observation Solid line: CReSS Dashed line: RSM Time (UTC)

  18. Experimental Design of Typhoon T0613 • Domain H: 896 km × 896 km × V: 20 km • H-gird size 　500 m • V-grid size 　100 ~ 320 m (stretched) • Grid numbers　　 　H: 1795 × 1795× V: 67 • Integration time　　 6 hours • Time increment　 　large: 2 sec, small: 0.5 sec • Micro-physics 　the bulk cold rain type • Initial condition JMA Regional Spectral model (40km) • Boundary JMA Regional Spectral model (40km) • Surface 　　 　　 real topography and observed SST • ES node number　　128 nodes (1024 CPU)

  19. Tornado with T0613 JMA radar 14JST, 17 Sept. Nobeoka

  20. supercell in Toyohashi

  21. SUMMARY • For high-resolution simulations of high-impact weather systems, we have been developing the cloud-resolving model, CReSS. • The CReSS model is used for both prediction experiments and numerical experiments. • Using the CReSS model, we performed high-resolution simulations of high-impact weather systems: typhoons, tornados, heavy rainfalls etc. • Typhoon 0613 and associated rainbands were successfully simulated with a resolution of 500m. The rainbands are composed of supercells. • The high-resolution (75m) simulation showed that one of the supercells spouted an intense tornado.

  22. Thank you !! The CReSS model is now open to public. If you are interested in CReSS, Please contact to Dr. K. Tsuboki. (HyARC, Nagoya University)

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