Skip to main content
Log in

Verification of GRAPES unified global and regional numerical weather prediction model dynamic core

  • Articles/Atmospheric Sciences
  • Published:
Chinese Science Bulletin

Abstract

During the past few years, most of the new developed numerical weather prediction models adopt the strategy of multi-scale technique. Therefore, China Meteorological Administration has devoted to developing a new generation of global and regional multi-scale model since 2003. In order to validate the performance of the GRAPES (Global and Regional Assimilation and PrEdiction System) model both for its scientific design and program coding, a suite of idealized tests has been proposed and conducted, which includes the density flow test, three-dimensional mountain wave and the cross-polar flow test. The density flow experiment indicates that the dynamic core has the ability to simulate the fine scale nonlinear flow structures and its transient features. While the three-dimensional mountain wave test shows that the model can reproduce the horizontal and vertical propagation of internal gravity waves quite well. Cross-polar flow test demonstrates the rationality of both for the semi-Lagrangian departure point calculation and the discretization of the model near the poles. The real case forecasts reveal that the model has the ability to predict the large-scale weather regimes in summer such as the subtropical high, and to capture the major synoptic patterns in the mid and high latitudes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Cote J, Gravel S, Methot A, et al. The operational CMC-MRB Global Environmental Multiscale (GEM) model. Part I: Design considerations and formulation. Mon Weather Rev, 1998a, 126: 1373–139

    Article  Google Scholar 

  2. Cote J, Gravel S, Methot A, et al. The operational CMC-MRB Global Environmental Multiscale (GEM) model, Part II: Results. Mon Weather Rev, 1998b, 126: 1397–1418

    Article  Google Scholar 

  3. Bubnova R, Gello G, Bernard P, et al. Integration of the fully elastic equations cast in hydrostatic pressure terrain-following coordinate in the framework of the ARPEGE/ALADIN NWP system. Mon Weather Rev, 1995, 123: 515–535

    Article  Google Scholar 

  4. Shen Y F, Hu J L. Slope irradiance scheme in GRAPES and its effect on simulation of short-range weather processes (in Chinese). Chin J Atmos Sci, 2006, 30(6): 1129–1137

    Google Scholar 

  5. Zhang H, Chou J F, Qiu C J. Assimilation analysis of Rammasun typhoon structure over Northwest Pacific using satellite data. Chin Sci Bull, 2004, 49(4): 389–395

    Google Scholar 

  6. Zhang H, Xue J S, Zhu G F, et al. Application of direct assimilation of ATOVS microwave radiances to typhoon track prediction. Adv Atmos Sci, 2004, 21(2): 283–290

    Article  CAS  Google Scholar 

  7. Zhuang S Y, Xue J S, Zhu G F, et al. GRAPES global 3D-Var system: Basic scheme design and single observation test (in Chinese). Chin J Atmos Sci, 2006, 30(3): 533–544

    Google Scholar 

  8. Chen D H, Shen X S. Recent progress on GRAPES research and application (in Chinese). J Appl Meteor Sci, 2006, 17(6): 773–777

    Google Scholar 

  9. Yang X S, Chen J B, Hu J L, et al. Polar discretization of GRAPES global non-hydrostatic semi-implicit semi-Lagrangian model. Sci China Ser D-Earth Sci, 2007, 50(12): 1885–1891

    Article  Google Scholar 

  10. Zhang R H, Shen X S. On the development of the GRAPES—A new generation of the national operational NWP system in China. Chin Sci Bull, 2008, 53(22): 3429–3432

    Article  Google Scholar 

  11. Chen D H, Xue J S, Yang X S, et al. New generation of multi-scale NWP system (GRAPES): general scientific design. Chin Sci Bull, 2008, 53(22): 3433–3445

    Article  Google Scholar 

  12. Xue J S, Zhuang S Y, Zhu G F, et al. Scientific design and preliminary results of three-dimensional variational data assimilation system of GRAPES. Chin Sci Bull, 2008, 53(22): 3446–3457

    Article  Google Scholar 

  13. Zhu G F, Xue J S, Zhang H, et al. Direct assimilation of satellite radiance data in GRAPES variational assimilation system. Chin Sci Bull, 2008, 53(22): 3465–3469

    Article  Google Scholar 

  14. Xu G Q, Chen D H, Xue J S, et al. The program structure designing and optimizing tests of GRAPES physics. Chin Sci Bull, 2008, 53(22): 3470–3476

    Article  Google Scholar 

  15. Williamson D L, Drake J B, Hack J J, et al. A standard test for numerical approximations to the shallow water equations in spherical geometry. J Comput Phys, 1992, 102: 211–224

    Article  Google Scholar 

  16. Held I H, Suarez M J. A proposal for the intercomparison of the dynamical cores of atmospheric general circulation models. Bull Amer Meteor Soc, 1994, 75: 1825–1830

    Article  Google Scholar 

  17. Galewsky J, Richard K S, Polvani LM. An initial-value problem for testing numerical models of the global shallow-water equations. Tellus, 2004, 56A: 429–440

    Google Scholar 

  18. Polvani L M, Scott R K, Thomas S J. Numerically converged solutions of the global primitive equations for testing the dynamical core of atmospheric GCMs. Mon Weather Rev, 2004, 130: 1384–1396

    Google Scholar 

  19. Zuo D T, Zhang M, Zhang D L, et al. Designing and climatic numerical modeling of 21-level AGCM (IAP AGCM-III) Part I: Dynamical Framework (in Chinese). Chin J Atmos Sci, 2004, 13: 660–673

    Google Scholar 

  20. Xue M, Xu Q, Droegemeier K K. A theoretical and numerical study of density currents in non-constant shear flows. J Atmos Sci, 1997, 54: 1998–2019

    Article  Google Scholar 

  21. Xue M, Droegemeier K K, Wong V. The advanced regional prediction system (ARPS)—a multi-scale nonhydrostatic atmospheric simulation and prediction model, Part I: Model dynamics and verification. Meteor Atmos Phys, 2000, 75: 161–193

    Article  Google Scholar 

  22. Saito K, Doms G, Schaetter U, et al. 3-D mountain waves by the Lokal-Modell of DWD and the MRI-mesoscale nonhydrostatic model. Pap Met Geophys, 1998, 49: 7–19

    Article  Google Scholar 

  23. Straka J M, Wilhelmson R B, Wicker L J, et al. Numerical solutions of a non-linear density current: a benchmark solution and comparisons. Int J Num Meth Fluids, 1993, 17: 1–22

    Article  CAS  Google Scholar 

  24. Bauer M B, Mayr G J, Vergeiner I, et al. Strongly nonlinear flow over and around a three-dimension mountain as a function of the horizontal aspect ratio. J Atmos Sci, 2000: 3971–3991

  25. Smith R B. Linear theory of stratified hydrostatic flow past an isolated mountain. Tellus, 1980, 32: 348–364

    Article  Google Scholar 

  26. Wang B, Wan H, Ji Z Z, et al. Design of a new dynamical core for global atmospheric models based on some efficient numerical methods. Sci China Ser A-Math, 2004, 47(Supp): 4–21

    Article  Google Scholar 

  27. Ritche H, Beaudoin C. Approximation and sensitivity experiments with a baroclinic semi-Lagrangian spectral model. Mon Weather Rev, 1994, 116: 1587–1598

    Article  Google Scholar 

  28. McDonald A, Bates J R. Semi-Lagrangian integration of a gridpoint shallow water model on the sphere. Mon Weather Rev, 1989, 117: 130–137

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to XueSheng Yang.

Additional information

Supported by National Key Technology Research and Development (Grant Nos. 2006BAC02B01 and 2006BAC03B03), National High-Tech Research & Development Program of China (Grant No. 2006AA01A123), and National Natural Science Foundation of China (Grant No. 40505023)

About this article

Cite this article

Yang, X., Hu, J., Chen, D. et al. Verification of GRAPES unified global and regional numerical weather prediction model dynamic core. Chin. Sci. Bull. 53, 3458–3464 (2008). https://doi.org/10.1007/s11434-008-0417-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11434-008-0417-z

Keywords

Navigation