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New generation of multi-scale NWP system (GRAPES): general scientific design

  • Articles/Atmospheric Sciences
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Chinese Science Bulletin

Abstract

A new generation of numerical prediction system GRAPES (a short form of Global/Regional Assimilation and PrEdiction System) was set up in China Meteorological Administration (CMA). This paper focuses on the scientific design and preliminary results of the numerical prediction model in GRAPES, including basic idea and strategy of the general scientific design, multi-scale dynamic core, physical package configuration, architecture and parallelization of the codes. A series of numerical experiments using the real data with horizontal resolutions from 10 to 280 km and idealized experiments with very high resolution up to 100 m are conducted, giving encouraging results supporting the multi-scale application of GRAPES. The results of operational implementation of GRAPES model in some NWP centers are also presented with stress at evaluations of the capability to predict the main features of precipitation in China. Finally the issues to be dealt with for further development are discussed.

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References

  1. Bjerknes V. Das Problem der Wettervorhersage, betrachtet vom Stanpunkt der Mechanik und der Physik. Meteor Zeits, 1904, 21: 1–7

    Google Scholar 

  2. Richardson L F. Weather Prediction by Numerical Process. London: Cambridge University Press, 1922, reprinted Dover, New York, 1965. 236

    Google Scholar 

  3. Haltiner G J, Williams R T. Numerical Prediction and Dynamic Meteorology. New York: John Wiley & Sons Press, 1971, reprinted in USA, 1980. 1–3

    Google Scholar 

  4. Charney J G. Dynamical forecasting by numerical process. Boston, MA: Compendium of Meteorology, Am Meteor Soc, 1951

    Google Scholar 

  5. Rossby C G. Relation between variations in the intensity of the zonal circulation of the atmosphere and the displacements of the semi-permanent centers of action. J Mar Res, 1939, 2: 38–55

    Google Scholar 

  6. Rossby C G. Planetary flow patterns in the atmosphere. Quart J Roy Meteor Soc, 1940, 66(Suppl): 68–87

    Google Scholar 

  7. Rossby C G. On the propagation of frequencies and energies in certain types of oceanic and atmospheric waves. J Meteor, 1945, 2: 187–204

    Google Scholar 

  8. Charney J G, Fjortoft R, Von Neuman J. Numerical integration of the barotropic vorticity equation. Tellus, 1950, 2: 237–254

    Article  Google Scholar 

  9. Kalnay E. Atmospheric modeling, data assimilation and predictability. Cambridge: Cambridge University Press, 2003. 4–12

    Google Scholar 

  10. WMO. Numerical weather prediction progress report for 2001. WMO technical document. WMO/TD-N0.1151, NWPP report series No. 28. 2001

  11. WMO. Numerical weather prediction progress report for 2002. WMO technical document. WMO/TD-N0.1208, NWPP report series No. 29. 2002

  12. Gu Z C. Issues on uses of the historical meteorological data in numerical weather prediction (in Chinese). Acta Meteor Sin, 1958, 29(3): 176–184

    Google Scholar 

  13. Chou J F. Issues on using the historical meteorological data in numerical weather prediction (in Chinese). Sci Sin, 1974, 17(6): 814–825

    Google Scholar 

  14. Zeng Q C, Ji Z Z, Yuan Z G. Design of a differential scheme of primitive equations. Proceedings of the Second National Workshop on Numerical Weather Prediction (in Chinese). Beijing: Sciences Press, 1980. 300–313

    Google Scholar 

  15. Chen X S, et al. Three vertical-level model of primitive equations. Proceedings of National Workshop on Numerical Prediction and Statistic Forecast (in Chinese). Beijing: Sciences Press, 1974. 135–138

    Google Scholar 

  16. Zhu B Z, Chen J B, Zhang D M, et al. A modified baroclinic model of primitive equations with a σ-vertical coordinate (in Chinese). Acta Meteorol Sin, 1983, 2: 41–56

    Google Scholar 

  17. Ji L R, Chen J B, Zhang D M. A global spectral model with diabatic physical process and its preliminary experimental results. Collection of the Research Papers on the Medium Range Weather Forecasts (in Chinese). Beijing: Meteorological Press, 1990. 27–40

    Google Scholar 

  18. Guo X R, Zhang Y L, Yan Z H, et al. A limited area analysis and forecast system and its operational application (in Chinese). Acta Meteorol Sin, 1995, 53(3): 306–318

    Google Scholar 

  19. Yu R C. A design of a limited area numerical prediction model in consideration of the deep topography and its application in numerical prediction experiment of a torrential rainfall in Ya’an (in Chinese). Dissertation for the Doctoral Degree. Beijing: Institute of Atmospheric Physics Chinese Academy of Sciences, 1992

    Google Scholar 

  20. Zhou X P, Wang D H. On numerical model for short term storm prediction Part I: a scientific design of the model dynamic core (in Chinese). Atmos Sci, 1996, 20(1): 1–11

    Google Scholar 

  21. Hu Z J, Zou G Y. Nonhydrostatic atmospheric model and the anelastic adjustment (in Chinese). Sci China Ser B, 1991, (5): 550–560

  22. Liao D X. On Design of Numerical Atmospheric Models (in Chinese). Beijing: Meteorological Press, 1999. 259–273

    Google Scholar 

  23. Zhong Q. The formulation of fidelity schemes of physical conservation laws and improvements on a traditional spectral model of baroclinic primitive equations for numerical predictions (in Chinese). Acta Meteorol Sin, 1997, 55(6): 641–661

    Google Scholar 

  24. Chen D H, Yang X S, Hu J L, et al. The design strategy of a multiscales unified model dynamic core (in Chinese). Appl Meteorol J, 2003, 14(4): 452–461

    Google Scholar 

  25. Chen D H, Hu Z J, et al. Researchs on Atmospheric Numerical Prediction Model Systems of Chinese Academy of Meteorological Sciences (in Chinese). Beijing: Meteorological Press, 2004

    Google Scholar 

  26. 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, 1998, 126: 1373–1395

    Article  Google Scholar 

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

    Article  Google Scholar 

  28. Cullen M J P. The unified forecast/climate model. Meteor Mag, 1993, 122: 81–94

    Google Scholar 

  29. Bubnova R, Gello G, Bernard P, Geleyn J F. 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 

  30. Wang B, Ji Z Z. On design of a multi-conservative differential scheme and its numerical experiments (in Chinese). Chin Sci Bull, 2003, (7): 738–743

  31. Staniforth A, Cote J. Semi-lagrangian integration schemes for atmospheric models.-review. Mon Weather Rev, 1991, 119: 2206–2223

    Article  Google Scholar 

  32. White A A, Bromley R A. Dynamically-consistent, quasi-hydrostatic equations for global models with a complete representation of the Coriolis force. Quart J Roy Meteor Soc, 1995, 121: 399–418

    Article  Google Scholar 

  33. Gal-Chen T, Sommerville R C J. On the use of a coordinate transformation for the solution of the Navier-Stokes equations. J Comput Phys, 1975, 17: 209–228

    Article  Google Scholar 

  34. Qian J H, Semazzi F H M, Scroggs J S. A global nonhydrostatic semi-Lagrangian atmospheric model with orography. Mon Weather Rev, 1998, 126: 747–770

    Article  Google Scholar 

  35. Robert, A. A semi-lagrangian and semi-implicit numerical integration scheme for the primitive meteorological equations. J Meteorol Soc Jpn, 1982, 60: 319–325

    Google Scholar 

  36. Liao D X, Liu C J, et al. Overview on Some Advanced Techniques of Numerical Weather Prediction (in Chinese). Beijing: Meteorological Press, 1995. 1–75

    Google Scholar 

  37. Hortal M. Aspects of the numeric of the ECMWF model. In: Proceedings of ECMWF Workshop on Recent Development in Numerical Methods for Atmospheric Modeling. Reading: Shinfield Park, 1999. 127–143

    Google Scholar 

  38. Semazzi, H F M, Qian J H, Scroggs J. A global semi_lagrangian semi-implicit atmospheric model, Mon Weather Rev, 1995, 123: 2534–2550

    Article  Google Scholar 

  39. Bates J R, Semazzi F H M, Higgins R W, et al. Integration of the shallow water equation on the sphere using a vector semi-lagrangian scheme with a multigrid solver. Mon Weather Rev, 1990, 118: 615–627

    Google Scholar 

  40. Purser R J, Leslie L M. An efficient interpolation procedure for high-order three-dimensional semi-Lagrangian models. Mon Weather Rev, 1991, 119: 2492–2498

    Article  Google Scholar 

  41. Nair R J, Cote J, Staniforth A. Cascade interpolation for semilagrangian advection over the sphere. Quart J Roy Meteor Soc, 1999, 125: 1445–1468

    Article  Google Scholar 

  42. Hackbusch W, Trottenberg U. Multi-grid methods, Springer Lecture Notes in Mathematics, 1982, 960: 558–575

  43. Eisenstat. Variational interative methods for nonsymmetrical systems of linear equations. SIAM J Numer Anal, 1983, 20: 345–357

    Article  Google Scholar 

  44. Skamarock W C, Smolarkiewicz P K, Klemp J B. Preconditioned conjugate-residual solvers for Helmholtz equations in nonhydrostatic models. Mon Weather Rev, 1997, 125: 587–599

    Article  Google Scholar 

  45. Cullen M J P. The use of dynamical knowledge of the atmosphere to improve NWP models. In: Proceedings of ECMWF Workshop on Recent Development in Numerical Methods for Atmospheric Modeling. Reading: Shinfield Park, 1999. 418–441

    Google Scholar 

  46. Ping F, Gao S T, Wang H J. Progress and improvement of the cumulus parameterization scheme and its application in seasonal climate prediction model (in Chinese). Chin Sci Bull, 2003, 48(7): 708–718

    Google Scholar 

  47. 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 

  48. 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 

  49. 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 

  50. 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 

  51. Yang X S, Hu J L, Chen D H, et al. Verification of GRAPES unified global and regional numerical weather prediction model dynamic core. Chin Sci Bull, 2008, 53(22): 3458–3464

    Article  Google Scholar 

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Correspondence to DeHui Chen.

Additional information

Supported by Key Technologies Research and Development Program (Grant No. 2001BA607B02), National Key Technology Research and Development Program (Grant No. 2006BAC02B03), and National Natural Science Foundation of China (Grant No. 40575050)

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Chen, D., Xue, J., Yang, X. et al. New generation of multi-scale NWP system (GRAPES): general scientific design. Chin. Sci. Bull. 53, 3433–3445 (2008). https://doi.org/10.1007/s11434-008-0494-z

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  • DOI: https://doi.org/10.1007/s11434-008-0494-z

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