The NCEP Mesoscale Spectral Model: A Revised Version of the Nonhydrostatic Regional Spectral Model

Hann-Ming Henry Juang Environmental Modeling Center, National Centers for Environmental Prediction, Washington, D.C.

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Abstract

This paper illustrates a modified nonhydrostatic version of the National Centers for Environmental Prediction regional spectral model (RSM). This nonhydrostatic version of the RSM can simulate atmospheric motions of all scales, especially mesoscale. For simplicity, it is referred to in this paper as the mesoscale spectral model (MSM). The preliminary results of the previous version of the MSM have been published on the year of 1992, with coarse resolution in three dimensions and no model physics. A fine-resolution two-dimensional version has been tested on classical problems and published on the year of 1994.

Instead of an externally determined hydrostatic coordinate as originally designed in 1992 MSM, the internally evolved hydrostatic coordinate as used in the RSM is implemented. This modification makes the MSM closer to the hydrostatic version in model structure and dynamics. Besides the hydrostatic perturbation, related to the external hydrostatic state as perturbation nesting, the nonhydrostatic perturbation related to the internally evolved hydrostatic state is introduced. The same model physics used in the RSM are used in the MSM without the hydrostatic assumption. The major numerical techniques used in the hydrostatic version are used in the MSM as well. They are spectral computation, fourth-order horizontal diffusion, time filter, and semi-implicit adjustment for perturbation. The hydrostatic state, interpolated from the hydrostatic global model, is used as the initial condition without initialization or data assimilation, and it can be integrated up to several days with reasonable predictions.

Extended tests of thermal bubbles and mountain waves in very fine resolutions by this revised MSM showed its behavior to be the same as, but not superior to, those of the previous version. These results are compatible to other model results in the literature. Cases using real data with full model physics as used in the RSM show that the revised MSM has reasonable results and is superior to the previous version as compared with the RSM in a coarse horizontal grid resolution of about 50 km. Furthermore, it shows that it can be successfully nested into the hydrostatic global model at 10- to 20-fold differences in horizontal resolution with a small domain due to the well-behaved perturbation nesting over flat plains, coastal oceans, and steep mountains.

Corresponding author address: Dr. Hann-Ming Henry Juang, NCEP/CPC, W/NP5, World Weather Building, Room 806, 5200 Auth Road, Camp Springs, MD 20746.

Abstract

This paper illustrates a modified nonhydrostatic version of the National Centers for Environmental Prediction regional spectral model (RSM). This nonhydrostatic version of the RSM can simulate atmospheric motions of all scales, especially mesoscale. For simplicity, it is referred to in this paper as the mesoscale spectral model (MSM). The preliminary results of the previous version of the MSM have been published on the year of 1992, with coarse resolution in three dimensions and no model physics. A fine-resolution two-dimensional version has been tested on classical problems and published on the year of 1994.

Instead of an externally determined hydrostatic coordinate as originally designed in 1992 MSM, the internally evolved hydrostatic coordinate as used in the RSM is implemented. This modification makes the MSM closer to the hydrostatic version in model structure and dynamics. Besides the hydrostatic perturbation, related to the external hydrostatic state as perturbation nesting, the nonhydrostatic perturbation related to the internally evolved hydrostatic state is introduced. The same model physics used in the RSM are used in the MSM without the hydrostatic assumption. The major numerical techniques used in the hydrostatic version are used in the MSM as well. They are spectral computation, fourth-order horizontal diffusion, time filter, and semi-implicit adjustment for perturbation. The hydrostatic state, interpolated from the hydrostatic global model, is used as the initial condition without initialization or data assimilation, and it can be integrated up to several days with reasonable predictions.

Extended tests of thermal bubbles and mountain waves in very fine resolutions by this revised MSM showed its behavior to be the same as, but not superior to, those of the previous version. These results are compatible to other model results in the literature. Cases using real data with full model physics as used in the RSM show that the revised MSM has reasonable results and is superior to the previous version as compared with the RSM in a coarse horizontal grid resolution of about 50 km. Furthermore, it shows that it can be successfully nested into the hydrostatic global model at 10- to 20-fold differences in horizontal resolution with a small domain due to the well-behaved perturbation nesting over flat plains, coastal oceans, and steep mountains.

Corresponding author address: Dr. Hann-Ming Henry Juang, NCEP/CPC, W/NP5, World Weather Building, Room 806, 5200 Auth Road, Camp Springs, MD 20746.

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  • Asselin, R. A., 1972: Frequency filter for time integration. Mon. Wea. Rev.,100, 487–490.

  • Bubnova, R., G. Hello, P. Benard, and J.-F. Geleyn, 1995: Integration of the fully elastic equations cast in hydrostatic-pressure terrain-following coordinate in the framework of the ARPEGE/ALADIN NWP system. Mon. Wea. Rev.,123, 515–535.

  • Carpenter, R. L., Jr., K. K. Droegemeier, P. R. Woodward, and C. E. Hane, 1990: Application of the piecewise parabolic method (PPM) to meteorological modeling. Mon. Wea. Rev.,118, 586–612.

  • Clark, T. J., 1977: A small scale numerical model using a terrain following coordinate system. J. Comput. Phys.,24, 186–215.

  • Dudhia, J., 1993: A nonhydrostatic version of the Penn State–NCAR mesoscale model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon. Wea. Rev.,121, 1493–1513.

  • Durran, D. R., and J. B. Klemp, 1983: A compressible model for the simulation of moist mountain waves. Mon. Wea. Rev.,111, 2341–2361.

  • Gallus, W. A., and M. Rancic, 1996: A non-hydrostatic version of the NMC’s regional Eta Model. Quart. J. Roy. Meteor. Soc.,122, 495–513.

  • Haltiner, G. J., and R. T. Williams, 1980: Numerical Predictions and Dynamical Meteorology. 2d ed. John Wiley and Sons, 477 pp.

  • Hong, S.-Y., and H.-L. Pan, 1996: Nonlocal boundary layer vertical diffusion in a medium-range forecast model. Mon. Wea. Rev.,124, 2322–2339.

  • ——, and H.-M. H. Juang, 1998: Orography blending in the lateral boundary of a regional model. Mon. Wea. Rev.,126, 1714–1718.

  • ——, ——, and Q. Zhao, 1998: Implementation of prognostic cloud scheme for a regional spectral model. Mon. Wea. Rev.,126, 2621–2639.

  • Ikawa, M., 1988: Comparison of some schemes for nonhydrostatic models with orography. J. Meteor. Soc. Japan,66, 753–776.

  • Juang, H.-M. H., 1992: A spectral fully compressible nonhydrostatic mesoscale model in hydrostatic sigma coordinates: Formulation and preliminary results. Meteor. Atmos. Phys.,50, 75–88.

  • ——, 1994: Testing the NMC nonhydrostatic regional spectral model at cloud scale resolutions. Preprints, 10th Conf. on Numerical Weather Prediction, Portland, OR, Amer. Meteor. Soc., 417–419.

  • ——, and M. Kanamitsu, 1991: Regional spectral modelling in NMC. Preprints, Ninth Conf. on Numerical Weather Prediction, Denver, CO, Amer. Meteor. Soc., 270–273.

  • ——, and ——, 1994: The NMC nested regional spectral model. Mon. Wea. Rev.,122, 3–26.

  • ——, S.-Y. Hong, and M. Kanamitsu, 1997: The NCEP regional spectral model: An update. Bull. Amer. Meteor. Soc.,78, 2125–2143.

  • Kanamitsu, M., and Coauthors, 1991: Recent changes implemented into the global forecast system at NMC. Wea. Forecasting,6, 425–435.

  • Klemp, J. B., and R. Wilhelmson, 1978: The simulation of three-dimensional convective storm dynamics. J. Atmos. Sci.,35, 1070–1096.

  • Laprise, R., 1992: The Euler equations of motion with hydrostatic pressure as an independent variable. Mon. Wea. Rev.,120, 197–207.

  • Miller, M. J., and R. P. Pearce, 1974: A three-dimensional primitive equation model of cumulonimbus convection. Quart. J. Roy. Meteor. Soc.,100, 133–154.

  • NOAA/NMC Development Division, 1988: Documentation of the NMC global model. 244 pp. [Available from NOAA/NCEP Environmental Modeling Center, 5200 Auth Rd., Washington, DC 20233.].

  • Ogura, Y., and N. A. Phillips, 1962: Scale analysis of deep and shallow convection in the atmosphere. J. Atmos. Sci.,19, 173–179.

  • Orlanski, I., 1981: The quasi-hydrostaic approximation. J. Atmos. Sci.,38, 572–582.

  • Phillips, N. A., 1957: A coordinate system having some special advantages for numerical forecasting. J. Meteor.,14, 184–185.

  • Robert, A., 1993: Bubble convection experiments with a semi-implicit formulation of the Euler equations. J. Atmos. Sci.,50, 1865–1873.

  • Straka, J. M., R. B. Wilhelmson, L. J. Wicker, J. R. Anderson, and K. K. Droegemeier, 1993: Numerical solutions of a nonlinear density current: A benchmark solution and comparison. Int. J. Numer. Methods Fluids,17, 1–22.

  • Tanguay, M., A. Robert, and R. Laprise, 1990: A semi-implicit semi-Lagrangian fully compressible regional forecast model. Mon. Wea. Rev.,118, 1970–1980.

  • Tao, W. K., and S.-T. Soong, 1986: A study of the response of deep tropical clouds to mesoscale processes: Three-dimensional numerical experiments. J. Atmos. Sci.,43, 2653–2676.

  • Tapp, M., and P. W. White, 1976: A nonhydrostatic mesoscale model. Quart. J. Roy. Meteor. Soc.,102, 277–296.

  • White, A. A., 1989: An extended version of a nonhydrostatic, pressure coordinate model. Quart. J. Roy. Meteor. Soc.,115, 1243–1251.

  • Xue, M., and A. J. Thorpe, 1991: A mesoscale numerical model using the nonhydrostatic pressure-based σ-coordinate equations: Model experiments with dry mountain flows. Mon. Wea. Rev.,119, 1168–1185.

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