Review of Operational Multi-Scale Environment Model with Grid Adaptivity

  • Kang, Sung-Dae (Forecast Research Laboratory Meterological Research Institute Korea, Meterological Administration)
  • Published : 2001.03.01

Abstract

A new numerical weather prediction and dispersion model, the Operational Multi-scale Environment model with Grid Adaptivity(OMEGA) including an embedded Atmospheric Dispersion Model(ADM), is introduced as a next generation atmospheric simulation system for real-time hazard predictions, such as severe weather or the transport of hazardous release. OMEGA is based on an unstructured grid that can facilitate a continuously varying horizontal grid resolution ranging from 100 km down to 1 km and a vertical resolution from 20 -30 meters in the boundary layer to 1 km in the free atmosphere. OMEGA is also naturally scale spanning and time. In particular, the unstructured grid cells in the horizontal dimension can increase the local resolution to better capture the topography or important physical features of the atmospheric circulation and cloud dynamics. This means the OMEGA can readily adapt its grid to a stationary surface, terrain features, or dynamic features in an evolving weather pattern. While adaptive numerical techniques have yet to be extensively applied in atmospheric models, the OMEGA model is the first to exploit the adaptive nature of an unstructured gridding technique for atmospheric simulation and real-time hazard prediction. The purpose of this paper is to provide a detailed description of the OMEGA model, the OMEGA system, and a detailed comparison of OMEGA forecast results with observed data.

Keywords

References

  1. Meteorology and Atmospheric Physics v.49 A comprehensive Meteorological Modeling System-RAMS Pielke, R.A.;W.R. Cotton;R.L. Walko;C.J. Tremback;W.A. Lyons;L.D. Grasso;M.E. Nicholls;M.D. Moran;D.A. Wesley;T.J. Lee;J.H. Copeland
  2. NCAR/TN-398+IA A Description of the Fifth-Generaiton Penn State/NCAR Mesoscale Model(MM5) Grell, G. A.;J. Dudhia;D. R. Stauffer
  3. ARPS Version 4.0 Users Guide Xue, M.;K. K. Drogemeier;V. Wong;A. Shapiro;K. Brewster
  4. Model. Mon. Wea. Rev. v.126 The Operational CMC-Environmental Cote, J. S.(et al.)
  5. Wea. Forecasting v.4 The regional analysis and forecast system of the National Meteorological Center Hoke, J. E.;N. A. Phillips;G. J. DiMego;J. J. Tuccillo;J. G. Sela
  6. Mon. Wea. Rev. v.118 The step-mountain coordinate : physical package Janjic, Z. I.
  7. Mon. Wea. Rev. v.116 The step-mountain coordinate : Model description and performance for cases of Alpine lee cyclogenesis and for a case of an Appalachian redevelopment Mesinger, F.(et al.)
  8. 2001- An NMC Od-yssey. Ninth Conf. on Num. Wea. Prediction McPherson, R.
  9. Mon. Wea. Rev. v.121 A nonhydrostatic version of the Penn State/NCAR Mesoscale model : Validation tests and simulation of an Atlantic cyclone and cold front Dudia, J.
  10. Mon. Wea. Rev. v.121 Adaptive grid refinement for two-dimensional and three-dimensional nonhydrostatic atmospheric flow Skamarock, W. C.;J. B. Klemp