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Advances in Meteorology
Volume 2010 (2010), Article ID 959014, 8 pages
http://dx.doi.org/10.1155/2010/959014
Research Article

Orography-Induced Gravity Wave Drag Parameterization in the Global WRF: Implementation and Sensitivity to Shortwave Radiation Schemes

1Department of Atmospheric Sciences and Global Environment Laboratory, Yonsei University, Seoul 120-749, Republic of Korea
2Mesoscale and Microscale Meteorology Division, National Center for Atmospheric Research, Boulder, CO 80305, USA
3Marine Meteorology Division, Naval Research Laboratory, Monterey, CA 93943, USA

Received 24 December 2009; Accepted 24 March 2010

Academic Editor: Hann-Ming Henry Juang

Copyright © 2010 Hyeyum Hailey Shin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S.-Y. Hong and J.-W. Lee, “Assessment of the WRF model in reproducing a flash-flood heavy rainfall event over Korea,” Atmospheric Research, vol. 93, no. 4, pp. 818–831, 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. K.-S. Lim and S.-Y. Hong, “Numerical simulation of heavy snowfall over the Ho-Nam province of Korea in December 2005,” Journal of the Korean Meteorological Society, vol. 43, no. 2, pp. 161–173, 2007.
  3. M. L. Weisman, C. Davis, W. Wang, K. W. Manning, and J. B. Klemp, “Experiences with 0-36-h explicit convective forecasts with the WRF-ARW model,” Weather and Forecasting, vol. 23, no. 3, pp. 407–437, 2008. View at Publisher · View at Google Scholar · View at Scopus
  4. G. Jianfeng, Q. Xiao, Y.-H. Kuo, D. M. Barker, X. Jishan, and M. Xiaoxing, “Assimilation and simulation of typhoon Rusa (2002) using the WRF system,” Advances in Atmospheric Sciences, vol. 22, no. 3, pp. 415–427, 2005. View at Scopus
  5. X. Li and Z. Pu, “Sensitivity of numerical simulation of early rapid intensification of Hurricane Emily (2005) to cloud microphysical and planetary boundary layer parameterizations,” Monthly Weather Review, vol. 136, no. 12, pp. 4819–4838, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. M. S. Bukovsky and D. J. Karoly, “Precipitation simulations using WRF as a nested regional climate model,” Journal of Applied Meteorology and Climatology, vol. 48, no. 10, pp. 2152–2159, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. S.-R. Ham, S.-J. Park, C.-H. Bang, B.-J. Jung, and S.-Y. Hong, “Intercomparison of the East-Asian summer monsoon on 11-18 July 2004, simulated by WRF, MM5, and RSM models,” Atmosphere, vol. 15, no. 2, pp. 91–99, 2005.
  8. W.-C. Skamarock, “Global WRF development,” in Proceedings of the 9th WRF User's Workshop, Boulder, Colo, USA, June 2008.
  9. Y.-J. Kim, S. D. Eckermann, and H.-Y. Chun, “An overview of the past, present and future of gravity-wave drag parametrization for numerical climate and weather prediction models,” Atmosphere-Ocean, vol. 41, no. 1, pp. 65–98, 2003. View at Scopus
  10. T. N. Palmer, G. J. Shutts, and R. Swinbank, “Alleviation of a systematic westerly bias in general circulation and numerical weather prediction models through an orographic gravity wave drag parameterization,” Quarterly Journal of the Royal Meteorological Society, vol. 112, no. 474, pp. 1001–1039, 1986.
  11. N. A. McFarlane, “The effect of orographically excited gravity wave drag on the general circulation of the lower stratosphere and troposphere,” Journal of the Atmospheric Sciences, vol. 44, no. 14, pp. 1775–1800, 1987.
  12. Y.-J. Kim and A. Arakawa, “Improvement of orographic gravity wave parameterization using a mesoscale gravity wave model,” Journal of the Atmospheric Sciences, vol. 52, no. 11, pp. 1875–1902, 1995. View at Scopus
  13. S.-Y. Hong, J. Choi, E.-C. Chang, H. Park, and Y.-J. Kim, “Lower-tropospheric enhancement of gravity wave drag in a global spectral atmospheric forecast model,” Weather and Forecasting, vol. 23, no. 3, pp. 523–531, 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. W. C. Skamarock, J.-B. Klemp, J. Dudhia, et al., “A description of the advanced research WRF version 3,” Tech. Rep. NCAR/TN-475+STR, 2008.
  15. Y.-J. Kim and J. D. Doyle, “Extension of an orographic-drag parametrization scheme to incorporate orographic anisotropy and flow blocking,” Quarterly Journal of the Royal Meteorological Society, vol. 131, no. 609, pp. 1893–1921, 2005. View at Publisher · View at Google Scholar · View at Scopus
  16. Y.-J. Kim and S.-Y. Hong, “Interaction between the orography-induced gravity wave drag and boundary layer processes in a global atmospheric model,” Geophysical Research Letters, vol. 36, Article ID L12809, 2009. View at Publisher · View at Google Scholar
  17. S.-Y. Hong, “New global orography data sets,” Office Note 424, NCEP, Camp Springs, Md, USA, 1999.
  18. E. J. Mlawer, S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough, “Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave,” Journal of Geophysical Research, vol. 102, no. 14, pp. 16663–16682, 1997. View at Publisher · View at Google Scholar · View at Scopus
  19. S.-Y. Hong, Y. Noh, and J. Dudhia, “A new vertical diffusion package with an explicit treatment of entrainment processes,” Monthly Weather Review, vol. 134, no. 9, pp. 2318–2341, 2006. View at Publisher · View at Google Scholar · View at Scopus
  20. F. Chen and J. Dudhia, “Coupling and advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: model implementation and sensitivity,” Monthly Weather Review, vol. 129, no. 4, pp. 569–585, 2001. View at Scopus
  21. G. A. Grell and D. Dévényi, “A generalized approach to parameterizing convection combining ensemble and data assimilation techniques,” Geophysical Research Letters, vol. 29, no. 14, 1693, 2002. View at Publisher · View at Google Scholar
  22. S.-Y. Hong, J. Dudhia, and S.-H. Chen, “A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation,” Monthly Weather Review, vol. 132, no. 1, pp. 103–120, 2004. View at Scopus
  23. M.-D. Chou and M. J. Suarez, “A solar radiation parameterization for atmospheric studies,” Technical Report Series on Global Modeling and Data Assimilation 104606, 1999.
  24. J. Dudhia, “Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model,” Journal of the Atmospheric Sciences, vol. 46, no. 20, pp. 3077–3107, 1989. View at Scopus
  25. M.-D. Chou, “A solar radiation model for use in climate studies,” Journal of the Atmospheric Sciences, vol. 49, no. 9, pp. 762–772, 1992. View at Scopus
  26. M.-D. Chou and K.-T. Lee, “Parameterizations for the absorption of solar radiation by water vapor and ozone,” Journal of the Atmospheric Sciences, vol. 53, no. 8, pp. 1203–1208, 1996.
  27. J. C. Alpert, M. Kanamitsu, P. M. Caplan, J. G. Sela, G. H. White, and E. Kalnay, “Mountain induced gravity wave drag parameterization in the NMC medium-range forecast model,” in Proceedings of the 8th Conference on Numerical Weather Prediction, pp. 726–733, American Meteorological Society, Baltimore, Md, USA, 1988.
  28. R. J. Zamora, S. Solomon, E. G. Dutton, et al., “Comparing MM5 radiative fluxes with observations gathered during the 1995 and 1999 Nashville southern oxidants studies,” Journal of Geophysical Research, vol. 108, no. D2, 4050, 2003. View at Publisher · View at Google Scholar
  29. Y.-J. Kim, J. D. Farrara, and C. R. Mechoso, “Sensitivity of AGCM simulations to modifications in the ozone distribution and refinements in selected physical parameterizations,” Journal of the Meteorological Society of Japan, vol. 76, no. 5, pp. 695–709, 1998. View at Scopus
  30. A. Shimpo, M. Kanamitsu, S. F. Iacobellis, and S.-Y. Hong, “Comparison of four cloud schemes in simulating the seasonal mean field forced by the observed sea surface temperature,” Monthly Weather Review, vol. 136, no. 7, pp. 2557–2575, 2008. View at Publisher · View at Google Scholar · View at Scopus