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Advances in Meteorology
Volume 2010 (2010), Article ID 707253, 10 pages
http://dx.doi.org/10.1155/2010/707253
Research Article

Evaluation of the WRF Double-Moment 6-Class Microphysics Scheme for Precipitating Convection

1Department of Atmospheric Sciences and Global Environment Laboratory, Yonsei University, Seoul 120-749, Republic of Korea
2Forecast Research Laboratory, National Institute of Meteorological Research, Korea Meteorological Administration, Seoul 156-010, Republic of Korea
373rd Weather Group, Korea Air Force, Chungnam 321-923, Republic of Korea
4Mesoscale and Microscale Meteorology Division, National Center for Atmospheric Research, Boulder, CO 80305, USA

Received 24 December 2009; Revised 23 February 2010; Accepted 8 April 2010

Academic Editor: Zhaoxia Pu

Copyright © 2010 Song-You Hong 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. W. C. Skamarock, J. B. Klemp, J. Dudhia, et al., “A description of the advanced research WRF version 3,” Technical Note TN-475+STR, NCAR, 2008.
  2. L. R. Leung, Y.-H. Kuo, and J. Tribbia, “Research needs and directions of regional climate modeling using WRF and CCSM,” Bulletin of the American Meteorological Society, vol. 87, no. 12, pp. 1747–1751, 2006. View at Publisher · View at Google Scholar · View at Scopus
  3. J. S. Kain, S. J. Weiss, J. J. Levit, M. E. Baldwin, and D. R. Bright, “Examination of convection-allowing configurations of the WRF model for the prediction of severe convective weather: the SPC/NSSL Spring Program 2004,” Weather and Forecasting, vol. 21, no. 2, pp. 167–181, 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. 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
  5. S.-Y. Hong and J.-O. J. Lim, “The WRF single-moment 6-class microphysics scheme (WSM6),” Journal of the Korean Meteorological Society, vol. 42, no. 2, pp. 129–151, 2006. View at Scopus
  6. 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
  7. C. M. Shafer, A. E. Mercer, C. A. Doswell III, M. B. Richman, and L. M. Leslie, “Evaluation of WRF forecasts of tornadic and nontornadic outbreaks when initialized with synoptic-scale input,” Monthly Weather Review, vol. 137, no. 4, pp. 1250–1271, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. C. S. Schwartz, J. S. Kain, S. J. Weiss, et al., “Next-day convection-allowing WRF model guidance: a second look at 2-km versus 4-km grid spacing,” Monthly Weather Review, vol. 137, no. 10, pp. 3351–3372, 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. J.-C. Ha, Y.-H. Lee, J.-S. Lee, H.-C. Lee, and H.-S. Lee, “Development of short range analysis and prediction system,” in Proceedings of the 9th Weather Research and Forecasting Model Workshop, pp. 1–4, NCAR Mesoscale and Microscale Meteorology Division, Boulder, Colo, USA, 2008, http://www.mmm.ucar.edu/wrf/users/workshops/.
  10. U.-Y. Byun, H.-W. Kim, Y.-K. Son, and Y.-K. Yum, “Evaluation of the KAF-WRF model during a summer season,” in Autumn Meeting, Korean Meteorological Society, pp. 324–325, Kyungpook National University, Daegu, South Korea, 2009, http://www.komes.or.kr/journal_search/ISS_GotoSearch.php.
  11. K. A. James, D. J. Stensrud, and N. Yussouf, “Value of real-time vegetation fraction to forecasts of severe convection in high-resolution models,” Weather and Forecasting, vol. 24, no. 1, pp. 187–210, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. 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
  13. H. Shin and S.-Y. Hong, “Quantitative precipitation forecast experiments of heavy rainfall over Jeju Island on 14–16 September 2007 using the WRF model,” Asia-Pacific Journal of Atmospheric Sciences, vol. 45, no. 1, pp. 71–89, 2009. View at Scopus
  14. J. G. Powers, “Numerical prediction of an Antarctic severe wind event with the Weather Research and Forecasting (WRF) model,” Monthly Weather Review, vol. 135, no. 9, pp. 3134–3157, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. X.-Y. Huang, Q. Xiao, D. M. Barker, et al., “Four-dimensional variational data assimilation for WRF: formulation and preliminary results,” Monthly Weather Review, vol. 137, no. 1, pp. 299–314, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. J. A. Otkin and T. J. Greenwald, “Comparison of WRF model-simulated and MODIS-derived cloud data,” Monthly Weather Review, vol. 136, no. 6, pp. 1957–1970, 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. J. J. Shi, W.-K. Tao, S. Lang, S. S. Chen, S.-Y. Hong, and C. Peters-Lidard, “An improved bulk microphysical scheme for studying precipitation processes: comparisons with other schemes,” in AGU Joint Assembly, Acapulco, Mexico, May 2007, American AU11 Geophysical Union, ID A41D-02, http://www.agu.org/.
  18. Y. Lin and B. A. Colle, “The 4-5 December 2001 IMPROVE-2 event: observed microphysics and comparisons with the weather research and forecasting model,” Monthly Weather Review, vol. 137, no. 4, pp. 1372–1392, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. I.-H. Jo, K.-D. An, E.-H. Lim, and D.-U. Chang, “Improvement of the precipitation forecasting of a light-precipitation category in the WRF microphysics scheme during a winter season,” in Autumn Meeting, Korean Meteorological Society, pp. 248–249, Kongju National University, Daejeon, South Korea, 2008, http://www.komes.or.kr/journal_search/ISS_GotoSearch.php.
  20. J. Dudhia, S.-Y. Hong, and K.-S. Lim, “A new method for representing mixed-phase particle fall speeds in bulk microphysics parameterizations,” Journal of the Meteorological Society of Japan, vol. 86A, pp. 33–44, 2008.
  21. K.-S. S. Lim and S.-Y. Hong, “Development of an effective double-moment cloud microphysics scheme with prognostic Cloud Condensation Nuclei (CCN) for weather and climate models,” Monthly Weather Review, vol. 138, pp. 1587–1612, 2010.
  22. H. Morrison, G. Thompson, and V. Tatarskii, “Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: comparison of one- and two-moment schemes,” Monthly Weather Review, vol. 137, no. 3, pp. 991–1007, 2009. View at Publisher · View at Google Scholar · View at Scopus
  23. S. Twomey, “The nuclei of natural cloud formation part II: the supersaturation in natural clouds and the variation of cloud droplet concentration,” Pure and Applied Geophysics, vol. 43, no. 1, pp. 243–249, 1959. View at Publisher · View at Google Scholar · View at Scopus
  24. M. Khairoutdinov and Y. Kogan, “A new cloud physics parameterization in a large-eddy simulation model of marine stratocumulus,” Monthly Weather Review, vol. 128, no. 1, pp. 229–243, 2000. View at Scopus
  25. J.-M. Cohard and J.-P. Pinty, “A comprehensive two-moment warm microphysical bulk scheme. I: description and tests,” Quarterly Journal of the Royal Meteorological Society, vol. 126, no. 566, pp. 1815–1842, 2000. View at Scopus
  26. J. S. Kain and J. Kain, “The Kain-Fritsch convective parameterization: an update,” Journal of Applied Meteorology, vol. 43, no. 1, pp. 170–181, 2004. View at Scopus
  27. 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
  28. 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
  29. 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 D, vol. 102, no. 14, pp. 16663–16682, 1997. View at Scopus
  30. 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
  31. Z. Janjic, “Nonsigular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP global model,” NCEP Office Note, no. 437, 2002.
  32. G. L. Mellor and T. Yamada, “Development of a turbulence closure model for geophysical fluid problems,” Reviews of Geophysics & Space Physics, vol. 20, no. 4, pp. 851–875, 1982. View at Scopus
  33. M.-S. Koo and S.-Y. Hong, “Diurnal variations of simulated precipitation over East Asia in two regional climate models,” Journal of Geophysical Research D, vol. 115, no. 5, Article ID D05105, 17 pages, 2010. View at Publisher · View at Google Scholar · View at Scopus
  34. G. J. Huffman, R. F. Adler, D. T. Bolvin, et al., “The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales,” Journal of Hydrometeorology, vol. 8, no. 1, pp. 38–55, 2007. View at Publisher · View at Google Scholar · View at Scopus
  35. T. D. Crum and R. L. Alberty, “The WSR-88D and the WSR-88D operational support facility,” Bulletin of the American Meteorological Society, vol. 74, no. 9, pp. 1669–1687, 1993. View at Scopus
  36. W. Heiss, D. McGrew, and D. Sirmans, “NEXRAD: next generation weather radar (WSR-88D),” Microwave Journal, vol. 33, pp. 79–98, 1990.
  37. G. Thompson, P. R. Field, W. D. Hall, and R. M. Rasmussen, “A new bulk microphysical parameterization for WRF and MM6,” in Proceedings of the 7th Weather Research and Forecasting Model Workshop, pp. 1–11, NCAR Mesoscale and Microscale Meteorology Division, Boulder, Colo, USA, 2006, http://www.mmm.ucar.edu/wrf/users/workshops/.
  38. M. L. Weisman, W. Wang, and K. Manning, “The use of the RUC DFI initialization for the 2009 WRF-ARW 3 km explicit convective forecasts,” in Proceedings of the 10th Weather Research and Forecasting Model Workshop, pp. 1–18, NCAR Mesoscale and Microscale Meteorology Division, Boulder, Colo, USA, 2009, http://www.mmm.ucar.edu/wrf/users/workshops/.
  39. G. Thompson, P. R. Field, R. M. Rasmussen, and W. D. Hall, “Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: implementation of a new snow parameterization,” Monthly Weather Review, vol. 136, no. 12, pp. 5095–5115, 2008. View at Publisher · View at Google Scholar · View at Scopus
  40. J. W. Wilson and R. D. Roberts, “Summary of convective storm initiaiton and evolution during IHOP: observational and modeling perspective,” Monthly Weather Review, vol. 134, no. 1, pp. 23–47, 2006. View at Scopus
  41. G. A. Grell, J. Dudhia, and D. R. Stauffer, “A description of the Fifth-Generation Penn State/NCAR mesoscale model (MM5),” Technical Note TN-398+STR, NCAR, 1994.
  42. S. J. Ghan, L. R. Leung, and J. McCaa, “A comparison of three different modeling strategies for evaluating cloud and radiation parameterizations,” Monthly Weather Review, vol. 127, no. 9, pp. 1967–1984, 1999. View at Scopus
  43. F. Su, Y. Hong, and D. P. Lettenmaier, “Evaluation of TRMM multisatellite precipitation analysis (TMPA) and its utility in hydrologic prediction in the La Plata Basin,” Journal of Hydrometeorology, vol. 9, no. 4, pp. 622–640, 2008. View at Publisher · View at Google Scholar · View at Scopus