An evaluation of a mass-flux cumulus parameterization scheme in the KMA global forecast system

Journal of the Meteorological Society of Japan

Volumn 85, Issue 2, 2007, Pages 151-169

  Park, Hoon ^a   Hong, Song You ^a  

^a Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC CONVECTION; CUMULUS; NORTHERN HEMISPHERE; PRECIPITATION (CLIMATOLOGY); RAINFALL; SEA LEVEL PRESSURE; SOUTHERN HEMISPHERE;

ASIA; EURASIA; FAR EAST; KOREA;

EID: 34447278556     PISSN: 00261165     EISSN: None     Source Type: Journal    
DOI: 10.2151/jmsj.85.151     Document Type: Article

References (41)

1. Arakawa, A., 2004: The cumulus parameterization problem: past, present, and future. J. Climate, 17, 2493-2525.
2. Arakawa, A. and W.H. Schubert, 1974: Interaction of a cumulus cloud ensemble with the large-scale environment, Part I. J. Atmos. Sci., 31, 674-701.
3. Ballish, B., X. Cao, E. Kalnay, and M. Kanamitsu, 1992: Incremental nonlinear normal-mode initialization. Mon. Wea. Rev., 120, 1723-1734.
4. Bélair, S., A. Méthot, J. Mailhot, B. Bilodeau, A. Patoine, G. Pellerin, and J. Côté, 2000: Operational implementation of the Fritsch-Chappell convective scheme in the 24-km Canadian regional model. Wea. Forecasting, 15, 257-274.
5. Cheng, M.-D. and A. Arakawa, 1997: Inclusion of rainwater budget and convective downdrafts in the Arakawa-Schubert cumulus parameterization. J. Atmos. Sci., 54, 1359-1378.
6. Cho, Chun-Ho, 2001: A sensitivity of cumulus and planetary boundary layer parameterization scheme on forecast error. Ph.D. Dissertation, Yonsei University, Seoul, Korea, 170 pp. (in Korean).
7. Das, S., A.K. Mitra, G.R. Iyengar, and J. Singh, 2002: Skill of medium-range forecasts over the Indian monsoon region using different parameterizations of deep convection. Wea. Forecasting, 17, 1194-1210.
8. Frank, W.M. and C. Cohen, 1987: Simulation of tropical convective systems. Part I: A cumulus parameterization. J. Atmos. Sci., 44, 3787-3799.
9. Fritsch, J.M. and C.F. Chappell, 1980: Numerical prediction of convectively driven mesoscale pressure systems. Part I: Convective parameterization. J. Atmos. Sci., 37, 1722-1733.
10. Fritsch, J.M. and R.E. Carbone, 2004: Improving quantitative precipitation forecasts in the warm season: A USWRP research and development strategy. Bull. Amer. Meteor. Soc., 85, 955-965.
11. Grell, G.A., 1993: Prognostic evaluation of assumptions used by cumulus parameterization. Mon. Wea. Rev., 121, 764-787.
12. Holtslag, A.A.M. and B.A. Boville, 1993: Local versus nonlocal boundary-layer diffusion in a global climate model. J. Climate, 6, 1825-1842.
13. Hong, S.-Y., 2004: Comparison of heavy rainfall mechanisms in Korea and the central US. J. Meteor. Soc. Japan, 82, 1469-1479.
14. Hong, S.-Y. and H.-L. Pan, 1998: Convective trigger function for a mass flux cumulus parameterization scheme. Mon. Wea. Rev., 126, 2599-2620.
15. Iwasaki, T., S. Yamada, and K. Tada, 1989: A parameterization scheme of orographic gravity wave drag with two different vertical partitionings. I - Impacts on medium range forecasts. J. Meteor. Soc. Japan, 67, 11-27.
16. Jakob, C. and A. P. Siebesma, 2003: A new subcloud model for mass-flux convection schemes: Influence on triggering, updraft properties, and model climate. Mon. Wea. Rev., 131, 2765-2778.
17. Johnson, R.H., 1976: The role of convective-scale precipitation downdrafts in cumulus and synoptic-scale interactions. J. Atmos. Sci., 33, 1890-1910.
18. Kanamitsu, M., K. Tada, T. Kudo, N. Sato, and S. Isa, 1983: Description of the JMA operational spectral model. J. Meteor. Soc. Japan, 61, 812-828.
19. Kessler, E., 1969: On the distribution and continuity of water substance in atmospheric circulation. Meteor. Monogr. 10:32, American Meteoro. Soc., Boston, MA. 84 pp.
20. Kuo, H.L., 1965: On formation and intensification of tropical cyclones through latent heat release by cumulus convection. J. Atmos. Sci., 22, 40-63.
21. Kuo, H.L., 1974: Further studies of the parameterization of the influence of cumulus convection, on large-scale flow. J. Atmos. Sci., 31, 1232-1240.
22. Kuo, Y.H. and R.A. Anthes, 1984: Semiprognostic tests of Kuo-type cumulus parameterization schemes in an extratropical convective system. Mon. Wea. Rev., 112, 1498-1508.
23. Lacis, A.A. and J.E. Hansen, 1974: A parameterization for the absorption of solar radiation in the earth's atmosphere. J. Atmos. Sci., 31, 118-133.
24. Lord, S.J. 1978: Development and observational verification of a cumulus cloud parameterization from the anvil clouds of deep tropical convection. Ph.D. Dissertation, University of California, Los Angeles, 359 pp. [Available from UCLA, Los Angeles, CA 90024].
25. Louis, J.F., M. Tiedtke, and J.F. Geleyn, 1982: A short history of the operational PBL parameterization at ECMWF. ECMWF Workshop on Planetary Boundary Parameterizations, November 1981, ECMWF, Reading, England. 59-80.
26. Manabe, S., J. Smagorinsky, and R.F. Strickler, 1965: Simulated climatology of a general circulation model with a hydrological cycle. Mon. Wea. Rev., 93, 767-798.
27. Molinari, J. and T. Corsetti, 1985: Incorporation of cloud-scale and mesoscale downdrafts into a cumulus parameterization: Results of one- and three-dimensional integrations. Mon. Wea. Rev., 113, 485-501.
28. Murphy, A.H. and E.S. Epstein, 1989: Skill Scores and Correlation Coefficients in Model Verification. Mon. Wea. Rev., 117, 572-282.
29. Pan, H.-L. and W.-S. Wu, 1995: Implementing a mass flux convection parameterization package for the NMC medium-range forecast model. NMC office note 409, 40 pp. [Available from NOAA/NWS/NCEP, Environmental Modeling Center, WWB, Room 207, Washington DC 20233.]
30. Park, H., B.K. Park, D.K. Rha, and J.Y. Cho, 2002: An improvement of global model in 2001. KMA/NWPD Tech. Report, 2002-1. (in Korean)
31. Pattanaik, D.R. and V. Satyan, 2000: Effect of cumulus parameterization on the Indian summer monsoon simulated by the COLA general circulation model. J. Meteor. Soc. Japan, 78, 701-717.
32. Peng, M.S., J.A. Ridout, and T.F. Hogan, 2004: Recent modifications of the Emanuel convective scheme in the Navy operational global atmospheric prediction system. Mon. Wea. Rev., 132, 1254-1268.
33. Raymond, W.H. and R.M. Anne, 2003: Conservation of moisture in a hybrid Kuo-type cumulus parameterization. Mon. Wea. Rev., 131, 771-779.
34. Sato, N., P.J. Sellers, D.A. Randall, E.K. Schneider, J. Shukla, J.L. Kinter, Y.-T. Hou, and E. Albertazzi, 1989: Effects of implementing the simple biosphere model in a general circulation model. J. Atmos. Sci., 46, 2757-2782.
35. Sellers, P.J., Y. Mintz, Y.C. Sud, and A. Dalcher, 1986: A simple biosphere model (SiB) for use within general circulation models. J. Atmos. Sci., 43, 505-531.
36. Spencer, P.L. and D.J. Stensrud, 1998: Simulating flash flood events: Importance of the subgrid representation of convection. Mon. Wea. Rev., 126, 2884-2912.
37. Tiedtke, M., 1989: A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Mon. Wea. Rev., 117, 1779-1800.
38. Yang, M.-J. and Q.-C. Tung, 2003: Evaluation of rainfall forecasts over taiwan by four cumulus parameterization schemes. J. Meteor. Soc. Japan, 81, 1163-1183.
39. Wang, W. and N. Seaman, 1997: A comparison study of convective parameterization schemes in a mesoscale model. Mon. Wea. Rev., 125, 252-278.
40. Zhang, D.-L. and K. Gao, 1989: Numerical simulation of an intense squall line during 10-11 June 1985 PRE-STORM. Part II: Rear inflow, surface pressure perturbations and stratiform precipitation. Mon. Wea. Rev., 117, 2067-2094.
41. Zhao, Q. and F. Carr, 1997: A prognostic cloud scheme for operational NWP models. Mon. Wea. Rev., 125, 1931-1953.