A cloud-base quasi-balance constraint for parameterized convection: Application to the Kain-Fritsch cumulus scheme

Monthly Weather Review

Volumn 133, Issue 11, 2005, Pages 3315-3334

  Ridout, James A ^a   Jin, Yi ^b   Liou, Chi Sann ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

^b SCIENCE APPLICATIONS INTERNATIONAL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY LAYERS; CLOUDS; COMPUTER SIMULATION; HEAT CONVECTION; MATHEMATICAL MODELS; RAIN;

AVAILABLE BUOYANT ENERGY (ABE); CLOUD BASE QUASI BALANCE (CBQ); SINGLE COLUMN MODEL SIMULATION;

METEOROLOGY;

CONVECTIVE CLOUD; CUMULUS; PARAMETERIZATION; RAINFALL;

GREAT PLAINS; NORTH AMERICA;

EID: 28944446688     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR3034.1     Document Type: Article

References (22)

1. Chen, S., and Coauthors, 2003: COAMPS version 3 model description - General theory and equations. Naval Research Laboratory Tech. Rep. NRL/ PU7500-04-448, 141 pp.
2. Dai, A., F. Giorgi, and K. E. Trenberth, 1999: Observed and model-simulated diurnal cycles of precipitation over the contiguous United States. J. Geophys. Res., 104, 6377-6402.
3. Emanuel, K. A., 1991: A scheme for representing cumulus convection in large-scale models. J. Atmos. Sci., 48, 2313-2335.
4. Emanuel, K. A., and M. Zivkovic-Rothman, 1999: Development and evaluation of a convection scheme for use in climate models. J. Atmos. Sci., 56, 1766-1782.
5. 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.
6. Fritsch, J. M., C.F. Chappell, and L. R. Hoxit, 1976: The use of large-scale budgets for cumulus parameterization. Mon. Wea. Rev., 104, 1408-1418.
7. Hodur, R. M., 1997: The Naval Research Laboratory's Coupled Ocean/ Atmosphere Mesoscale Prediction System (COAMPS). Mon. Wea. Rev., 125, 1414-1430.
8. Hogan, T. F., T. E. Rosmond, and R. Gelaro, 1991: The NOGAPS forecast model: A technical description. NOARL Rep. 13, Naval Research Laboratory (formerly NOARL), Monterey, CA, 220 pp.
9. Kain, J. S., 2004: The Kain-Fritsch convective parameterization: An update. J. Appl. Meteor., 43, 170-181.
10. Kain, J. S., and M. Fritsch, 1990: A one-dimensional entraining/ detraining plume model and its application in convective parameterization. J. Atmos. Sci., 47, 2784-2802.
11. Kain, J. S., and M. Fritsch, 1993: Convective parameterization for mesoscale models: The Kain-Fritsch scheme. The Representation of Cumulus Convection in Numerical Models, Meteor. Monogr., No. 46, Amer. Meteor. Soc., 165-170.
12. Kain, J. S., and M. Fritsch, 1998: Multiscale convective overturning in mesoscale convective systems: Reconciling observations, simulations and theory. Mon. Wea. Rev., 126, 2254-2273.
13. Kain, J. S., M. E. Baldwin, and S. J. Weiss, 2003: Parameterized updraft mass flux as a predictor of convective activity. Wea. Forecasting, 18, 106-116.
14. Mellor, G. L., and T. Yamada, 1982: Development of a turbulence closure for geophysical fluid problems. Rev. Geophys. Space Phys., 20, 851-875.
15. Nachamkin, J. E., S. Chen, and J. S. Schmidt, 2005: Evaluation of heavy precipitation forecasts using composite-based methods: A distributions-oriented approach. Mon. Wea. Rev., 133, 2163-2177.
16. Peng, M. S., and T. F. Hogan, 2002: Performance of NOGAPS on the predictions of tropical cyclones using different convective parameterization schemes. Selected Papers of the Fourth Conference on East Asia and Western Pacific Meteorology and Climate, C.-P. Chang et al., Eds., World Scientific, 237-243.
17. 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.
18. Raymond, D. J., 1995: Regulation of moist convection over the west Pacific warm pool. J. Atmos. Sci., 52, 3945-3959.
19. Ridout, J. A., 2002: Sensitivity of tropical Pacific convection to dry layers at mid to upper levels: Simulation and parameterization tests. J. Atmos. Sci., 59, 3362-3381.
20. Schaefer, J. T., 1990: The critical success index as an indicator of warning skill. Wea. Forecasting, 5, 570-575.
21. Stokes, G. M., and S. E. Schwartz, 1994: The Atmospheric Radiation Measurement (ARM) Program: Programmatic background and design of the Cloud and Radiation Test Bed. Bull. Amer. Meteor. Soc., 75, 1201-1221.
22. Waliser, D. E., J. A. Ridout, S. Xie, and M. Zhang, 2002: Variational objective analysis for atmospheric field programs: A model assessment. J. Atmos. Sci., 59, 3436-3456.