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A Comparative Study of Convective Parameterization Schemes in WRF-NMM Model

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International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 33 - Number 6
Year of Publication: 2011
Authors:
Litta A. J.
Sumam Mary Idicula
U. C. Mohanty
10.5120/4026-5739

Litta A J., Sumam Mary Idicula and U C Mohanty. Article: A Comparative Study of Convective Parameterization Schemes in WRF-NMM Model. International Journal of Computer Applications 33(6):32-40, November 2011. Full text available. BibTeX

@article{key:article,
	author = {Litta A. J. and Sumam Mary Idicula and U. C. Mohanty},
	title = {Article: A Comparative Study of Convective Parameterization Schemes in WRF-NMM Model},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {33},
	number = {6},
	pages = {32-40},
	month = {November},
	note = {Full text available}
}

Abstract

Severe local storms, including tornadoes, damaging hail and wind gusts, frequently occur over the eastern and northeastern states of India during the pre-monsoon season (March-May). Forecasting thunderstorms is one of the most difficult tasks in weather prediction, due to their rather small spatial and temporal extension and the inherent non-linearity of their dynamics and physics. In this paper, sensitivity experiments are conducted with the WRF-NMM model to test the impact of convective parameterization schemes on simulating severe thunderstorms that occurred over Kolkata on 20 May 2006 and 21 May 2007 and validated the model results with observation. In addition, a simulation without convective parameterization scheme was performed for each case to determine if the model could simulate the convection explicitly. A statistical analysis based on mean absolute error, root mean square error and correlation coefficient is performed for comparisons between the simulated and observed data with different convective schemes. This study shows that the prediction of thunderstorm affected parameters is sensitive to convective schemes. The Grell-Devenyi cloud ensemble convective scheme is well simulated the thunderstorm activities in terms of time, intensity and the region of occurrence of the events as compared to other convective schemes and also explicit scheme.

Reference

  • Weiss, S. J., Bright, D. R., Kain, J. S., Levit, J. J., Pyle, M. E., Janjic, Z. I., Ferrier, B. S., and Du, J. 2006. Complementary Use of Short-range Ensemble and 4.55 KM WRF-NMM Model Guidance for Severe Weather Forecasting at the Storm Prediction Centre. Preprints, 23rd Conf. Severe Local Storms, ST. Louis MO, Amer. Meteor. Soc.
  • Grell, G. A., and Devenyi, D. 2002 A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophysical Research Letter. 29, Article 1963
  • Yang, M. J., and Tung, Q. C. 2003 Evaluation of rainfall forecasts over Taiwan by four cumulus parameterization schemes. J. Meteor. Soc. Japan. 81, 1163-1183
  • Gallus, W. A. 1999. Eta simulations of three extreme precipitation events: Sensitivity to resolution and convective parameterization. Weather and Forecasting. 14, 405-426
  • Dudhia, J., Weisman, M. L., Skamarock, W. C., and Wang, W. 2003. Studies of heavy rainfall in the United States with WRF. Proceedings, Int. Workshop on NWP Models for Heavy Precipitation in Asia and Pacific Areas, Tokyo, Japan, 84-89
  • Mohanty, U. C. et al. 2006 Weather Summary Pilot Experiment of Severe Thunderstorms-Observational and Regional Modeling (STORM) Programme – 2006
  • Mohanty, U. C. et al. 2007 Weather Summary Pilot Experiment of Severe Thunderstorms-Observational and Regional Modeling (STORM) Programme – 2007
  • Janjic. Z. I. 2003. A Nonhydrostatic Model Based on a New Approach. Meteorology and Atmospheric Physics. 82, 271-285
  • Litta, A. J., and Mohanty, U. C. 2008. Simulation of a severe thunderstorm event during the field experiment of STORM programme 2006, using WRF-NMM model. Current Science. 95, 204-215
  • Litta, A. J., Mohanty, U. C., and Sumam M. I. 2009. Simulation of Severe Squall Line over Kolkata using WRF-NMM model. Lectures on Modeling and Simulation. 10(1), 73-83
  • Litta, A. J., Mohanty, U. C., and Bhan, S. C. 2010 Numerical Simulation of a Tornado over Ludhiana (India) using WRF-NMM model. Meteorological Applications. 16, 164-175
  • Stensrud, D. J., Bao, J. W., and Warner, T. T. 2000. Using initial condition and model physics perturbationsin short-range ensemble simulations of mesoscale convective systems. Mon. Wea. Rev. 128, 2077–2107
  • Kain, J. S. 2004. The Kain–Fritsch Convective Parameterization: An Update. Journal of Applied Meteorology. 43 (1), 170–181
  • Kain, J. S., and Fritsch, J. M. 1993. Convective parameterization for mesoscale models: The Kain-Fritcsh scheme. The representation of cumulus convection in numerical models, K.A. Emanuel and D.J. Raymond, Eds., Amer. Meteor. Soc. 246
  • Janjic, Z. I. 1996b. The Surface Layer in the NCEP Eta Model. 11th Conf. on NWP, Norfolk, VA, American Meteorological Society, 354–355
  • Janjic, Z. I. 2000. Comments on “Development and Evaluation of a Convection Scheme for Use in Climate Models. J. Atmos. Sci. 57, 3686
  • Arakawa, A., and Schubert, W. H. 1974. Interaction of a cumulus cloud ensemble with the large scale environment. Part I. J. Atmos. Sci. 31, 674-701
  • Grell, G. A. 1993. Prognostic Evaluation of Assumptions Used by Cumulus Parameterizations. Mon. Wea. Rev. 121, 764-787
  • Wang, W., and Seaman, N. L. 1997. A comparison study of convective parameterization schemes in a mesoscale model. Mon Wea Rev. 125, 252–278
  • Kuo, Y. H., Reed, R. J., and Liu, Y. 1996. The ERICA IOP 5 Storm. Part III: mesoscale cyclogenesis and precipitation parameterization. Amer Meteor Soc. 124, 1409–1434
  • Kerkhoven, E., Gan, T. Y., Shiiba, M., Reuter, G., and Takana, K. 2006. A comparison of cumulus parameterization schemes in a numerical weather prediction model for a monsoon rainfall event. Hydrol Process. 20, 1961–1978
  • Schwarzkopf, M. D., and Fels, S. B. 1991 The simplified exchange method revisited: An accurate, rapid method for computations of infrared cooling rates and fluxes. J. Geophys. Res. 96, 9075-9096
  • Lacis, A. A., and Hansen, J. E. 1974. A parameterization for the absorption of solar radiation in the earth’s atmosphere. J. Atmos. Sci. 31, 118–133
  • Ek, M. B., Mitchell, K. E., Lin, Y., Rogers, E., Grunmann, P., Koren, V., Gayno, G., and Tarpley, J. D. 2003. Implementation of NOAH land surface model advances in the NCEP operational mesoscale Eta model. J. Geophys. Res. 108, 22, 8851
  • Janjic, Z. I. 2002b. Nonsingular Implementation of the Mellor–Yamada Level 2.5 Scheme in the NCEP Meso model, NCEP Office Note, No. 437, 61
  • Ferrier, B. S., Lin, Y., Black, T., Rogers, E., and DiMego, G. 2002. Implementation of a new grid-scale cloud and precipitation scheme in the NCEP Eta model. Preprints, 15th Conference on Numerical Weather Prediction, San Antonio, TX, Amer. Meteor. Soc. 280-283
  • Janjic, Z. I. 1994. The step–mountain eta coordinate model: further developments of the convection, viscous sublayer and turbulence closure schemes. Mon. Wea. Rev. 122, 927–945
  • Johns, R. H., and Doswell, C. A. 1992. Severe local storms forecasting. Weather and Forecasting. 7, 588-612
  • McNulty, R. P. 1995. Severe and Convective Weather: A Central Region Forecasting Challenge. Weather and Forecasting. 10, 187-202
  • Air Weather Service Technical Report 79/006. 1990. The use of the skew T, Log P diagram in analysis and forecasting. Air Weather Service, Scott AFB, Illinois
  • Miller, R. C. 1972. Notes on Analysis and Severe Storm Forecasting Procedures of the Air Force Global Weather Central AWS TR 200 (revised) Air Weather Service Scott Air Force Base. Illinois.