Abstract
A comparative study has been carried out using two cumulus parameterization schemes, namely the Kain-Fritsch and Betts-Miller-Janjic schemes within the Atmospheric Regional Prediction System model. The performances of these two schemes are examined for four weather disturbances over the Indian region. The results are evaluated using predicted parameters such as mean sea level pressure, wind, temperature/moisture fields and rainfall. Rainfall and other predicted parameters are discussed on the basis of known synoptic features associated with the disturbances. Rainfall prediction is subjectively assessed based on the amount and spatial distribution. Results indicate that out of the four cases examined, in three, the Betts-Miller-Janjic scheme produced better results whilst in the fourth, the Kain-Fritsch scheme performed better. The Betts-Miller-Janjic convection scheme produced smoother and more convective rainfall rates in all cases.
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