A Numerical Study of the Role of Cold Convective Cloud Parameterization in Precipitation Pattern at Ground Surface

In this paper, improvement of the one-dimensional cold thunderstorm model in view of microphysical parameterization has been presented. We included 32 microphysical processes with six water substances including water vapor, cloud droplet, cloud ice ,rain, snow, and hail (graupel) instead of nine cloud microphysical processes with four water substances (water vapor, cloud droplet, rain, and hail) . The developed cloud model showed a significant effect on the precipitation amount and pattern at the ground surface. The maximum rainfall intensity at the surface reached 114 mm/h instead of 34 mm/h. The time period of precipitation became 63 minutes instead of 51 minutes, i. e. it was reduced about 12 minutes. It can be said that the findings of the present study are more reasonable and consistent with the observed thunderstorm precipitation which produces high rainfall intensity naturally in a short period of time at the surface.