In order to assess the performance of operational cloud seeding operations and achieve desirable results, application of numerical cloud model is one of the most important tools. In this paper, effects of silver iodide (AgI) cloud seeding on hail fall have been examined using one dimensional time dependent numerical cloud model. We included 32 microphysical processes with six water substances including water vapor, cloud droplet, cloud ice, rain, snow, and hail (graupel) for natural precipitation and 3 microphysical processes for cloud seeding parameterization. The model has been executed and it is concluded that as AgI introduced into the cloud resulting in graupel/hail mixing ratio reducing about %53. Heterogeneous nucleation of AgI enhanced the cloud ice, therefore snow increased and rainfall enhanced by melting of snow and cloud ice. On the other hand, cloud ice consumed to produce snow and they did not grow up to reach graupel/hail size, consequently the processes that related to growth of graupel/hail decreased strongly.
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
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