Abstract
Natural disasters now often occur in Indonesia, especially regarding atmospheric anomalies. The models of forecasting based convective cloud growth events are necessary to understand the anomaly symptoms of the atmosphere. This research solves a problem, we propose a method that can analyze the convective cloud with Weather Research and Forecasting (WRF) model. The potential of turbulence then needed turbulence index like Richardson Number (Ri). The Richardson Number Index (Ri) takes into account the value of Vertical Wind Shear and the stability of the air. This causes Ri to be considered ideal for describing Clear Air Turbulence (CAT). In this study, the negative Ri results tend to experience mild turbulence due to atmospheric conditions with Ri < 0.25 has a great chance of turbulence.
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