ATMOSPHERIC TURBULENCE ALGORITHM MODEL FOR FLIGHT PROBLEMS INFORMATION SYSTEMS

摘要

Natural disasters now occur frequently in Indonesia, especially those relating to atmospheric anomalies. The development of models for forecasting based convective cloud growth events is necessary to understand the symptoms of atmospheric anomalies. Comparisons of the analyses of the turbulence that affected the Etihad Airways EY-474 on May 7, 2016, and Batik Air ID6890 on October 24, 2017, are specific to disturbance occurring during sunny weather. The identity turbulence events experienced by Batik Air aircraft, flight number ID 6890 type B737-800 NG, and determine the best parameters for identifying turbulence in these events. To solve turbulence problems, a method for analyzing convective clouds using the global forecasting model. To determine the turbulence potential, a turbulence index is required, like that for the Richardson index (Ri). The Ri index takes into account the vertical wind shear and the stability of the air, which makes it ideal for describing clear air turbulence (CAT). In this study, negative Ri results tend to indicate mild confusion due to atmospheric conditions, whereas Ri 0.25 has a high chance of turbulence. In this study, the results of the turbulent motion indicated by CAT and not stated.