AI Summary

A forecasting tool created by Institute of Technology senior Zachary Kopel is now employed by the U.S. Space Force to anticipate hazardous convective wind events, such as microbursts that could endanger rockets during launches. The tool, named the Microburst Day Potential Index, merges a forecasting index with a machine‑learning model and processes weather balloon data—temperature, pressure and dew point—through a Python‑based physics engine to estimate the daily likelihood of a microburst. The system was developed as Kopel’s senior design project.

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