April 11, 2024

Generating Heat Maps for Turbulence - Imputing Turbulence Readings Through Spatio-Temporal Weighting

This presentation introduces a novel method for addressing the challenge of predicting accurate clear-air turbulence. While planes can directly measure the Eddy Dissipation Rate (EDR), a crucial indicator of turbulence, our approach makes the data accessible over a large scale by processing observations from multiple flights. We generate EDR heat maps by applying spatio-temporal weighting to impute turbulence readings. The validation of our model using K- Fold cross-validation yields promising results. This innovative approach can potentially advance aviation safety by providing pilots with precise mappings of the invisible danger around them.

About the speaker

Mr. Joel Williams is a PhD student attending the University of Texas Rio Grande Valley from the School of Mathematical and Statistical Sciences, studying Mathematics and Statistics with Interdisciplinary Applications.