That sounds like a neat data‑driven forest study. I’d start by treating the wind as a graph, mapping nodes at key canopy layers and edges as airflow vectors. Then run a clustering algorithm to spot hidden streams. The trick is getting accurate, high‑frequency data—without that, you’ll end up chasing noise. If you can pull that off, you might just surface microclimates nobody noticed.