Traditional weather balloons launch once or twice a day from a handful of fixed ground stations, giving only a sparse vertical profile at those few points — huge gaps in space and time can hide a developing storm cell, a temperature inversion or a wind-shear zone entirely. A coordinated swarm of small autonomous weather drones instead spreads across a dense grid of positions and altitudes, sampling continuously and building a real-time 3D map of the atmosphere. This simulation lets you spawn a localized weather phenomenon at a random location and altitude, then compare whether a single balloon's thin sampling path happens to pass through it against whether the swarm's dense coverage reliably catches it — with a running tally of detections and misses for both methods.