Global Temperature Anomaly Network
Interactive 3D climate-data-analytics simulator: a global network of weather stations reports live temperature anomalies against their historical baseline, flags stations crossing a z-score threshold, and tracks a simulated ENSO-like warm/cool patch drifting across the globe.
Climate analytics rarely looks at raw temperature — it looks at how far each place deviates from its own historical normal. This simulator scatters a network of stations across a 3D globe, gives each one a latitude- and season-dependent climatological baseline, and then drives a live reading that drifts with a long-term warming trend, a wandering ENSO-like warm/cool patch, and small day-to-day noise. Every station's anomaly is converted to a z-score against its expected variability and colour-coded on a cold-to-hot diverging scale, and stations crossing your chosen threshold pulse and are counted live — the same detect-and-flag workflow real climate-monitoring pipelines use on satellite and ground-station data.
A 3D network of simulated weather stations reports live temperature anomalies against each station's own climatological baseline, converts them to z-scores, and flags stations crossing a statistical threshold as a drifting ENSO-like warm/cool patch sweeps the globe.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install