What we have done so far
We have built the full data pipeline and the interactive visualizations shown above. A Python tool scans all 1,440 five-minute GOES-16 fire scans from January 7-11, 2025 and extracts every fire pixel inside the Los Angeles basin, and there are 7,790 detections in total. We then sort each into the Palisades fire, the Eaton fire, or other nearby activity. From that dataset we built a scrollytelling visualization with an animated map the reader can play, pause, and scrub, as well as a synchronized radiative-power timeline, on-map annotations for the key moments, and live instrument readouts. We also made a second interactive visualization to let the readers resample the data and see for themselves why GOES's high cadence matters. To ground the story's claim that a fire "surges with the wind," we layered in the real Santa Ana wind from ERA5 reanalysis, aligned frame-for-frame with the fire, so the reader can watch the two rise and fall together.