AnalogWx
Machine learning uses historical patterns and analogs to estimate winter storm precipitation probabilities. My biggest project yet—expected Fall 2026.
Hi, I’m Jonathan, a solo developer building weather apps and forecasting models for hobbyists and forecasters alike.
Selected projects
Comfort Index analyzes 840,000 weather values across 455 grid points, twice daily, to show how conditions will feel across the U.S.
Track NWS sounding availability, station coverage, and upper-air data gaps across the contiguous U.S.
An MRMS mosaic with five-minute Level II floating sectors activated for specific events. The current focus is Level II archive GIF generation, now in development.
Machine learning uses historical patterns and analogs to estimate winter storm precipitation probabilities. My biggest project yet—expected Fall 2026.
Solo developer. Weather enthusiast. Building tools for people who want more from the forecast.
My work centers on North Carolina and U.S. weather, with a particular interest in winter storms and historical analogs. wall.cloud is the home for the applications and models that come out of that work.