One surface, not scattered dots
Every station and satellite pass is kriged onto a single 1 km grid, not snapped to its nearest neighbor. Where coverage is thin, cells carry honest uncertainty instead of a silent zero.
Isotherm fuses 41,000 ground stations, satellite passes, and reanalysis models into one continuous temperature surface, so you can see where heat is gathering hours before the monthly average admits it.
A station is a pinprick. The weather between two of them is a guess. Isotherm makes that guess explicit, gridded, and queryable, then tells you how sure it is.
Every station and satellite pass is kriged onto a single 1 km grid, not snapped to its nearest neighbor. Where coverage is thin, cells carry honest uncertainty instead of a silent zero.
Each grid cell remembers its 1991 to 2020 normal, so you read departures in warm and cool at a glance. A mild-sounding 24°C in February still lights up when it should.
Pull any cell, any hour, back to 1880 through a typed API. Isotherm answers in GeoJSON, Arrow, or CSV, with the provenance of every reading attached to the value.
# any point, any moment GET /v1/field?lat=48.85&lon=2.35&at=now { "temp_c": 24.1, "anomaly_c": +3.2, "base": "1991-2020", "grid_km": 1, "src": ["stn","sat","era5"] }
Each ridge is a decade of global surface temperature, drawn back to front. The cool teal band at the back is the late 1800s. The warm crest pushing forward is now. Nobody needs the trend explained twice.
The free tier includes 10,000 cell queries a month and the full archive back to 1880. No card, no sales call, no throttling on the history.
curl https://api.isotherm.dev/v1/field?lat=..&lon=..