PolarForecast is powered by real satellite telemetry from space agencies, not proprietary models. Every number you see on this site can be traced back to a primary source.
Our primary data provider. NOAA's SWPC operates 24/7 to monitor the Sun and the near-Earth space environment. We pull real-time KP index values, 3-day geomagnetic forecasts, 27-day outlooks, and X-ray flux data directly from SWPC's JSON feeds every 15 minutes.
The Deep Space Climate Observatory (DSCOVR) sits at the L1 Lagrange point β 1.5 million km sunward of Earth β giving us approximately 15β60 minutes of warning before solar wind disturbances arrive. The onboard PLASMAG and MAG instruments measure solar wind speed, density, temperature, and the critical Bz component of the interplanetary magnetic field.
NASA provides long-range solar cycle data and coronal mass ejection (CME) analysis via the Space Weather Research Center. We integrate NASA's solar energetic particle data and SDO imagery links to give context to active space weather events.
ESA's Space Weather Service Network contributes supplementary geomagnetic index data from European ground stations. The ESA Swarm constellation β three satellites in polar orbit β provides real-time magnetic field measurements that complement NOAA's ground-based network.
Cloud cover forecasts are sourced from national meteorological services including the Norwegian Meteorological Institute (Met.no), the UK Met Office, and NOAA's GFS model. We overlay cloud probability with geomagnetic activity to calculate a composite aurora viewing score for each location.
OpenWeatherMap provides location-specific current weather conditions and 5-day hourly forecasts for each aurora destination. We use OWM data to display temperature, cloud cover percentage, and wind speed on location pages β helping you plan both aurora chasing and travel logistics in one place.
Auroras.live provides supplementary real-time aurora probability data, offering an additional data point alongside NOAA's KP-based forecasts. Cross-referencing multiple independent probability sources helps reduce false positives and gives a more reliable composite viewing score.
From satellite measurement to your screen, this is the data pipeline that powers every forecast on PolarForecast.