About SunGeo.net

The Schumann Resonance

The Schumann Resonance is a set of extremely low frequency (ELF) electromagnetic resonances that exist in the cavity between Earth's surface and its ionosphere. The fundamental frequency rests near 7.83 Hz — a value so close to the human brain's alpha rhythm that researchers have studied the two in parallel for decades.

Lightning strikes — roughly 100 per second worldwide — continuously excite this planetary cavity, producing a standing electromagnetic wave that encircles the globe. The phenomenon was predicted theoretically by physicist Winfried Otto Schumann in 1952 and confirmed experimentally in 1954. Since then it has been studied as a natural background signal for geophysics, atmospheric science, and human biology research.

Our Data Source

Our data comes from the Space Observing System operated by researchers at Tomsk State University in Siberia, Russia. The system has been publishing live Schumann Resonance spectrograms at sosrff.tsu.ru and related domains for many years.

The Tomsk site sits at a geographic location well-suited for ELF monitoring — far from major industrial electromagnetic noise sources, with good sensitivity to global lightning activity. The spectrogram images they publish encode frequency, amplitude, and time into a visual format that can be read both by human observers and by machine vision systems.

How It Works

1. 1

   Hourly image fetch

   Every hour, our scraper downloads the latest spectrogram image from the Tomsk monitoring station and stores a hash to detect when the image changes.

2. 2

   AI vision analysis

   When a new image is detected, it is sent to a vision AI model (via OpenRouter) for spectrogram analysis. The model reads amplitude bands, frequency deviations, and spectral patterns.

3. 3

   Human-readable interpretation

   The raw AI analysis is translated into one of four states — Calm, Elevated, Active, or Storm — along with a numeric score from 0 to 100 and a plain-language summary in three languages.

4. 4

   Published to the site

   Results are stored in a database and displayed on the home page and dashboard. Historical data builds over time, enabling trend analysis and weekly pattern recognition.