How Kp index, solar wind speed, Bz component, and X-ray flux combine into geomagnetic storm risk scores for high-latitude cities.
🧠 OPEN BRAIN DASHBOARD LIVEYour power grid just flickered. Across North America, transformers hummed strangely for 3 seconds. In orbit, a satellite's solar panels shifted angle. On the ground, a GPS-guided farm tractor drifted 12 meters off its row. None of these events made the news—but they all trace back to one invisible force: a geomagnetic storm building 93 million miles away.
Understanding how storms form is one thing. Predicting their intensity and damage footprint in real time is another entirely. That's why Pandita Data's Brain Dashboard fuses four solar-magnetospheric signals into a single risk score. Here's the physics behind the algorithm.
The Brain Dashboard doesn't predict whether a storm will happen—space weather agencies (NOAA, ESA) already do that. Instead, it computes impact severity by weighting four live parameters:
The interplanetary magnetic field (IMF) has multiple components. When Bz points south (negative), it opposes Earth's magnetic equator, creating a perfect topology for energy transfer. A southward Bz of −10 nanoTeslas can unlock 10× more magnetospheric energy release than a northward Bz. Brain Dashboard weights Bz at 20% because it's the coupling switch—Kp can spike even if wind speed is moderate, as long as Bz is severely negative.
Geomagnetic storms hit hardest at high latitudes (65°–75° N/S). Brain Dashboard applies a latitude-based multiplier to city-level risk scores. Alaska, Iceland, and Scandinavia see 3–5× higher transformer stress during Kp 7+ events. Equatorial regions experience minimal ground-level impacts but are vulnerable to satellite drag and GPS degradation.
A Kp 7 event (G3 storm) causes: