Most people know that weather affects how they feel. Fewer people know that space weather does too, and that the evidence for it is more substantial than most would expect.
This page covers what is actually known about how solar and geomagnetic conditions interact with biological systems, grounded in peer-reviewed research. The effects are ranked by how well-established they are.
Space weather refers to conditions driven by the Sun: solar wind, magnetic field fluctuations, radiation bursts, and geomagnetic storms. These aren't distant abstract phenomena. Earth's magnetic field is continuously shaped by them, and that field surrounds and penetrates everything on the surface.
The key metrics researchers track: the Kp index (a global measure of geomagnetic disturbance), the southward component of the interplanetary magnetic field (Bz), solar wind speed and pressure, and energetic particle flux from solar events.
Replicated across multiple independent studies with clear biological or physical mechanisms.
Tier 1 · ConfirmedThe most robust human evidence links geomagnetic disturbance to cardiovascular outcomes. A large study across 263 U.S. cities found that days with higher geomagnetic disturbance were associated with increased total mortality and cardiovascular mortality (Zilli Vieira et al., 2019). A separate study in the Normative Aging Study cohort found that geomagnetic disturbance was associated with reduced heart rate variability, a marker of autonomic nervous system function and cardiovascular resilience (Zilli Vieira et al., 2022). A 2025 study in Brazil found sex-stratified associations between geomagnetic disturbance and myocardial infarction (Rezende et al., 2025).
The proposed mechanism runs through the autonomic nervous system. Geomagnetic disturbance appears to shift the balance between sympathetic and parasympathetic activity, the same system that governs heart rate, stress response, blood pressure, and immune function.
On the technological side, the mechanisms are fully established. Geomagnetic storms drive electrical currents through the ground (geomagnetically induced currents, or GICs) that can overwhelm power grid infrastructure. The March 1989 storm knocked out power across Quebec for nine hours. Modern risk models for pipeline corrosion, satellite drag, and GPS positioning error all account for geomagnetic storm conditions as standard inputs.
Solar flares release intense X-ray bursts that ionize the upper atmosphere, disrupting HF radio communication and GPS signals within minutes. Airlines that route over polar regions monitor solar flare activity in real time and reroute when flares hit. This is operational, not theoretical.
Strong evidence or clear mechanisms, with some caveats.
Tier 2 · Well SupportedGalactic cosmic rays, high-energy particles from outside the solar system, reach Earth's surface continuously, modulated by the Sun's magnetic activity. During solar minimum, more get through. Laboratory research shows that high-energy particle exposure can cause DNA damage and misrepair signatures in human cells. This is most relevant for aircrew, frequent flyers, and astronauts, populations with measurably elevated cosmic ray exposure.
The F10.7 solar radio flux, a proxy for overall solar activity, is used in thermospheric and ionospheric models, satellite drag prediction, and long-term space weather forecasting. Higher solar activity correlates with elevated environmental electromagnetic conditions. The downstream biological implications at the population level are an active area of research.
The orientation of the interplanetary magnetic field, particularly its southward component (Bz), controls how much solar wind energy enters Earth's magnetosphere. Sustained southward Bz is the primary trigger for geomagnetic storms. The coupling mechanisms are fully understood at the physics level; the question for biology is how much of that energy transfer propagates to surface-level effects that matter for human physiology.
Mechanistically reasonable. Human outcome evidence is limited or indirect.
Tier 3 · PlausibleEarth periodically crosses the heliospheric current sheet, the boundary separating opposite magnetic polarities in the solar wind. Animals including birds and some mammals use the geomagnetic field for navigation, and there is laboratory evidence of light-sensitive radical pair reactions in cryptochrome proteins that are magnetically sensitive. Whether polarity transitions at the current sheet produce measurable effects in humans is not established. It is retained as a signal candidate in Chaerus because the mechanism is biologically plausible, not because the human evidence is there yet.
Multiple independent groups across multiple countries have found associations between geomagnetic conditions and human health outcomes. The effects are not dramatic for most healthy people on most days. The environment is not neutral.
Chaerus and Caemira are built on this foundation, tracking the conditions that the evidence says matter, without overclaiming what those conditions predict.
Selected references: Boteler (2019); Li et al. (2018); Maeda et al. (2012); Rezende et al. (2025); Toprani et al. (2024); Wiltschko & Wiltschko (2014); Zilli Vieira et al. (2019, 2022).
This reference covers the geomagnetic and solar metrics used in Chaerus and Caemira, organized by data source. Tier classifications indicate how well the biological or geophysical effects of each metric are established.
Source: NASA OMNI-2 / WDC Kyoto / NOAA SWPC
| Index | What it measures | Tier |
|---|---|---|
| Kp | Planetary geomagnetic disturbance index (0–9 scale). Global average of ground magnetometer deviations. Primary storm severity indicator. | T1 |
| Dst | Disturbance storm time index. Measures ring current intensity. Negative values indicate storm conditions; strongly negative = major storm. | T1 |
| AL | Auroral electrojet lower boundary. Measures westward electrojet current in the auroral zone. Tracked in the Chaerus pipeline. | T1 |
| AU | Auroral electrojet upper boundary. Measures eastward electrojet current in the auroral zone. | T1 |
| AE | Auroral electrojet range (AU − AL). Composite measure of total electrojet activity. Used to compute derived features PE_AE_norm and MLI_A. | T1 |
Source: NASA OMNI-2 / ACE / DSCOVR
| Parameter | What it measures | Tier |
|---|---|---|
| Bz | Southward component of the IMF. Primary driver of geomagnetic storms. Sustained negative Bz opens the magnetopause to solar wind energy. | T1 |
| Bt | Total IMF field strength. Context for Bz. A strongly negative Bz in a weak total field has less impact than in a strong field. | T2 |
| Bx, By | IMF x and y components. Retained as diagnostic. | T2 |
| Ey | Dawn-dusk electric field (solar wind speed × −Bz). Direct coupling efficiency metric. | T2 |
Source: NASA OMNI-2 / ACE / DSCOVR · NOAA SWPC (live)
| Parameter | What it measures | Tier |
|---|---|---|
| Speed | Solar wind bulk flow speed (km/s). Typical: 300–700 km/s. Drives dynamic pressure and amplifies Bz coupling. | T1 |
| Density | Solar wind proton number density (particles/cm³). Combined with speed to compute dynamic pressure. | T1 |
| Dynamic pressure | Ram pressure of the solar wind on the magnetopause (nPa). Compresses or expands the magnetosphere. | T1 |
Source: NOAA SWPC · NASA DONKI · GOES satellites
| Parameter | What it measures | Tier |
|---|---|---|
| F10.7 | Solar radio flux at 10.7 cm wavelength. Proxy for overall solar UV/EUV output and solar cycle phase. | T1 |
| X-ray flux | GOES satellite X-ray output. Flare classification: A, B, C, M, X (each class is 10× the previous). C-class and above can affect radio communications. | T1 |
| CME | Coronal mass ejection. Plasma and magnetic field eruption from the Sun. Takes 1–4 days to reach Earth. Primary cause of major geomagnetic storms. | T1 |
| Sunspot number | Daily count of sunspot groups. Tracks solar cycle phase (11-year cycle). | T1 |
Computed from NASA OMNI-2 data in the Chaerus pipeline
| Feature | Description |
|---|---|
| PE_AE_norm | Normalized AE prediction error. Derived Chaerus feature. |
| MLI_A | Derived AE structure index. Derived Chaerus feature. |
| AE_AR1_norm | Normalized AE autocorrelation. Derived Chaerus feature. |
| GEOQ composite | Composite geomagnetic quietude score. Derived Chaerus feature. |
Source: NASA JPL / Skyfield · computed on-device
| Parameter | Description |
|---|---|
| Planetary positions | Real-time heliocentric and geocentric positions of all major planets. Used for long-range pattern analysis in Chaerus. |
| HCS crossing | Heliospheric current sheet crossing, polarity transition in the solar wind. Tracked as a Tier 3 signal candidate. Not yet confirmed in human outcome research. |
Primary data sources: NASA OMNI-2 (omniweb.gsfc.nasa.gov) · NOAA SWPC (swpc.noaa.gov) · NASA DONKI (kauai.ccmc.gsfc.nasa.gov/DONKI) · NASA JPL via Skyfield. All sources are public and free to access.