Risks of solar storms may be underestimated, warn researchers
The effects of extreme space weather may be larger than previously thought, research in the journal Nature reveals.
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- Focus: The effects of extreme space weather may be larger than previously thought, research in the journal Nature reveals
- Detail: Science reporting: verify primary technical documentation
- Editorial reading: science reporting; whenever possible, verify the cited primary source.
The effects of extreme space weather may be larger than previously thought, research in the journal Nature reveals. The paper, titled "Regression to the mean can explain saturation of geomagnetic storms," is led by Dr. The science-journalism coverage adds useful context, while the strongest evidential footing still comes from the underlying data, papers or institutional documentation.
It is relevant because Earth science becomes stronger when local observations can be placed inside a broader physical pattern that spans time and geography. The planet operates as a coupled system in which atmospheric, oceanic, cryospheric and solid-Earth processes interact across timescales from days to millions of years. A measurement that captures one variable at one location and one moment has limited interpretive value until it is embedded in the longer series and wider spatial coverage that allow natural variability to be separated from forced change. Nithin Sivadas NASA Goddard Space Flight Center The effects of extreme space weather may be larger than previously thought, research in the journal Nature reveals. Space weather, caused by fluctuating electric fields in Earth's magnetic field and upper atmosphere, can affect technologies on and around Earth in several ways.
For decades, scientists have thought there is an upper limit to how Earth responds to solar storms. Electric currents in Earth's upper atmosphere are widely understood to reach an upper limit as solar wind strength increases.
But new research suggests the upper limit is an illusion resulting from uncertainty in measurements of solar wind strength, as the true value regresses toward the mean. There are, however, extreme cases where satellites unexpectedly fall back to Earth, or we lose communication and GPS signals.
Observations have suggested that as the solar wind strengthens, electric currents in Earth's upper atmosphere, which can affect satellites, communications and navigation signals. They claim the issue is that most solar wind measurements of extreme events are taken by spacecraft at Lagrange point 1, which is a million miles (1.
The broader interest lies in linking the observation to climatic, geophysical or environmental dynamics that extend well beyond the immediate event or location. Earth science is unusual in that its most important questions operate on timescales that no single research career can observe directly, making the archival record, whether in ice, sediment, rock or satellite data, as important as any new measurement. Results that can be embedded in that record, and that either confirm or challenge the patterns it reveals, carry disproportionate scientific weight.
Averaging observations from many events makes it look like strong solar winds do not produce equally strong currents because, on average, weaker solar winds arrive at Earth. The team found evidence from more than a million solar wind measurements taken by Earth-orbiting NASA spacecraft very close to our planet.
Because this item comes through Phys. org Space as science journalism, it should be treated as contextual reporting rather than primary evidence. Good science reporting can identify why a result matters, connect it to the wider literature and make technical work readable, but the decisive evidence remains in the original paper, dataset, mission release or technical record. That distinction is especially important when a story is later repeated by aggregators, because repetition increases visibility, not evidential strength.
The next step is to place the result inside longer time series and to compare it with independent instruments and independent sites. Earth system observations gain most of their interpretive power from network density and temporal depth, not from any single measurement however precise. Model simulations that assimilate the new data will help clarify whether the observation fits comfortably within known natural variability or represents a shift that existing models do not reproduce.
Original source: Phys. org Space