Mapping the ionosphere with millions of phones

The ionosphere is a layer of weakly ionized plasma bathed in Earth’s geomagnetic field extending about 50–1,500 kilometres above Earth 1 . The ionospheric total electron content varies in response to Earth’s space environment, interfering with Global Satellite Navigation System (GNSS) signals, resul...

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Veröffentlicht in:Nature (London) 2024-11, Vol.635 (8038), p.365-369
Hauptverfasser: Smith, Jamie, Kast, Anton, Geraschenko, Anton, Morton, Y. Jade, Brenner, Michael P., van Diggelen, Frank, Williams, Brian P.
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Sprache:eng
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Zusammenfassung:The ionosphere is a layer of weakly ionized plasma bathed in Earth’s geomagnetic field extending about 50–1,500 kilometres above Earth 1 . The ionospheric total electron content varies in response to Earth’s space environment, interfering with Global Satellite Navigation System (GNSS) signals, resulting in one of the largest sources of error for position, navigation and timing services 2 . Networks of high-quality ground-based GNSS stations provide maps of ionospheric total electron content to correct these errors, but large spatiotemporal gaps in data from these stations mean that these maps may contain errors 3 . Here we demonstrate that a distributed network of noisy sensors—in the form of millions of Android phones—can fill in many of these gaps and double the measurement coverage, providing an accurate picture of the ionosphere in areas of the world underserved by conventional infrastructure. Using smartphone measurements, we resolve features such as plasma bubbles over India and South America, solar-storm-enhanced density over North America and a mid-latitude ionospheric trough over Europe. We also show that the resulting ionosphere maps can improve location accuracy, which is our primary aim. This work demonstrates the potential of using a large distributed network of smartphones as a powerful scientific instrument for monitoring Earth. Data from millions of smartphones are used to map the ionosphere in greater detail, leading to improved smartphone location accuracy, particularly in parts of the world with few monitoring stations.
ISSN:0028-0836
1476-4687
1476-4687
DOI:10.1038/s41586-024-08072-x