• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Lost Signal: How Solar Activity Silenced Earth's Radiation

Lost Signal: How Solar Activity Silenced Earth's Radiation

© iStock

Researchers from HSE University and the Space Research Institute of the Russian Academy of Sciences analysed seven years of data from the ERG (Arase) satellite and, for the first time, provided a detailed description of a new type of radio emission from near-Earth space—the hectometric continuum, first discovered in 2017. The researchers found that this radiation appears a few hours after sunset and disappears one to three hours after sunrise. It was most frequently observed during the summer months and less often in spring and autumn. However, by mid-2022, when the Sun entered a phase of increased activity, the radiation had completely vanished—though the scientists believe the signal may reappear in the future. The study has been published in the Journal of Geophysical Research: Space Physics.

The Earth constantly emits radio waves—natural electromagnetic signals that occur in near-Earth space. Analysing these emissions helps scientists better understand how the Sun influences the magnetosphere, the region surrounding our planet where the magnetic field protects it from external forces.

Various types of radio emissions originate from within this region, one of which is the hectometric continuum (HMC), a narrowband natural radiation in the range of 600–1700 kHz—significantly lower than the broadcast frequencies of conventional radio stations. The sources of this radiation are located relatively close to Earth, at altitudes of about one to two Earth radii, where the magnetic field still governs the motion of charged particles. Such waves cannot be detected from the Earth's surface, as the dense layers of the ionosphere completely absorb them. Therefore, the HMC can only be observed with the help of spacecraft. For this reason, the hectometric continuum was discovered relatively recently—in 2017—by the Japanese ERG (Arase) satellite. Since then, the signal has been recorded only sporadically, and a complete picture of its behaviour has yet to be established.

To characterise the properties of the HMC and uncover the mechanism behind its occurrence, researchers from the Space Research Institute of the Russian Academy of Sciences and the HSE Faculty of Physics compiled all available satellite data to examine how this radiation evolved over time. To accomplish this, the scientists analysed about a thousand HMC observations collected between 2017 and 2023.

The results showed that the appearance of the signal is linked to processes occurring in the near-Earth plasma—a region filled with charged particles that move under the influence of Earth’s magnetic field and the solar wind. According to the authors, the hectometric continuum arises from a phenomenon known as double plasma resonance, in which two types of oscillations in the plasma coincide: the plasma’s natural oscillations and the rotation of electrons around Earth’s magnetic field lines. This resonance creates an instability that causes the plasma to emit radio waves. Such emission requires specific conditions—a certain plasma density and the presence of high-energy, or 'hot,' electrons.

Example of hectometric continuum (HMC) radiation recorded by the ERG (Arase) satellite on September 26, 2019. The top panel shows how the intensity of the radio signal varied across the 100–2000 kHz range. The horizontal bands between 850 and 1750 kHz correspond to the HMC. Three short bursts at frequencies between 300 and 700 kHz represent auroral kilometric radiation (AKR), which occurs in the polar regions during periods of magnetic disturbance. The lower panel shows variations in a parameter related to the polarisation of the radio signal, calculated from electric field measurements taken by the satellite. The HMC radiation exhibits left-hand polarisation (red–orange areas), while the AKR displays right-hand polarisation (blue areas). The differences in polarisation and frequency make it possible to reliably distinguish between these two types of radio emissions within Earth’s magnetosphere.
© Dorofeev, D. & Chernyshov, A. & Mogilevsky, M. & Chugunin, Dmitry. (2025). Hectometric Continuum Radiation Observations on Different Temporal Scales in Near‐Earth Space. Journal of Geophysical Research: Space Physics. 130. 10.1029/2025JA033900.

The researchers found that the radiation occurs only at night and disappears one to three hours after sunrise. They explain this by noting that morning solar radiation increases the plasma density, disrupting the conditions necessary for radio wave generation. Similarly, the signal does not appear immediately after sunset but only a few hours later, once the ionosphere has cooled and restored the conditions required to excite the HMC.

In addition to the daily cycle, the radiation exhibits seasonal variations: it was observed more frequently in summer and less often in spring and autumn. Since mid-2022, the signal has disappeared. The scientists attribute this to the Sun entering a more active phase, during which its surface showed more sunspots, radio emissions at a wavelength of 10.7 cm increased, and ultraviolet radiation levels rose. These changes altered the structure of the plasma, eliminating the conditions necessary for HMC generation.

Alexander Chernyshov

'Interestingly, unlike other radio signals that are amplified during bursts of solar activity—such as auroral kilometric radiation associated with auroras—the hectometric continuum, in contrast, diminishes. Therefore, we expect that it may reappear in a few years, when solar activity declines,' comments Alexander Chernyshov, Associate Professor at the Joint Department of Space Physics with the Space Research Institute (RAS).

The study not only contributes to a better understanding of Earth’s magnetosphere but also opens the possibility of testing whether similar radio emissions occur on exoplanets. Such emissions could indicate the presence of a planetary magnetic field, an important factor for preserving an atmosphere and, potentially, supporting the existence of life.

See also:

AI Users Earn Up to 41.8% More Than Non-Users

Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.

Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence

A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings

Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.

When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas

Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.

HSE Researchers Present Study on Neural Network Robustness in Video Analysis at ChinaMM 2026

Researchers from HSE University presented a study at the international ChinaMM 2026 conference on how video transmission distortions affect the performance of neural networks. The authors proposed a new approach to testing the robustness of such models under conditions that closely resemble the real-world use of video services.

HSE University to Develop Predictive Analytics System for Icebreaker Motors

Industrial automation is one of the key applications of artificial intelligence. A predictive analytics system for large electric motors is among the solutions being developed for the industry as part of HSE University’s Strategic Technological Project ‘Multi-Agent Platform of AI Solutions for Industry-Specific Tasks.’ What is predictive analytics, how can it improve the operation of electric motors, and what specialists joined forces to develop this technology? Anton Zarubin, Dean of the School of Computer Science, Physics, and Technology at HSE University–St Petersburg and the project development coordinator, explains in this interview with the HSE News Service.

Scientific Expedition to Hainan: HSE Scientists Organise Conference on Statistical AI in China

The Statistical AI Conference was held in Sanya, Hainan Island, China, from 24 to 28 August 2026. The international event brought together leading experts in statistics, machine learning, and applied AI. Alexey Naumov, Director of the AI and Digital Science Institute at the HSE Faculty of Computer Science, and Sergey Samsonov, Head of the International Laboratory of Stochastic Algorithms and High-Dimensional Inference, were among the conference organisers.

How to Assess Students’ Knowledge in the Age of AI

A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.

5th Fall into ML Conference to Bring Together Leading AI Researchers

The AI and Digital Science Institute at the HSE Faculty of Computer Science invites researchers, developers and everyone shaping the future of technology to the fifth, anniversary edition of the Fall into Machine Learning conference (Fall into ML 2026). The event will take place on October 23–24, 2026, at the HSE Cultural Centre in Moscow and will become the key meeting point for Russia’s AI community.

HSE University to Present Its Projects at the International Youth Festival

The International Youth Festival (IYF) will be held in Yekaterinburg from 11 to 17 September 2026. HSE University will take an active part in the event. The university's booth will present a space settlement mock-up, robots, and the iFORA big data analysis system. Fifty HSE students will visit festival venues, and experts will participate in the business programme.