Recent  

Several tons of meteoric particles burn up in our atmosphere each day. This deposits a great deal of material that bids with other atmospheric particles and forms so-called Meteoric Smoke Particles. These particles are assumed to influence radar measurements. Here we have compared radar measurements with simulations of a radar spectrum with and without dust particles and found that dust influences the radar spectrum in the altitude range of 75–85 km.

In-situ observations are crucial for understanding the interplanetary dust, yet not every spacecraft has a dedicated dust detector. Dust encounters happen at great speeds, leading to high energy density at impact, leading to ionization and charge release, which is detected with electrical antennas. Our work focused on understanding how the transient charge plume interacts with Solar Orbiter spacecraft. Our findings are relevant for design of future experiments and understanding of present data.

Scientists are studying the mesosphere and lower thermosphere using radar in Northern Norway. They found peculiar events with strong upward and downward air movements, happening frequently (up to 2.5 % per month) from 2015 to 2021. Over 700 such events were noted, lasting around 20 minutes and expanding the studied layer. 17 % of these events had extreme vertical speeds, showing their unique nature.

This paper gives an overview of continuous measurements of PMSE made with VHF radars at Andøya (69° N) and at Davis (69° S). PMSE signal strengths are of the same order of magnitude but significantly less PMSE was observed in the southern hemisphere than in the northern hemisphere. Compared to Andøya, the PMSE season over Davis starts about 7 days later and ends 8 days earlier, PMSE occur less frequently but with greater variability in seasonal and diurnal occurrence reaching higher peak altitude.

This article investigates certain anomalies in the ionosphere of Mars known as density depletions. It uses in-situ measurements of plasma conditions taken by the MAVEN spacecraft around Mars. The statistical analysis of events shed light into the generation mechanism of these structures.

The Tonga volcano explosion launched a rich assortment of disturbances in the solid Earth, ocean, entire atmosphere, and the ionosphere and magnetosphere. Statistical and spectral analysis of the measurements made at 19 INTERMAGNET recording stations closest to the volcano shows that the quasi-periodic disturbances were transported by fast and slow magnetohydrodynamic waves, blast wave, atmospheric gravity wave, and Lamb wave; the parameters of geomagnetic bay disturbances have also estimated.

In this work, we use the solar radiation flux F10.7 data from 1959–2019 and build a deep temporal convolutional network (TCN) prediction model based on deep learning. The results show that the TCN model effectively improves the prediction accuracy of F10.7 radiation flux especially for 2 and 3 days ahead. The TCN model has stronger predictive capability than other classical models, in solar cycle 24.

We use computed tomography to reconstruct the three-dimensional distributions of the Hall and Pedersen conductivities of pulsating auroras, a key research target for understanding the magnetosphere–ionosphere coupling process. It is suggested that the high-energy electron precipitation associated with pulsating auroras may have a greater impact on the closure of field-aligned currents in the ionosphere than has been previously reported.