Results from nine microgravity campaigns from Kı̄lauea, Hawaiʻi, spanning most of the volcano's 2008–2018 summit eruption, indicate persistent mass accumulation at shallow levels. A weighted least squares approach is used to recover microgravity results from a network of benchmarks around Kı̄lauea's summit, eliminate instrumental drift, and restore suspected data tares. A total mass of 1.9 × 1011 kg was determined from these microgravity campaigns to have accumulated below Kı̄lauea Caldera during 2009–2015 at an estimated depth of 1.3 km below sea level. Only a fraction of this mass is reflected in surface deformation, and this is consistent with previously reported discrepancies between subsurface mass accumulation and observed surface deformation. The discrepancy, amongst other independent evidence from gas emissions, seismicity, and continuous gravimetry, indicate densification of magma in the reservoirs below the volcano summit. This densification may have been driven by degassing through the summit vent. It is hypothesized that during the final years of the summit eruption, magma densification resulted in a buildup of pressure in the reservoirs that may have contributed to the lower East Rift Zone outbreak of 2018. The observed mass accumulation beneath Kı̄lauea could not have been detected through other techniques and illustrates the importance of microgravity measurements in volcano monitoring.@en

In August 2021, Askja volcano in Iceland returned to the spotlight after a sudden onset of rapid uplift followed decades of continuous subsidence. In this study the extended record of microgravity data from Askja between 1988 to 2017 is revisited, and new microgravity data from 2021 and 2022 are introduced, which were collected after the uplift had started. Askja caldera had been steadily subsiding since at least 1984 and was characterised by a net decrease in microgravity, potentially signalling the contraction of its magma chamber or eviction of magma either laterally or to deeper levels. The microgravity data indicate that despite ongoing subsidence between 2017 and early 2021, a significant gravity increase can be detected in the center of the caldera between 2017 and August 2021. This increase may be introduced during – or leading up to – the period of uplift. The new microgravity data also indicate that during the period of 40 cm uplift after August 2021 to fall 2022, gravity changes approach the free-air gradient, suggesting subsurface density decreases as a driving process. This process may relate to the vesiculation of magma previously emplaced in the volcano roots, a change in the hydrothermal system, or replacement of dense basaltic magma with less dense rhyolitic magma, or a combination of these processes. However, uncertainties for this period are elevated and may obscure a gravity signal expected from additional mass accumulation. The timing and high uncertainties of some campaigns make it challenging to be conclusive on the driving process behind the uplift, but future microgravity campaigns could help solve the ambiguity. The study also provides a description of potential pitfalls in microgravity campaigns and recommendations on how the reliability of microgravity data can be improved.@en

In August 2021 Askja caldera in Iceland started to show uplift after decades of subsidence. The uplift signal is centered at the northwestern edge of lake Ӧskjuvatn and an order of magnitude larger than the subsidence in the last decade. In September 2021 a geodesy campaign was carried out at Askja, including relative microgravity measurements acquired with the use of two Scintrex CG-5 instruments. Relative microgravity campaigns at Askja are not straightforward due to the long walking distances between sites, which makes a “double loop” procedure impossible. We revisit existing Scintrex relative microgravity data sets (2015 onward) and analyse data using the same joint weighted least squares inversion routine. We define recommendations for future relative microgravity campaigns at Askja which will be important to establish the cause of the ongoing uplift. The density of subsurface magma is only identifiable with microgravity data. Knowledge of the type of magma accumulating under Askja is vital to assess possible hazard implications.@en

Human activity causes vibrations that propagate into the ground as high-frequency seismic waves. Measures tomitigate the coronavirus disease 2019 (COVID-19) pandemic caused widespread changes in human activity,leading to a months-long reduction in seismic noise of up to 50%. The 2020 seismic noise quiet period is thelongest and most prominent global anthropogenic seismicnoise reduction on record. Although the reduction isstrongestatsurfaceseismometersinpopulatedareas, this seismic quiescence extends for many kilometersradially and hundreds of meters in depth. This quiet period provides an opportunity to detect subtle signalsfrom subsurface seismic sources that would have been concealed in noisier times and to benchmark sources ofanthropogenic noise. A strong correlation between seismic noise and independent measurements of humanmobility suggests that seismology provides an absolute, real-time estimate of human activities.@en

Human activity causes vibrations that propagate into the ground as high-frequency seismic waves. Measures tomitigate the coronavirus disease 2019 (COVID-19) pandemic caused widespread changes in human activity,leading to a months-long reduction in seismic noise of up to 50%. The 2020 seismic noise quiet period is thelongest and most prominent global anthropogenic seismicnoise reduction on record. Although the reduction isstrongestatsurfaceseismometersinpopulatedareas, this seismic quiescence extends for many kilometersradially and hundreds of meters in depth. This quiet period provides an opportunity to detect subtle signalsfrom subsurface seismic sources that would have been concealed in noisier times and to benchmark sources ofanthropogenic noise. A strong correlation between seismic noise and independent measurements of humanmobility suggests that seismology provides an absolute, real-time estimate of human activities.@en