Pyroclastic density currents (PDCs) are a major threat during an explosive volcanic eruption. A new study shows that loose tephra accumulations on volcanic slopes tend to re-mobilize rapidly.
Journal of Geophysical Research: Solid Earth
Time-Step Filtering in Holocene Global Magnetic Field Models
Through a local fixed time-step filter, global Holocene magnetic field models remain mathematically tractable refining our insight into field variability and improving archeological dating.
Mesurer les oscillations d’un lac de lave depuis l’espace
Les images satellite permettent de mesurer les oscillations du lac de lave du Nyiragongo (RD Congo). Ces mesures renseignent sur la dynamique du volcan et aident à anticiper ses éruptions futures.
Tracking Lava Lake Levels at an African Volcano from Space
Satellite data from Nyiragongo Volcano, Democratic Republic of Congo, track changes in summit-crater lava levels that provide a window into eruption dynamics and aid in forecasting future activity.
Probabilistic Tomography Delivers Answers to Basic Questions
Fundamental questions on subsurface properties are robustly addressed through probabilistic assessment of multiple forward/inverse modelling formalisms using interrogation theory.
The Lost Topography Around Continental Rifts
Numerical models provide quantitative constraints on topography lost to erosion, showing how the sediment influx in a sedimentary basin reflects its tectonic and topographic evolution.
卫星激光揭示地球水运动的变化
GRACE-FO卫星上基于激光的仪器可以扩展到其他地球物理应用,用来收集地球系统中月内时间尺度上的质量变化的数据。
A Step Towards Understanding the Magnetic Properties in Hematite
Scientists present the most comprehensive available magnetic domain state and anisotropy study for synthetic and natural hematite from first-order reversal curve diagrams.
Adjoint Tomography Illuminates Hikurangi Margin Complexity
Waveform inversion of regional earthquakes reveals velocity anomalies interpreted as subducting seamounts that control an enigmatic segmentation in plate coupling along the Hikurangi margin.
Testing a Machine Learning Approach to Geophysical Inversion
Variational autoencoders can be leveraged to provide an effective method of inversion that is both accurate and computationally efficient.
