Thanks to the advent of exascale computing, local climate forecasts may soon be a reality. And they’re not just for scientists anymore.
A new special collection invites papers pertaining to the use of machine learning techniques in all sub-fields of heliophysics.
As solar max approaches, new tech is on call.
The loss cone of energetic particles in the Earth’s inner magnetosphere is substantially modified during disturbed times, with important implications for the radiation-belt and ring current modeling.
A cacophony of magma displacements and volcanic gases recorded underneath Kīlauea’s roiling lake of lava could one day provide information to help predict future eruptions.
Applying new technology rooted in quantum mechanics and relativity to terrestrial and space geodesy will sharpen our understanding of how the planet responds to natural and human-induced changes.
Observations reveal a connection between auroral particle precipitation and scintillation, indicating that the ionospheric E-region is a key source region for phase scintillation at auroral latitudes.
Scientists seek to understand the elusive properties of stellar and galactic cosmic rays before searching for life on exoplanets.
Spatial clustering of aftershocks explains why simple statistical models often outperform complex physics‐based earthquake forecasting models even if the physical mechanisms are correctly modeled.
When plasma particle velocity distributions have multiple, distinct parts, treating each as a separate beam may yield more intuitive results.