Thanks to the advent of exascale computing, local climate forecasts may soon be a reality. And they’re not just for scientists anymore.
physics
Machine Learning Helps to Solve Problems in Heliophysics
A new special collection invites papers pertaining to the use of machine learning techniques in all sub-fields of heliophysics.
Modification of Energetic Particles Loss Cone During Storms
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.
Volcanic Lava Lake Belts Out Its Secrets in Seismic “Songs”
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.
Lasers and Ultracold Atoms for a Changing Earth
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.
The Auroral E-region is a Source for Ionospheric Scintillation
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.
Taking Stock of Cosmic Rays in the Solar System
Scientists seek to understand the elusive properties of stellar and galactic cosmic rays before searching for life on exoplanets.
The Failure of Physics-Based Earthquake Forecasting Models
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.
A New Approach to Characterizing Space Plasmas
When plasma particle velocity distributions have multiple, distinct parts, treating each as a separate beam may yield more intuitive results.