Modern machine learning and AI methods can help heliophysics researchers and space weather forecasters overcome limitations from a dearth of observations and the infrequency of extreme events.
space weather (hazard)
7 Decades of Books Leave a Lasting Legacy
Authors and Editors reflect on the lasting impacts of their books in honor of the AGU Books Program’s 70th anniversary.
Taking the Pulse of Atmospheric Drag to Predict Satellite Trajectory
Scientists present a new method for estimating the density of the upper atmosphere to account for atmospheric drag when predicting satellite trajectory.
A Next-Generation Telescope for Space Weather Research
The Meridian Project Phase II IPS telescope, featuring a novel dual-band phased array feed and AI-powered calibration, sets a new global benchmark for sensitivity in monitoring solar wind disturbances.
Linking Space Weather and Atmospheric Changes With Cosmic Rays
Water-Cherenkov cosmic-ray detectors can be used as a tool for monitoring and studying changes in the lower stratosphere over Antarctica.
From Measurements to Solar Wind Model Initial Conditions
A new method shows how solar wind measurements at Earth can be used to define initial conditions for solar wind models to reduce their need for solar magnetic maps and decrease their uncertainty.
Space Weather Monitoring from Commercial Satellite Mega-Constellations
Enabling unprecedented monitoring of key electric current systems in low-Earth orbit using commercial satellite mega-constellations advances space weather monitoring.
New 3D Model Reveals Geophysical Structures Beneath Britain
Using magnetotelluric data to identify subsurface electrically conductive and resistive areas, scientists can identify underground features and predict how space weather may affect infrastructure.
Magnetic “Switchback” Detected near Earth for First Time
Until recently, this type of zigzag shape—formed by energetic rearrangement of magnetic field lines—had been seen only near the Sun.
