The statistical evidence from 21 years of data suggests that a solar eclipse may trigger a geomagnetic substorm, which is a disturbance in the Earth’s magnetosphere and ionosphere.
Editors’ Highlights
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Using Machine Learning to Reconstruct Cloud-Obscured Dust Plumes
Satellite-observed dust plumes from North Africa are frequently obscured by clouds, but a new study uses machine learning to reconstruct dust patterns, demonstrating a new way to validate dust forecasts.
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A Dust-Up Over Dust Measurements
Dust has significant impacts on the environment, climate, air quality, and human health, yet dust events are underestimated and therefore do not receive the level of attention necessary.
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Deep Learning Tackles Deep Uncertainty
A new method based on artificial intelligence could help accelerate projections of polar ice melt and future sea level rise.
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New Tracers of Wind Erosion Provide Insight into Dryland Vegetation
Rare earth element tracers provide insight into how fire and wind transport influence the vegetation state of the world’s drylands.
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Measuring Link Between the Chemistry and Physics of the Atmosphere
A new study sheds light on the coupling between the chemical composition and the physical properties of the atmosphere.
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Compound Extreme Events Threaten Marine Ecosystems
Short-term extreme marine heat wave events superimposed on stressors from longer-term climate change produce compound extreme events that impact the Gulf of Alaska ecosystem.
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How Good a Recycler is the Himalaya?
Researchers use sediment recycling to their advantage to calculate how fast the hills at the front of the Himalaya are eroding based on the concentration of rare elements in river sands.
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Law and Order for Friction and Faults: One Law to Rule Them All
Faults are made of complex materials with complex behaviors, and having a single model that can predict these behaviors is an advance in understanding deformation and the earthquake cycle.
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Modeling Braided Rivers in Presence of Exotic Weeds and Dams
Numerical modeling can help with identifying the combined effects of weed growth, flood frequency, and magnitude on gravel bed rivers.