As climate conditions change, tree species are shifting their ranges. Wildfire is accelerating this process, likely by reducing competition from established species – a finding that raises questions about how to manage land in an era of shifting ecosystems.
A deep learning approach to classifying buildings with wildfire damage may help responders focus their recovery efforts and offer more immediate information to displaced residents.
The most devastating tornadoes are often preceded by a cloudy plume of ice and water vapor billowing above a severe thunderstorm. New research reveals the mechanism for these plumes could be tied to “hydraulic jumps” – a phenomenon Leonardo Da Vinci observed more than 500 years ago.
Interviews with Northern California residents reveal that social norms and social support are essential for understanding protective health behaviors during wildfire smoke events – information that could be leveraged to improve public health outcomes.
Western states are once again in severe drought with water in short supply. And California’s fire season is starting earlier and causing more devastation. Buzz Thompson, one of the country’s leading water law experts, discusses California’s wildfires, drought, water and climate change.
New technologies that detect motion in the Earth’s crust are emerging in surprising places and reshaping our understanding of earthquakes.
Smoke from wildfires may have contributed to thousands of additional premature births in California between 2007 and 2012. The findings underscore the value of reducing the risk of big, extreme wildfires and suggest pregnant people should avoid very smoky air.
A new machine learning approach helps scientists understand why extreme precipitation days in the Midwest are becoming more frequent. It could also help scientists better predict how these and other extreme weather events will change in the future.
California may be headed for another record-breaking wildfire season. Stanford researchers discuss the shift in federal, state and local approaches necessary to turn the tide of destruction.
A new analysis of the 2018 collapse of Kīlauea volcano’s caldera helps to confirm the reigning scientific paradigm for how friction works on earthquake faults. The model quantifies the conditions necessary to initiate the kind of caldera collapse that sustains big, damaging eruptions of basaltic volcanoes like Kīlauea and could help to inform forecasting and mitigation.
A new method for seeing through ice sheets using radio signals from the sun could enable cheap, low-power and widespread monitoring of ice sheet evolution and contribution to sea-level rise.
Researchers examined the number of households unable to pay for damages from coastal flooding to reveal how sea-level rise could threaten the fabric of Bay Area communities over the next 40 years.
Warnings of another severe wildfire season abound, as do efforts to reduce the risk of ignition. Yet few are taking precautions against the smoke. Stanford experts advise on contending with hazardous air quality.
Because foreshocks precede larger quakes, they have long presented the tantalizing prospect of warning of potentially damaging earthquakes. But to date, they have only been recognized in hindsight, and scientists for decades have sought to understand the physical processes that drive them. Computer modeling by Stanford geophysicists finds answers in the complex geometry of faults.
Disruptions from sea level rise and coastal flooding events have significant indirect impacts on urban traffic networks and road safety.
April 2021 saw a 20-year high in the number of people stopped at the U.S./Mexico border, and President Joe Biden recently raised the cap on annual refugee admissions. Stanford researchers discuss how climate change’s effect on migration will change, how we can prepare for the impacts and what kind of policies could help alleviate the issue.
Stanford scientists simulated the local risk of damaging or nuisance-level shaking caused by hydraulic fracturing across the Eagle Ford shale formation in Texas. The results could inform a new approach to managing human-caused earthquakes.
Analysis of sales data and flood risk data over two decades indicates that housing markets fail to fully account for information about flood risk. The findings suggest that policies to improve risk communication could influence market outcomes.
A deep neural network developed at Stanford and trained on more than 36,000 earthquakes offers a new way to quickly predict earthquake shaking intensity and issue early warnings of strong shaking.