Dynamic Bayesian Networks Quantify Railway Resilience Under Extreme Weather
A dynamic Bayesian network framework applied to a real-world rail system quantifies resilience under short-term and long-term extreme weather disruptions...
Lucy Donovan is a Scienmag editorial specialist profile for Extreme Weather coverage.
A dynamic Bayesian network framework applied to a real-world rail system quantifies resilience under short-term and long-term extreme weather disruptions...
A retrospective study of Spain’s 2025 Jarilla wildfire found that extreme atmospheric drying and continuous, water-stressed fuel drove widespread high...
Researchers identified F1 onion hybrids that outperform their parents by up to 105 percent in bulb yield under the heat...
A preregistered study with real carbon emissions and objective weather records shows that political affiliation, not physical exposure to extreme...
A new International IDEA and Electoral Integrity Project report finds that elections in 39 countries faced widespread pressures in 2025,...
An open-source European tool called RHITA now detects and tracks heatwaves, cold spells, heavy rain and strong winds in real...
A two-year University of Georgia field study published in Risk Analysis shows that poultry litter-based soil amendments and extreme weather...
Beneath every step we take, soils hold one of the planet's largest reservoirs of carbon, a vast, slow-moving bank of...
Northern Australia covers more than half of the Australian continent yet holds barely five percent of its population, and the...
PULLMAN, Wash. — As hurricanes intensify, wildfires spread, floods overwhelm infrastructure and heat waves strain electricity demand, power utilities face...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine