News and announcements

Review says capital needs new reservoir, better flood defences and ‘heat plan’ for vulnerable people

Researchers have proposed deep learning models that predict droughts using climate data. Long-term forecasts of this kind are sought by agricultural producers planning their operations, by insurance companies and banks evaluating climate risks.

Ten years of data preceding a rockfall in the French Alps suggest the need for more comprehensive monitoring systems.

To better predict long-term flooding risk, scientists at the Department of Energy's Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape.

Scientists from The University of Manchester, The University of Aberdeen and Newcastle University have found that the restoration of upland peatlands is a highly effective strategy for reducing downstream flooding.

Disaster, as per the standard mantra, comes from hazard and vulnerability combining. Hazard is not a disaster by itself, because sometimes a hazard ends up as a disaster and sometimes it does not. The different outcomes emerge from vulnerability.

Billions of francs have since been spent on beefing up flood defences. More money is being poured into solutions, including a CHF1 billion pledge to protect the Rhine Valley between Switzerland and Austria over the next three decades.

After a particularly gruelling day delivering packages in 90 degrees Fahrenheit (32 degrees Celsius) outside of Philadelphia, Amazon delivery driver Randy woke up feeling off, checked the weather, and decided he didn't feel safe going into work.