Research briefs

A radical shift in policy is needed to manage energy use and reduce cooling demand.

The key to cooling ‘urban heat islands’ may lie in the countryside, according to a new study from scientists at the University of Surrey's Global Centre for Clean Air Research (GCARE) and Southeast University (China).

A new tool developed by researchers in the University of Maryland’s (UMD) Department of Mechanical Engineering could help provide ships and offshore platforms with early warning of unusually large and unpredictable waves.

A new scientific mechanism for assessing the potential risk to worldwide mineral commodity supplies from seismic activity has been developed by USGS scientists.

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.