M. Bernhofen

TL;DR: To avoid a massive build-up of plastic in the environment, coordinated global action is urgently needed to reduce plastic consumption; increase rates of reuse, waste collection, and recycling; expand safe disposal systems; and accelerate innovation in the plastic value chain.

TL;DR: In this paper, the authors introduce the first collective validation of multiple global flood models against the same events and analyse how different model structures influence performance, and evaluate the flood extent output provided by six GFMs against satellite observations of historical flood extents.

TL;DR: In this article, the authors calculate flood exposure to different sized rivers using a model-independent geomorphological river flood susceptibility map (RFSM) and show that limits placed on the size of river represented in global flood models result in global exposure estimates that differ by more than a factor of 2.

TL;DR: In this paper , the authors evaluate the usefulness of global data for assessing flood risk in five countries: Colombia, England, Ethiopia, India, and Malaysia, and find that the data sets differ substantially at the national level, and this is reflected in the national flood risk estimates.

TL;DR: In this paper , the authors evaluate the usefulness of global data for assessing flood risk in five countries: Colombia, England, Ethiopia, India, and Malaysia, and find that the data sets differ substantially at the national level, and this is reflected in the national flood risk estimates.