The latest in a series of papers by David Archer and colleagues at JBA and Newcastle University, this paper explores a type of flood that can pose a danger to life and improvements that could be made to monitoring, flood estimation and forecasting.

This research explores how and why to include physical variables as covariates in statistical models of flood frequency. It also develops and illustrates methods for extracting flow estimates from such models so that practitioners can obtain useful results.

JBA authors contributed to this work led by Newcastle University. The research details Important findings about rainfall profiles used for design of drainage infrastructure, flood defences and dams.

This paper explores the influence of how climate change pathway assumptions effect the economic appraisal and prioritisation of flood projects. We focus on flood hydrology assumptions and use anonymised case studies to demonstrate the possible effects. The paper shows how hydrology has a strong influence on economic appraisal with climate change.

A proof-of-concept study that enables practitioners to derive climate change allowances for the full distribution of floods (as opposed to single return periods).

This article has taken a distributed modelling approach to examine the potential for hillslope storage bunds as a natural flood management (NFM) strategy to mitigate the effects of downstream flooding if deployed extensively in the 209 km² River Kent catchment in Cumbria (UK).