This study builds on existing research into the importance of retention times in Natural Flood Management to provide guidance on designing effective retention schemes. This includes the development of a spreadsheet tool for retention times.

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 report identifies resources and methodologies for safeguarding heritage sites against climate change impacts. Highlighting available tools, information gaps, and the need for accessible solutions tailored to diverse stakeholders. It underscores Historic England's critical role in leading resilience efforts by informing, assessing risks, and promoting collaboration and knowledge sharing within the heritage sector.

This study uses Sentinel-2 and UAV data to map plant fractional cover in coastal meadows. Combining vegetation indices with digital elevation models improves prediction accuracy, aiding in ecosystem management and conservation

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.

This paper provides a better understanding of which risks could benefit from a spatial perspective in CCRA4-IA. Although the impacts of climate change and the effectiveness of adaptation measures are geography dependent, the benefits of a risk assessment vary by risk. This is due to the nature of the risk, dataset availability and/or analytical capability.