AI-based seasonal weather and river flow scenarios can improve flood risk assessment
Research published in NHESS has found that artificial intelligence can be used to help improve fluvial flood risk assessment.
Journal paper
Sensitivity analysis to improve how uncertainty is understood and managed in complex flood risk models: case studies in the River Rhine, Central Europe, and Queensland, Australia
Research into improving how uncertainty is understood and managed in complex flood risk models provides new insights into which uncertainties matter most, and practical approaches to analysis.
Predicting shoreline change using deep learning methods
Tharindu Manamperi shares his latest research to help predict shoreline change using deep learning methods
Statistical techniques for estimating directional ocean waves
Published research by Jake Grainger explores statistical techniques that better utilise ocean buoy data to help characterise the ocean wavefield.
The temporal clustering of storm surge, wave height and high sea level exceedances around the UK coastline
Luke Jenkins publishes research in ‘Natural Hazards’ that provides evidence for the prevalence of consecutive storms, big waves or high tide events occurring over a short period of time (known as clustering) around the UK.
VedgeSat: An automated, open-source toolkit for coastal change monitoring using satellite-derived vegetation edges
Freya Muir publishes her research in ‘Earth Surface Processes and Landforms’ as well as an open-source tool for mapping coastal change, known as VedgeSat.
How effective are leaky dams at reducing the downstream flood peak?
Two papers published in the Journal of Hydrology explore how to quantify the impacts of natural flood management (NFM), specifically leaky dams in upland catchments, on the downstream flood peak magnitude.
Characteristics of ‘abrupt wave front’ floods
New research explores events in northern England where river water levels rise very rapidly and are extremely hazardous to river users.
UK Flood Hydrology Roadmap
The flood hydrology roadmap sets out a vision to help scientists and practitioners across the UK better predict future flood events and improve flood resilience across the UK.
Improving forecast flood maps using earth observation data
In this article, we explore the importance of earth observation (EO) data for identifying flood extents and how a new method for validating flood maps enables a quantitative, location specific measure of flood map accuracy
