Research
We work in collaboration with universities, non-profit organisations and industry to support research in water and climate resilience.
Rivers and Coasts
Much of our work concentrates on managing risks to people and the environment in river catchments and on coasts, including better understanding of flood risk, erosion and climate resilience
Explore our publications and resources for Rivers and Coasts.
Weather and Climate
We are involved in research that studies the science behind extreme weather, its impacts on people and the natural environment, and the risks or opportunities posed by climate change.
Explore our publications and resources for Weather and Climate.
Infrastructure
We support research that has a focus on the interaction between natural and engineered environments, especially risks to infrastructure from extreme weather conditions.
Explore our publications and resources for Infrastructure.
Risk Analysis
We are supporting research that applies concepts of risk as a way to make decisions about the environment in the face of uncertainties such as future climate change, development needs or knowledge limitations.
Explore our publications and resources for Risk Analysis.
Doctoral Research Programme
Through collaboration with universities across the UK, we are able to support research students in developing advanced skills and delivering high quality research and evidence that has both academic and practical impact.
You can learn more about the PhD students we are supporting and their research here.
Publications
We aim to make the outputs of all our research freely available and easily accessible.
You can access all publications and resources here or explore some of our peer-reviewed publications below.
Sensitivity analysis to improve how uncertainty is managed in complex flood risk models
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’s research published in the journal ‘Coastal Engineering’ found that deep learning techniques have the potential to reliably predict shoreline change.
Quantifying the natural flood management potential of leaky dams in upland catchments
Zora van Leeuwen’s research, published in the Journal of Hydrology, explored the effectiveness of leaky dams at reducing the downstream flood peak.
