Dr Linda Speight

Linda Speight is a hydrometeorologist whose research seeks to develop early warning systems to improve disaster risk management, particularly for flooding. She is interested in global flood forecasting, surface water flood forecasting, ensemble forecasts, impact-based forecasts, risk communication, decision making and climate resilience.

Linda joined the University of Oxford in 2021, moving from the University of Reading where she was a postdoctoral researcher. Prior to returning to academia, Linda was a Senior Scientist at the Scottish Environment Protection Agency (SEPA) where she was involved in operational flood forecasting and led the scientific development of the Scottish Flood Forecasting Service. Linda has a BSc from the University of Bristol (2005) and an MSc from Newcastle University (2006). Her PhD research, completed at the Newcastle University in 2013, sought to develop a methodology for understanding dependencies in flood risk exposure in the UK with a focus on the insurance sector. Linda has also held associate lecturing positions at the University of Lincoln and the University of Portsmouth. She started her career as a flood risk analyst at JBA Consulting.

Working at the interface between research and practice, Linda regularly works with partners including the Environment Agency and Scottish Environment Protection Agency (SEPA), European Centre for Medium-range Weather Forecasts (ECMWF), UK Met Office, UK Foreign Commonwealth & Development Office (FCDO) and the Red Cross Climate Centre. Linda is an Editor for the Journal of Flood Risk Management and an affiliate of the UCL Warning Research Centre. She is a member of HEPEX, the British Hydrological Society and the Royal Meteorological Society. Linda is currently the Chair of the UK Flood Hydrology Roadmap Science and Technical Advisory Group reflecting her commitment to ensuring hydrological expertise is used to build societies that are prepared for flooding in a changing climate. She also holds government and consultancy advisory positions.

Linda is involved in interdisciplinary research improving the operational use of risk-based flood forecasting science. Her research falls under the following main topics.

Surface water flood forecasting

Linda has had a long involvement in the development of surface water flood forecasting capabilities in the UK. She played a central role in developing a surface water forecasting system for the 2014 Commonwealth Games in Glasgow. The system combined probabilistic numerical weather prediction with hydrological modelling and flood risk and impact assessment. The project was subsequently awarded the Royal Meteorological Society Innovation Prize in 2018.

At the University of Reading she carried out a policy and practice review of the NERC funded Flooding from Intense Rainfall (FFIR) programme, interviewing subject matter experts to bring together the technical developments and identify recommendations for changes in policy, practice and further research for flood forecasting.

Linda has recently published a review paper on operational and emerging capabilities in surface water flood forecasting and continues to be involved in the development of surface water flood forecasting systems. She is currently working with the University of Leeds and the Met Office/Flood Forecasting Centre to develop and test new methods for regional SWF forecasting.

Global flood forecasting

Exploring the application of global forecasts to support anticipatory response, Linda works with partners, such as the Red Cross Climate Centre, to strengthen forecast-based humanitarian action in advance of major events. At the University of Reading Linda worked on the NERC/FCDO funded FATHUM project. One of Linda's key roles was the development and provision of real time flood bulletins to the UK Government Foreign, Commonwealth and Development Office (FCDO) to support humanitarian response to major tropical cyclones.

Climate resilience

Linda's research seeks to demonstrate the value of forecasting and warning as one tool (amongst many) to improve resilience to extreme weather events. She recently published a briefing report on the projected impacts of climate change on flood risk in the UK. During the exceptional flooding across Europe in 2021, Linda provided expert commentary to UK and international media, articulating the need for continued international investment in flood forecasting systems.

Water quality

Linda is PI on a John Fell Fund project “Rivers, Rainfall, People and Poo” (R2P2) that seeks to improve the integration of hydrological knowledge and data into current debates on water quality in UK rivers. She is also co-supervising a PhD student working on forecasting bathing water quality.

Undergraduate

Linda is the physical geography tutor at Hertford College. Linda and her colleagues are responsible for teaching students across the entire breadth of geographical topics for the Preliminary Examination and Final Honour School of Geography.

In the School of Geography and the Environment, Linda leads the FHS Option 'Climate Change Impacts and Adaptation' and co-leads the “Geographic Data Science” and “Hydrology in a Changing Climate” options.

Postgraduate

Linda leads on the 'Climate and Catchment Processes' module on the MSc in Water Science, Policy and Management (WSPM).

Linda is the Climate and Earth theme lead for the Oxford ILESLA doctoral training programme.

Linda welcomes enquiries from individuals wishing to undertake research across the themes of flood risk, flood forecasting, forecast based action and climate resilience.

Current Graduate Research Students

Yousaf, N., Seenath, A., and Speight, L (2025) On framing flood risk communications through maps: effects on the real-estate market. Applied Geography. 178. https://doi.org/10.1016/j.apgeog.2025.103574

Hawker, L., Trigg, M.A., Kruczkiewicz, A., Bernhofen, M., Katsi, L., Paterson, R., Speight, L., Van Den Hoek, J., and Balfour, N. (2024) Data, guidelines and ethics for managing flood risk when people are already forcibly displaced. Environmental Research Letters. 20(1). https://doi.org/10.1088/1748-9326/ad9e06

Maybee, B., Birch, C. E., Böing, S. J., Willis, T., Speight, L., Porson, A. N., Pilling, C., Shelton, K. L., and Trigg, M. A. (2024) FOREWARNS: development and multifaceted verification of enhanced regional-scale surface water flood forecasts, Nat. Hazards Earth Syst. Sci., 24, 1415–1436, https://doi.org/10.5194/nhess-24-1415-2024

Macholl, J.D., Roberts, H., Steptoe, H., Sun, S., Angus, M., Davenport, C., Luscombe, W., Rolker, H.B., Pope, E.C. ., Dawkins, L.C., Munday, G., Giles, D., Lam, T., Deutloff, J., Champion, A.J., Bloomfield, H.C., Mendes, J., Speight, L., Bradshaw, C.D. and Wyatt, F. (2024), A collaborative hackathon to investigate climate change and extreme weather impacts in justice and insurance settings. Weather, 79: 196-203. https://doi.org/10.1002/wea.4560

Krupska, K. U., Speight, L., Robinson, J. S., Gilbert, A. J., & Cloke, H. (2024). Forecasting bathing water quality in the UK: A critical review. WIREs Water, e1718. https://doi.org/10.1002/wat2.1718

Hossain, S., Cloke, H. L., Ficchì, A., Gupta, H., Speight, L., Hassan, A., & Stephens, E. M. (2023). A decision-led evaluation approach for flood forecasting system developments: An application to the Global Flood Awareness System in Bangladesh. Journal of Flood Risk Management, e12959. https://doi.org/10.1111/jfr3.12959

Speight, L., Stephens. E., Hawker, L., Baugh, C., Neal. J., Cloke, H., Grey, G., Titley, H., Marsden, K., Sumner, T., Ficchi, A., Prudhomme, C., Archer, L., Bazo, J., Dambo, J. Dolan, S., Huhn, A. L., Moschini, F., Savage, J., Smith, A., Towner, J., Wanzala, M. (2023) Recommendations to improve the interpretation of global flood forecasts to support international humanitarian operations for tropical cyclones. Journal of Flood Risk Management. https://doi.org/10.1111/jfr3.12952

Slater, L., Arnal, L., Boucher, M.-A., Chang, A. Y.-Y., Moulds, S., Murphy, C., Nearing, G., Shalev, G., Shen, C., Speight, L., Villarini, G., Wilby, R. L., Wood, A., and Zappa, M. (2023) Hybrid forecasting: blending climate predictions with AI models, Hydrol. Earth Syst. Sci.27, 1865-1889. https://doi.org/10.5194/hess-27-1865-2023

Budimir, M., Sneddon, A., Nelder, I., Brown, S., Amy Donovan, A., and Speight, L. (2022). Development of forecast information for institutional decision-makers: landslides in India and cyclones in Mozambique. Geosci. Commun., 5, 151–175. https://doi.org/10.5194/gc-5-151-2022

Speight, L. and Krupska, K. Understanding the impact of climate change on flood risk in the UK. (2021) Weather, 76: 330-331. https://doi.org/10.1002/wea.4079

Speight, L., Cranston, D., White, C., Kelly, L. (2021). Operational and emerging capabilities for surface water flood forecasting. WIREs Water, e1517. doi.org/10.1002/wat2.1517

Emerton, R., Cloke, H., Ficchì, A., Hawker, L., de Wit, S., Speight, L., Prudhomme, C., Rundell, P., West, R., Neal, J., Cuna, J., Harrigan, S., Titley, H., Magnusson, L., Pappenberger, F., Klingaman, N., Stephens, E. (2020). Emergency flood bulletins for Cyclones Idai and Kenneth: A critical evaluation of the use of global flood forecasts for international humanitarian preparedness and response. International Journal of Disaster Risk Reduction, 50. doi:10.1016/j.ijdrr.2020.101811

Flack, D.L.A., Skinner, C.J., Hawkness-Smith, L., O’Donnell, G., Thompson, R.J., Waller, J.A., Chen, A.S., Moloney, J., Largeron, C., Xia, X., Blenkinsop, S., Champion, A.J., Perks, M.T., Quinn, N., and Speight, L.J. (2019). Recommendations for Improving Integration in National End-to-End Flood Forecasting Systems: An Overview of the FFIR (Flooding from Intense Rainfall) Programme. Water 11(4), 725. doi: 10.3390/w11040725

Speight, L. Crawford, K., Haddelsey, S. (2018). Towards measures of longitudinal learning gain in UK higher education: the challenge of meaningful engagement. Higher Education Pedagogies, 3:1, 196-218, doi: 10.1080/23752696.2018.1476827

Speight, L., Cole, S., Moore, R., Pierce, C., Wright, B., Golding, B., Cranston, M., Tavendale, A., Dhondia, J. and Ghimire, S. (2018). Developing surface water flood forecasting capabilities in Scotland: an operational pilot for the 2014 Commonwealth Games in Glasgow. J Flood Risk Management, 11: S884-S901. doi:10.1111/jfr3.12281

Speight, L., Hall, J. and Kilsby, C. (2017). Multi‐scale framework for flood risk analysis. J Flood Risk Management, 10: 124-137. doi:10.1111/jfr3.12175

Dawson, R.J., Speight, L., Hall, J. W., Djordjevic, S., Savic, D. and Leandro J. (2008). Attribution of flood risk in urban areas. Journal of Hydroinformatics, 10 (4): 275–288. doi: 10.2166/hydro.2008.054