Professional summary

Rosanna (Rosie) Lane has been a hydrological modeller at UKCEH since January 2020. Her research has primarily focused on national scale hydrological modelling, in particular looking at the impact of climate change for UK river flows, floods and droughts.

Rosie obtained a MSci in Geography from the University of Bristol in 2015, during which she specialised in hydrology, spatial statistics and environmental modelling. She then studied hydroinformatics at the University of Exeter for a year as part of the WISE CDT programme, before starting doctoral research at the University of Bristol. Her PhD research explored national modelling of UK river flows for climate change impact analysis. This included evaluating the capability of lumped models to simulate river flows across Great Britain, setting up a parameterisation scheme to create national parameter fields for a spatially distributed hydrological model, and exploring the uncertainties involved in future river flow projections.  

Since starting at UKCEH, Rosie has been involved in a range of projects. These include analysing climate change impacts on UK floods and low flows as part of UK-SCAPE; exploring potential evapotranspiration inputs for hydrological modelling within Hydro-JULES; exploring potential future hydrological extremes within CANARI; and acting as the National River Flow Archive representative for Northeast England. 

Other Publications

Lane, R. A., Coxon, G., Freer, J., Seibert, J., & Wagener, T. (2022). A large-sample investigation into uncertain climate change impacts on high flows across Great Britain. Hydrology and Earth System Sciences26(21), 5535-5554.

Lane, Rosanna A., Gemma Coxon, Jim E. Freer, Thorsten Wagener, Penny J. Johnes, John P. Bloomfield, Sheila Greene, Christopher JA Macleod, and Sim M. Reaney. "Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain." Hydrology and Earth System Sciences 23, no. 10 (2019): 4011-4032.