Lina Stein

Project: A global approach to robust flood estimates in ungauged catchments using hydrological process knowledge

Supervisors: Dr Ross Woods and Dr Francesca Pianosi


River flooding is a common hazard which causes severe damages to people and property. Appropriate flood protection measures greatly reduce the risk of flooding, however the scaling of designs relies heavily on long time series of streamflow data, which in many places is not available. The current methods for flood estimates in ungauged catchments often produce results that are highly uncertain and unsuitable for planning purposes. The aim of this work is therefore to develop a new robust approach for flood estimates in ungauged catchments. The idea is to employ the increasing amount of hydrological and remote sensing data available around the globe to yield a deeper understanding of hydrological processes causing floods in different regions. The consideration of these processes allows a more accurate transfer of information from gauged to ungauged catchments, thus improving the estimates. For this method to work, a global database of streamflow data as well as climate and catchment characteristics is currently being collected.


Lina is a PhD student in the Water and Environmental Engineering Group at Bristol University with a focus on data analysis and flood modelling.

Lina completed her undergrad in Environmental Science with a minor in Environmental Hydrology at Albert-Ludwigs Universität Freiburg in 2015. During this time she spent two semesters at the National University of Singapore, where she focused on natural hazards in South East Asia. Her experience from this period was applied during an internship at the German Society for International Development (GIZ) in the department for Water Policy and Infrastructure. In her undergrad thesis she modelled the water balance of a small catchment in the West Bank. It encouraged her to pursue an MSc in Hydrology at the Albert-Ludwigs Universität Freiburg, where she focused on hydrological modelling and data management as well as hydrological hazards. In her final thesis she successfully applied a recently developed solute transport model for the first time to a hydrological complex Karst catchment.

Research Interests

  • Hydrological modelling
  • Flood hazards
  • Hydroinformatics
  • Data management
  • Data visualisation 


2020 Industry Day Research Poster

2017 Summer School Research Presentation

2017 Summer School Research Poster