Global hydrological modelling

The University of Southampton is contributing to the FutureDAMS project by providing expertise in large-scale hydrological modeling and prediction, to deliver driving data (primarily streamflow) to the integrated simulator framework for the case studies. This will build on our existing capability in global hydrological modeling and integration with diverse sources of observational data.

We will develop hydrological predictions for current and future climates, drawing from existing and new in-situ, satellite-based and climate model data, and using and developing improved methods for downscaling, bias correction and calibration. These predictions will be evaluated in the context of hazard risk (droughts and floods), its spatial expression across the case studies including upstream/downstream connections, and used to understand how we can provide flexible and scalable risk assessments in data-scarce regions.

Key Staff:

Professor Justin Sheffield – Justin’s research is centred on large-scale hydrology and its interactions with climate variability and change. He has published extensively on hydrological extremes, climate change, and hydrological processes from catchment to global scale, and on the application of fundamental research to natural hazards impacts reduction, and water and food security particularly in developing regions, including monitoring and prediction systems

Dr Solomon Gebrechorkos – research fellow with a research background in Hydro-Climate Modeling and Science; working on local to large scale hydrological modelling, climate variability and change, and high-resolution climate projections for/and impact assessment studies at regional and local scale particularly in developing countries such as East Africa.

Research update video

This video was produced for the FutureDAMS annual forum (November 2020) as a summary of the team’s current research progress.