Professional summary
Hadush Meresa is a senior hydrologist whose research focuses on extreme hydrological modelling, using surface observation, remote sensing and model data to characterise hydrological processes. His work particularly emphases on modelling extreme hydrological regimes influenced by climate variability and change, including floods and droughts. his research interests encompass flood estimation, flood forecasting and early warning, extreme climate risk modelling, and cascade uncertainty modelling. He is a member of the hydrological forecasting and digital systems group at UKCEH and has worked with a range of statistical, deterministic, and machine learning models on projects in the republic of Ireland, Norway, Poland, UK, China, and Ethiopia, in flood, drought, and climate change impact modelling.
Currently, Hadush is investing how amplified seasonal hydroclimatic extremes influence and changes in flood generation mechanisms using machine learning, hydrological modelling, and statistical techniques. He is also actively involved in the FEH, CANARI, Hydro JULES projects.