Dr Louise J. Slater
2017- : Lecturer in Physical Geography, Loughborough University.
2015-2016: Postdoctoral Research Scholar, IIHR-Hydroscience & Engineering, University of Iowa.
2014-2015: Lecturer in Physical Geography, Queen Mary University of London
Prizes and awards:
2015: Early Career Researcher Grant, British Society for Geomorphology for a project titled ‘To what extent have changes in river channel capacity contributed to flood hazard trends in England and Wales?’
2011: National Center for Airborne Laser Mapping (NCALM), Geosensing Systems Engineering, High resolution Airborne LiDAR data, National Science Foundation (NSF) $50,000 (in-kind)
Key Interests: floods, data science, forecasting, rivers, climate.
My research focusses on understanding and predicting changes in fluvial systems and extreme weather events in the context of contemporary shifts in climate change, agricultural practices and urbanization. My approach is strongly statistical and computational; I use a combination of geomorphic, hydrologic, climatic, and land cover information to disentangle the different drivers of fluvial change across a variety of climates and land use types. Using the most recent global climate model inputs I also develop probabilistic climate and streamflow forecasts over seasonal to decadal timescales to assess how fluvial systems may change. I have a keen interest in data science and in developing new, interdisciplinary methods for understanding and projecting fluvial and hydro-climatic change, particularly in relation to floods and droughts.
Prior to working at Loughborough University, I specialised in fluvial geomorphology at the Ecole Normale Supérieure in France and received my PhD in Earth and Environmental Sciences from the University of St Andrews in 2014. I lectured in Physical Geography at Queen Mary University of London for one year before conducting an 18-month postdoctoral scholarship in the field of hydro-climatology and data science at the IIHR-Hydroscience and Engineering, University of Iowa.
My teaching examines floods, river dynamics and fluvial morphology. My approach is principally data-driven with a focus on data science and new computational methods.
Slater LJ and Villarini G (2016) On the impact of gaps on trend detection in extreme streamflow time series International Journal of Climatology
Slater, LJ, Villarini G and Bradley A (2016) Evaluation of the skill of North-American Multi-Model Ensemble (NMME) Global Climate Models in predicting average and extreme precipitation and temperature over the continental USA. Climate Dynamics
Slater LJ (2016) To what extent have changes in channel capacity contributed to flood hazard trends in England and Wales? Earth Surface Processes and Landforms, 41(8), 1115–1128.
Slater, LJ, Singer, MB and Kirchner JW (2015) Hydrologic versus geomorphic drivers of trends in flood hazard, Geophysical Research Letters, 42(2), [Media attention: AGUniverse Publication Highlight; U. of St Andrews Press Release]
Clubb FJ, Mudd SM, Milodowski DT, Hurst MD and Slater LJ (2014) Objective extraction of channel heads from high resolution topographic data Water Resources Research, 50(5), 4283–4304
Slater LJ and Singer MB (2013) Imprint of climate and climate change in alluvial riverbeds: Continental United States, 1950-2011, Geology [Geological Society of America Press Release; University of St Andrews Press Release]