Dr Louise J. Slater
Visiting Fellow in River Science
2017-: Lecturer in Physical Geography, Loughborough University
2015-2016: Postdoctoral Scholar, IIHR-Hydroscience & Engineering, University of Iowa
2014-2015: Lecturer in Physical Geography, Queen Mary University of London
2017-20: Editor, Hydrology and Earth System Sciences
2017-20: Outreach Secretary, British Society for Geomorphology (Executive Committee)
2014-16: Appointed member of the Environment Agency’s Data Advisory Group (EADAG), UK
2017: NERC/ESRC/DFID Grant (CI). ‘Financial planning for natural disasters: flood risk in Central Java’
2017: SSPGS Seedcorn, Loughborough University, ‘On the predictability of hydrological extremes using satellite data’
2017: Institute for Advanced Studies, Loughborough University, Open Programme
2017: British Hydrological Society Small Grant
2015: Early Career Researcher Grant, British Society for Geomorphology, ‘To what extent have changes in river channel capacity contributed to flood hazard trends in England and Wales?’
2015: The Institute of Mathematics and its Applications (IMA) Small Grant
2011: National Center for Airborne Laser Mapping (NCALM), National Science Foundation, USA, ’Where do floodplains begin in fluvial networks?’
Key Interests: river science, floods, hydro-climatology, climate, data science, big data, fluvial geomorphology, statistics.
My research focuses on understanding and predicting changes in floods and fluvial systems in the context of contemporary shifts in climate, agricultural practices and urbanisation. My approach is statistical and computational; I use a combination of climatic and land cover information to disentangle the different drivers of flooding and fluvial change across a variety of climates and land use types. Using Earth Observation and ensemble Global Climate Model outputs I also develop probabilistic streamflow forecasts over a range of timescales to assess how floods and fluvial systems may change over time. I have a keen interest in data science and in developing new, interdisciplinary methods for understanding and projecting fluvial and hydro-climatic change.
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.
Slater, L.J., Villarini, G. (2017) Evaluating the drivers of seasonal streamflow rates in the U.S. Midwest, Water (MDPI). 9, 695; doi:10.3390/w9090695
Slater, L.J., Wilby, R.L. (2017) Measuring the changing pulse of rivers (Perspective article), Science, 357(6351), pp. 552, doi:10.1126/science.aao2441
Zhang, W., Villarini, G., Slater, L.J., Vecchi, G., Bradley, A.A. (2017) Improved ENSO Forecasting using Bayesian Updating and the North American Multi Model Ensemble (NMME), Journal of Climate, ISSN: 1520-0442. doi:10.1175/JCLI-D-17-0073.1
Slater, L.J., Villarini, G., Bradley, A.A. (2017) Weighting of NMME temperature and precipitation forecasts across Europe, Journal of Hydrology, doi:10.1016/j.jhydrol.2017.07.029
Slater, L.J., Villarini, G., Bradley, A., Vecchi G. (2017) A dynamical statistical framework for seasonal streamflow forecasting in an agricultural watershed, Climate Dynamics. doi:10.1007/s00382-017-3794-7
Clubb, F.J., Mudd, S.M., Milodowski, D.T, Valters, D.A, Slater, L.J., Hurst, M.D., and Limaye, A.B.S. (2017) Geomorphic delineation of floodplains and terraces from slope and channel relief thresholds, Earth Surface Dynamics, 5(3), pp.369-385. doi:10.5194/esurf-2017-21.
Villarini, G., Slater, L.J. (2017) Climatology of flooding in the United States, Oxford Research Encyclopedia of Natural Hazard Science. doi:10.1093/acrefore/9780199389407.013.123
Wilby, R.L., Clifford, N.J., De Luca, P., Harrigan, S., Hillier, J.K., Hodgkins, R., Johnson, M.F., Matthews, T.K.R., Murphy, C., Noone, S.J., Parry, S., Prudhomme, C., Rice, S.P., Slater, L.J., Smith, K.A., Wood, P.J. (2017) The “dirty dozen” of freshwater science: Detecting then reconciling hydrological data biases and errors, Wiley Interdisciplinary Reviews (WIREs) Water. doi:10.1002/wat2.1209
Slater, L.J., Villarini, G. (2016) On the impact of gaps on trend detection in extreme streamflow time series, International Journal of Climatology. doi:10.1002/joc.4954.
Slater, L.J., Villarini, G., 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, special collection on the North American Multi-Model Ensemble (NMME) seasonal prediction experiment. doi:10.1007/s00382-016-3286-1
Slater L.J. (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), pp.1115-1128, Special Issue Stormy Geomorphology, doi:10.1002/esp.3927
Slater, L.J., Singer, M.B., Kirchner J.W. (2015) Hydrologic versus geomorphic drivers of trends in flood hazard, Geophysical Research Letters, 42(2), pp.370-376, doi:10.1002/2014GL062482.
Clubb, F.J., Mudd S.M., Milodowski D.T., Hurst M.D., Slater L.J. (2014) Objective extraction of channel heads from high resolution topographic data, Water Resources Research. 50(5), pp.4283-4304. doi:10.1002/2013WR015167.
Slater, L. J. and Singer, M.B. (2013) Imprint of climate and climate change in alluvial riverbeds: Continental United States, 1950-2011, Geology, 41(5), pp.595-598, doi:10.1130/G34070.1 University of St Andrews Press Release