I am a Lecturer at Loughborough University and 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 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.
Two papers accepted this month:
Slater, L.J., Villarini, G. (2017) Evaluating the drivers of seasonal streamflow rates in the U.S. Midwest, Water (MDPI). Open Access. PDF.
Villarini, G., Slater, L.J. (In press) Examination of Changes in Annual Maximum Gage Height in the Continental United States Using Quantile Regression, Journal of Hydrologic Engineering (ASCE)
Delighted to have been appointed to the British Society for Geomorphology‘s Executive Committee as Outreach Secretary.
Our paper has just been accepted in Journal of Climate (American Meteorological Society)!
Zhang, W., Villarini, G., Slater, L., Vecchi, G.A., Bradley, A.A. (2017), Improved ENSO Forecasting using Bayesian Updating and the North American Multi Model Ensemble (NMME), Journal of Climate
Our paper titled ‘Weighting of NMME temperature and precipitation forecasts across Europe‘ has just been accepted in Journal of Hydrology
It is open-access here until Sept 12th!
Slater, L.J., Villarini, G., Bradley, A.A. (2017) Weighting of NMME temperature and precipitation forecasts across Europe, Journal of Hydrology,
Our paper on dynamical statistical forecasting of seasonal streamflow has just been published in Climate Dynamics!
Slater, L.J., Villarini, G., Bradley, A., Vecchi G. (in press) A dynamical statistical framework for seasonal streamflow forecasting in an agricultural watershed, Climate Dynamics. doi:10.1007/s00382-017-3794-7
See here for an updated list of seminars (Hull, Maynooth, New Orleans, Durham..)
- On Monday 22nd May we are hosting a Water Research Day at Loughborough University, as part of the Water@Lboro initiative.
- On Wednesday 21st June I will be visiting the European Centre for Medium-Range Weather Forecasts (ECMWF) to talk about global statistical forecasting
- On Thursday 16th November I will be visiting Oxford to give a talk on Fluvial geomorphology and flood risk management for Oxford Water Network‘s Michaelmas term seminar series