Two new NERC-funded PhD positions starting in 2018 are available with me and colleagues at Loughborough University, as part of the CENTA Doctoral Training Programme.
Applications for 2018 entry are now live. Further details on how to apply can be found here. Please see the links above for further details. The application deadline is 22 January 2018.
On October 12th, I will be giving a talk at Maynooth university on ‘Disentangling streamflow drivers and forecasting water hazards using Earth Observation’ (details here).
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)
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 on dynamical statistical forecasting of seasonal streamflow has just been published in Climate Dynamics!
See the paper here and the associated EGU poster here.
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
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.
On this website you will find a series of pages with News on my current research (below), Publications, Outreach and Media activities, Conference talks, and a short CV.
Our Geophysical Research Letters paper on Recent trends in US flood risk has been featured as a Research Spotlight on Eos
The University of Iowa’s Press Release has been picked up by multiple press outlets (incl. NSF’s Science360, Daily Mail, National Geographic, Earth, UPI, BeforeItsNews, PhysOrg, Newswise & others)