Environmental Statistics

Theme Overview

Activities under this theme include contributions of statistics & data science to applications in any area of environmental science and engineering, broadly interpreted; as well as methodological developments with potential applications in these fields. Much of the research within this theme is interdisciplinary and collaborative, with strong links to other environmental science groups within and beyond UCL including the UCL Met Office Academic partnership, Earthquake and People Interaction Centre (EPICentre), Centre for Biodiversity and Environment Research and the Department of Geography.

Name	Keywords
Richard Chandler (Theme Lead)	Climatology; hydrology; ecology; natural hazards; multimodel ensembles; space-time modelling; statistical downscaling; time series and trends; uncertainty analysis
Francois-Xavier Briol	Gaussian processes; inference for stochastic models; statistical emulators; Bayesian probabilistic numerical methods
Petros Dellaportas	Wind speed forecasting, wind turbine performance
Alex Donov	Environmental applications of copula theory
Jim Griffin	Bayesian nonparametric modelling and analysis of environmental DNA surveys
Serge Guillas	Gaussian processes, Uncertainty quantification (emulation, calibration) of complex computer models, functional data, time series
Ieva Kazlauskaite	Gaussian processes, uncertainty quantification, statistical emulation, glaciology
Robin Mitra	Bayesian methods, missing data
Owen Nicholas	Modelling and communicating biodiversity change
Paul Northrop	Modelling of extreme values; stochastic modelling of precipitation; multimodel ensembles; applications in hydrology and climatology
Emma Simpson	Extreme value analysis; copulas and dependence modelling; spatio-temporal modelling
Katerina Stavrianaki	Statistical seismology; stochastic modelling; seismic hazard and rock mechanics
Hilde Wilkinson-Herbots	Applications of probability, statistics and stochastic modelling to problems in genetics (including population genetics, evolutionary genetics, ecological genetics, forensic applications); epidemic models

2019-2023: Accelerating Global science In Tsunami HAzard and Risk analysis (AGITHAR). EU COST action, PI Serge Guillas (UK representative and Chair of Working group on Uncertainties).
2020-2022: Enabling The Use And Producing Improved Understanding Of EuroCORDEX Data Over The UK. £279K funding from Met Office, PI Richard Chandler.
2019-2022: Future Indonesian Tsunamis: Towards End-to-end Risk Quantification (FITTER). £433K funding from Lloyd's Tercentenary Research Foundation, Lighthill Risk Network and Lloyd’s Register Foundation (Alan Turing Institute), PI Serge Guillas.