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Dr John Keery

John Keery with Sam in Wiltshire

Profile summary

  • Other Visitor Type
  • Visiting Honary Associate
  • Faculty of Science, Technology, Engineering & Mathematics
  • john.keery

Professional biography

I am currently working as a postdoctoral research associate on the NERC-funded project “Response of Global Ocean Oxygenation to Early Cenozoic Climate Extremes (RESPIRE)”, within the Palaeoenvironmental Change Research Group.

While working as a software developer, I enrolled with the Open University, and after gaining my first degree, I returned to full-time education at Lancaster University to study modelling of environmental, hydrological and geophysical processes, initially at master’s level, and subsequently for my doctorate.

Qualifications

PhD, Geophysics, 2014, Lancaster University.

My PhD thesis was titled “Estimation of hydraulic properties of porous media from complex electrical measurements” which presented the results of 2-D and 3-D modelling of near-surface hydrogeophysical properties at laboratory and field scales, applying a novel and efficient computational statistical method developed in MATLAB.

MSc (Distinction), Environmental Modelling and Forecasting, 2005, Lancaster University.

My MSc specialised in hydrology, with extensive fieldwork at a lowland river, and I completed a dissertation on the measurement and modelling of groundwater/surface water interactions, with computer analysis of temperature time series, using software which I developed in C++ and MATLAB.

BSc (Hons), 2002, Open University

Research interests

My current research on global warming events over 50 million years ago is intended to improve our understanding of the probable consequences of global warming in the present, using evidence from the past, particularly the expansion of ocean regions with lower oxygen levels.

I work with GENIE, an Earth system computer model of intermediate complexity (EMIC), which incorporates less detailed simulation of the dynamics of the oceans and atmosphere than general circulation models (GCMs), but which is sufficiently fast to allow modelling of climate change processes over very long periods of geological time, in a small number of days of computer run-time.  This speed permits a relatively large number, or "ensemble" of model simulations to be run, allowing statistical analysis of results to be carried out, providing insights into the confidence and uncertainties in model predictions.

I continue to take an interest in near-surface geophysics, and groundwater-surface water interactions.

Publications

The hydrogeologic information in cross-borehole complex conductivity data from an unconsolidated conglomeratic sedimentary aquifer (2016-11)
Binley, Andrew; Keery, John; Slater, Lee; Barrash, Warren and Cardiff, Mike
Geophysics, 81(6) (E409-E421)
Markov-chain Monte Carlo estimation of distributed Debye relaxations in spectral induced polarization (2012-03-06)
Keery, John; Binley, Andrew; Elshenawy, Ahmed and Clifford, Jeremy
Geophysics, 77(2) (E159-E170)
Temporal and spatial variability of groundwater–surface water fluxes: Development and application of an analytical method using temperature time series (2007-03)
Keery, John; Binley, Andrew; Crook, Nigel and Smith, Jonathan W.N.
Journal of Hydrology, 336(1-2) (pp. 1-16)

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