Dr Andrew Barkwith

Dr Andrew Barkwith

Numerical Modeller

Location: Keyworth

Tel: 0115 936 3175

E-mail Dr Andrew Barkwith


  •  2009 – ongoing : BGS Numerical Modeller
  •  2004 –2009 : Salford University, PhD, Atmospheric Dynamics
  •  2000 –2004 : University of Manchester, MEarthSci


  • Climate Change Impacts
  • Earth Systems Modelling
  • Programming
  • Subsurface Flow

Research interests

  • Atmospheric Science
  • Climate Change
  • Groundwater Science
  • Landscape Evolution

Current projects and collaboration

  • Coastal Evolution - Investigating the influences of oceanic and climatic variables on shaping soft sediment coastlines using the Coastal Evolution Model (CEM). The model initially developed by Murray and colleagues at Duke University, USA, simulates shoreline development in response to deep-water wave climates. The model can also accommodate variable substrate hardness and distributed coastal erosion rates enabling simulation of coastline evolution when sediment is supplied from an eroding shoreface. A framework was created to enable ensemble modelling of wave climate and other initialising parameters, factors which are likely to vary with climate change. This project is currently focused on the spiral natured Holderness coastline, Lincs, UK.
  • Decadal scale landscape evolution modelling - The CLiDE environmental modelling platform is a geomorphological simulator that allows a variety of Earth systems, and their interactions, to be explored. The platform includes a variety of modules, representing key terrestrial Earth system components, which may be switched on/off as required. This versatility allows CLiDE to explore a variety of scenarios at a range of timescales. CLiDE may be used to further our understanding of a particular system or to simulate the impacts of changing driving conditions on terrestrial systems. The latter is particularly relevant to the current, unprecedented, rapidly changing environment we are now experiencing.
  • NAO - Through this joint project with the University of Exeter we attempt to better understand the role of the North Atlantic Oscillation (NAO) in driving climatic variability during the Late Holocene by quantifying the nature and strength of the long-term relationship between the NAO and storminess over Europe.

Professional association

Published outputs

Key papers

Beaubien, S.E., Jones, D.G., Gal, F., Barkwith, A., Braibant, G., Baubron, J.-C., Ciotoli, G., Graziani, S., Lister, T.R., Lombardi, S., Michel, K., Quattrocchi, F., Strutt, M.H. 2013. Monitoring of near-surface gas geochemistry at the Weyburn, Canada, CO2-EOR site, 2001–2011. International Journal of Greenhouse Gas Control. 10.1016/j.ijggc.2013.01.013

Barkwith, A., Hurst, M.D., Thomas, C.W., Ellis, M.A., Limber, P.W., and Murray, A.B., 2013b. Assessing the influence of sea walls on the coastal vulnerability of a pinned, soft-cliff, sandy coastline. Earth Surface Dynamics Discussion 1, 1127-1149.

Barkwith, A., Thomas, C.W., Limber, P.W., Ellis, M.A., and Murray, A.B., 2013. Assessing the natural morphological sensitivity of a pinned, soft-cliff, sandy coast to a changing wave climate. Earth Surface Dynamics Discussion 1, 855-889.

Bricker, S. H., Barkwith, A., MacDonald, A. M., Hughes, A. G., and Smith, M. 2012. Effects of CO2 injection on shallow groundwater resources: A hypothetical case study in the Sherwood Sandstone aquifer, UK. International Journal of Greenhouse Gas Control, 11, 337-348.

Prudhomme, C., Haxton, T., Crooks, S., Jackson, C., Barkwith, A., Williamson, J., Kelvin, J., Mackay, J., Wang, L., Young, A., and Watts, G. 2012. Future Flows Hydrology: an ensemble of daily river flow and monthly groundwater levels for use for climate change impact assessment across Great Britain, Earth System Science Data, 5, 101-107.

Barkwith, A, and Collier, C. 2011. Lidar observations of flow variability over complex terrain. Meteorological Applications, 18 (3), 372–382.

Mansour, M.M.; Barkwith, A.; Hughes, A.G. 2011. A simple overland flow calculation method for distributed groundwater recharge models.Hydrological Processes, 25 (22). 3462-3471. 10.1002/hyp.8074

Research partners
  • Brad Murray, Duke University
  • Pat Limber, University of Florida
  • Tom Couthard, University of Hull