Dr Andrew Barkwith

Dr Andrew Barkwith

Numerical Modeller

Location: Keyworth

Tel: 0115 936 3175

E-mail Dr Andrew Barkwith

Biography

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

Skills

  • Climate Change Impacts
  • Earth Systems Modelling
  • HPC Modelling
  • Model Integration
  • Subsurface Flow

Research interests

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

Current projects and collaboration

  • Thames Observatory - The Thames catchment provides a unique opportunity to study the regional environment of a megacity cited within a larger rural catchment, at a number of scales. In addition, a regional scale Thames Observatory would allow a quantitative assessment of: the impact of human induced environmental change on these systems; the strength of any dynamic coupling between physical, human (including the built environment), biological and chemical processes; potential ‘tipping points’ in the system; and the sensitivity and consequences of modifying the state of the natural system. This project is taking the first steps towards building an integrated Thames Observatory by creating the technical infrastructure to deliver quasi-realtime data, modelling and research products in a range of formats.

  • 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 - 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. This year the project is focussed on the representation of physical anthropogenic processes on groundwater, surface water and sediment fluxes in landscape evolution models.

  • Past and Current Students (co-supervised)

    PhD
    Chloe Morris (PhD, current), University of Hull: Coast and Estuary: Modelling the future shape of the Holderness coast, Humber Estuary and Spurn point.

    Lisa Orme (PhD, 2014), University of Exeter: Reconstructions of Late Holocene storminess in Europe and the role of the North Atlantic Oscillation.

    MSc
    Wouter Lannoeye (MSc, current), University of Gent: Dynamics of gully erosion in Ethiopia.

    Dagmar Ewolds (MSc, current), University of Gent: Dynamics of gully erosion in Northern France.

    Hashim Alhawsawy (MSc, 2014), Cranfield University: Role of sediment distribution in the initialisation of landscape evolution models.

Professional association

Published outputs

Key papers

Jones, D.G., Beaubien, S.E., Barlow, T.S., Barkwith, A., Hannis, S., 2014. Baseline variability in onshore near surface gases and implications for monitoring at CO2 storage sites. Energy Procedia, 63, 4155–4162.

Jones. D.G., Barkwith, A., Hannis, S., Lister, T.R., Gal, F., Graziani, S., Beaubien, S.E., and Widory, D., 2014. Monitoring of near surface gas seepage from a shallow injection experiment at the CO2 Field Lab, Norway. International Journal of Greenhouse Gas Control, 28, 300-317.

Barkwith, A., Hurst, M.D., Thomas, C.W., Ellis, M.A, Limber, P.W., and Murray, A.B. 2014. Coastal vulnerability of a pinned, soft-cliff coastline - Part II: Assessing the influence of sea walls on future morphology. Earth Surface Dynamics 2, 233-242.

Barkwith, A., Thomas, C.W., Limber, P.W., Ellis, M.A., and Murray, A.B. 2014. Coastal vulnerability of a pinned, soft-cliff coastline - Part I: Assessing the natural sensitivity to wave climate. Earth Surface Dynamics 2, 295-308.

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., 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.

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

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.

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.

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., and 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
  • Amaury Frankl, Ghent University
  • Brad Murray, Duke University
  • Pat Limber, USGS
  • Tom Couthard, University of Hull