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Saturday 19 May 2012

The CCRM Team

Dr. Matt Wilson

Dr Matt Wilson

BSc Southampton, PhD Southampton

Matt Wilson has a PhD in computational flood modelling and is particularly interested in the assessment of uncertainty in predictions of flood inundation and the assimilation of remotely sensed data into models. Past research has included the geostatistical assessment of the effect of topographic uncertainty on the prediction of flood inundation. Recent work includes the modelling of large rivers, including the Amazon (Brazil) and Ohio (United States) rivers. Projects include a "virtual mission" to develop specifications for a surface water remote sensing satellite (SWOT).

Research Interests and Expertise

Thematic Areas:

  • Flood hazard and risk assessment
  • Computational modelling of flood inundation
  • Large scale flood modelling
  • Uncertainty in environmental predictions

World Regions of Interest:

I am interested in all areas, particularly developing countries. Areas I have experience working in include:

  • United Kingdom
  • United States
  • Amazon basin
  • Andes, South America
  • Russia

Examples of Research/Consultancy Topics

  • The impact of future climate change in the Royal Borough of Kensington and Chelsea.
  • Uncertainty assessments of flood inundation impacts - using spatial climate change scenarios to drive an ensemble of distributed models for extreme conditions.
  • The effects of uncertainty in input data on the prediction of river flow and flood inundation.
  • The Amazon flood cycle and water balance.
  • Development of specifications for a surface water remote sensing satellite, SWOT.

Selected Recent Publications

  • He Y, Wetterhall F, Cloke HL, Pappenberger F, Wilson MD, Freer J, McGregor G (in press). Tracking the uncertainty in flood alerts driven by grand ensemble weather predictions. Meteorological Applications.
  • Durand M, Andreadis KM, Alsdorf DE, Lettenmaier DP, Moller D, and Wilson MD (2008). Estimation of bathymetric depth and slope from data assimilation of swath altimetry into a hydrodynamic model, Geophysical Research Letters, 35, L20401, doi:10.1029/2008GL034150.
  • Wilson MD, Bates PD, Alsdorf D, Forsberg B, Horritt MS, Melack J, Frappart F and Famiglietti J (2007), Modeling large-scale inundation of Amazonian seasonally flooded wetlands, Geophysical Research Letters, 34, L15404, doi:10.1029/2007GL030156.
  • Wilson MD and Atkinson PM (2007), The use of remotely sensed land cover to derive floodplain friction coefficients for flood inundation modelling, Hydrological Processes, 21 (26), 3576-3586 doi:10.1002/hyp.6584.
  • Alsdorf D, Bates P, Melack J, Wilson MD, and Dunne T (2007). The spatial and temporal complexity of the Amazon flood measured from space, Geophysical Research Letters, 34, L08402, doi:10.1029/2007GL029447. Available here.
  • Wilson MD (2007). Increased frequency and intensity of floods, in Rapid Climate Change, Lloyds of London.
  • Michaelides K and Wilson MD (2007). Uncertainty in predicted runoff due to patterns of spatially variable infiltration, Water Resources Research, 43, W02415, doi:10.1029/2006WR005039.
  • Bates PD, Wilson MD, Horritt MS, Mason D, Holden N and Currie C (2006). Reach scale floodplain inundation dynamics observed using airborne Synthetic Aperture Radar imagery: data analysis and modelling, Journal of Hydrology, 328, 306-318. doi:10.1016/j.jhydrol.2005.12.028.
  • Hunter NM, Bates PD, Horritt MS, Wilson MD (2006). Improved simulation of flood flows using storage cell models, Proceedings of the Institute of Civil Engineers, Water Management, 159, WMI, 9-18. doi:10.1680/wama.2006.159.1.9.
  • Néelz S, Pender G, Villanueva I, Wilson MD, Wright NG, Bates PD, Mason D, Whitlow C (2006). Using remotely sensed data to support flood modelling, Proceedings of the Institution of Civil Engineers, Water Management, 159, WM1, 35-43. doi:10.1680/wama.2006.159.1.35.