Peter MetcalfeAssociate Lecturer
In my PhD I applied large scale computerised modelsd to the evaluation, design and uncertainty analysis of the impacts of "natural" flood management interventions. I am now working in a LEC team in partnership with JBA Consulting and the River Trust in a 3.5 year long NERC-funded project into determining the effectiveness of these techniques, and to develop these computer models further.
- Runoff modelling
- Flood modelling
- High performance computing applied to environmental systems
- Hydraulic modelling of flood mitigation structures
- Water quality modelling
- Stochastic environmental models
- Natural flood management
I am an avid user of the spatial features of the R language and environment http://www.r-project.org/
A modelling framework for evaluation of the hydrological impacts of nature-based approaches to flood risk management, with application to in-channel interventions across a 29-km2 scale catchment in the United Kingdom
Metcalfe, P., Beven, K., Hankin, B., Lamb, R. 9/03/2017 In: Hydrological Processes.
Development of a modelling framework for integrated catchment flood risk management
Metcalfe, P.W. 2017 Lancaster University. 306 p.
HydroBlocks: a field-scale resolving land surface model for application over continental extents
Chaney, N.W., Metcalfe, P., Wood, E.F. 30/09/2016 In: Hydrological Processes. 30, 20, p. 3543-3559. 17 p.
Dynamic TOPMODEL: a new implementation in R and its sensitivity to time and space steps
Metcalfe, P., Beven, K.J., Freer, J. 10/2015 In: Environmental Modelling and Software. 72, p. 155-172. 18 p.
Implementation of the Dynamic TOPMODEL hydrological model: A native R implementation and enhancement of Dynamic TOPMODEL, Beven and Freers' (2001) extension to the semi-distributed hydrological model TOPMODEL (Beven and Kirkby, 1979).
Metcalfe, P. 13/05/2014