Environmental modelling and prediction
We use models of natural systems such as rivers, glaciers, oceans and the atmosphere to understand how these systems work, and in some cases to make predictions. Predictions may be useful for the scientific community or for managing these systems and their resources.
Quantitative predictive models, are becoming increasingly important for planning in many areas of social and economic life such as agriculture, medicine, insurance, energy generation and transport.
The Environmental Modelling and Prediction Research Group consists of earth, ocean and atmospheric scientists interested in modelling.
A model is a representation of the essential aspects of a system presented in a useable form.
Models are often based around fundamental physical equations that incorporate the best-known understanding of process response. Models in the natural sciences often also include empirical (ie: data-derived) relationships or simplified ‘physically-based’ relationships. They also generally draw on knowledge from multiple disciplines.
For example, a glacier model will include information from fluid mechanics (Navier-Stokes equations), laboratory experiments (Glen’s flow law) and the local geography (sub-ice bedrock profile, climate).
Academic and research staff
- Dr Brian Anderson - glacier and ice sheet modelling
- Dr Ruzica Dadic - modelling of energy and mass balance of the cryosphere
- Dr Nick Golledge - ice-sheet modelling
- Dr Huw Horgan - ice-sheet processes
- Dr Bethanna Jackson - hydrological modelling/ecosystem impacts of land management
- Dr Andrew Mackintosh - glacier and ice sheet modelling
- Dr Deborah Maxwell - hydrological modelling
- Dr Jim McGregor - atmospheric modelling
- Dr Dan Zwartz - sea level modelling