Details of Award
NERC Reference : NER/L/S/2001/00658
Uncertainty estimation in environmental modelling.
Grant Award
- Principal Investigator:
- Professor K Beven, Lancaster University, Lancaster Environment Centre
- Grant held at:
- Lancaster University, Lancaster Environment Centre
- Science Area:
- Terrestrial
- Freshwater
- Overall Classification:
- Freshwater
- ENRIs:
- Pollution and Waste
- Natural Resource Management
- Global Change
- Environmental Risks and Hazards
- Biodiversity
- Science Topics:
- Environmental Microbiology
- Water Quality
- Land - Atmosphere Interactions
- Hydrological Processes
- Abstract:
- This is a proposal for long term funding to develop and apply novel techniques of uncertainty estimation based on extensions to the GLUE methodology. The project will be particularly concerned with developing methods for the evaluation of models in the face of data limitations and model structure limitations. It will also consider how we might use uncertainty estimation to evaluate scenarios of change and to learn about improved process representations that are parsimonious but properly reflect the dominant processes at the scale of application. A further component of the project will be to demonstrate the use of uncertainty estimation in environmental policy and decision making. The application areas will range from hydroecological models, rainfall forecasting, atmospheric and groundwater transport, and the impacts of land use and climate change. The project will have a major training element with 5 tied studentships.
- NERC Reference:
- NER/L/S/2001/00658
- Grant Stage:
- Completed
- Scheme:
- Long Term Funding Pre FEC
- Grant Status:
- Closed
- Programme:
- Long Term Funding
This grant award has a total value of £355,316
FDAB - Financial Details (Award breakdown by headings)
| Total - T&S | Total - Staff | Total - Other Costs | Total - Equipment | Total - Indirect Costs |
|---|---|---|---|---|
| £16,140 | £179,448 | £14,995 | £6,765 | £137,969 |
If you need further help, please read the user guide.