Details of Award
NERC Reference : NER/M/S/2002/00074
Identification of state dependencies in simple canopy models using recursive estimation of eddy flux time series data.
Grant Award
- Principal Investigator:
- Dr A Jarvis, Lancaster University, Environmental Science
- Grant held at:
- Lancaster University, Environmental Science
- Science Area:
- Terrestrial
- Freshwater
- Atmospheric
- Overall Classification:
- Terrestrial
- ENRIs:
- Natural Resource Management
- Global Change
- Biodiversity
- Science Topics:
- Environmental Physiology
- Land - Atmosphere Interactions
- Climate & Climate Change
- Abstract:
- Forecasting the modulation of surface-atmosphere fluxes is an important component of climate prediction. Models for making flux predictions to and from plant canopies vary in complexity depending on the processes perceived to be dominating. Recent advances in recursive estimation techniques in conjunction with the availability of eddy flux data has opened up an opportunity to explore the identification of canopy models directly from these time series data, thereby reducing the likelihood of prejudicial model selection. This project will use recursive estimation of available eddy flux time series to estimate parameter state dependencies of an established WUE-RUE model as a means of identifying an appropriate level of complexity required to predict surface-atmosphere fluxes.
- NERC Reference:
- NER/M/S/2002/00074
- Grant Stage:
- Completed
- Scheme:
- New Investigators Pre FEC
- Grant Status:
- Closed
- Programme:
- New Investigators
This grant award has a total value of £52,163
FDAB - Financial Details (Award breakdown by headings)
| Total - Staff | Total - T&S | Total - Indirect Costs | Total - Equipment |
|---|---|---|---|
| £33,874 | £707 | £15,582 | £2,000 |
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