Details of Award
NERC Reference : NE/B503617/1
Application of a dynamic data-fusion scheme to the estimation of a long-term, satellite, global Sea-Surface Temperature Analysis.
Grant Award
- Principal Investigator:
- Dr M Juckes, STFC - Laboratories, RAL Space
- Grant held at:
- STFC - Laboratories, RAL Space
- Science Area:
- Marine
- Overall Classification:
- Marine
- ENRIs:
- Natural Resource Management
- Global Change
- Science Topics:
- Ocean Circulation
- Ocean - Atmosphere Interact.
- Climate & Climate Change
- Abstract:
- The project will combine observations of sea surface temperature from the past 15 years into a homogeneous gridded dataset and evaluate dynamic error estimates. Existing datasets have uniform, climatological error estimates which do not reflect evolving uncertainties due, inter alia, to fluctuations in observation density and to varying cloud cover. As methods of analysing and exploiting data become increasingly sophisticated it is becoming ever more important to have accurate characterisations of the actual, rather than climatological, uncertainties. The project will exploit and further develop a new analysis technique to generate analysis fields at higher spatio-temporal resolution than in earlier work. Particular attention will be given to accurate representation of near-coastal features because of the importance of western boundary currents. Accurate representation of these currents is challenging not only because of the small scales of the flow but also because the proximity of land creates inhomogeneities in the error statistics and because of the additional cloud cover in the coastal region which disrupts infra-red observations from space. It is also hoped that the improved spatiotemporal resolution will be sufficient to identify areas of deep convection which are crucial to the oceanic heat transport. The new analysis technique uses a hierarchical tree structure to be able to represent both the large- scale structures (low in the hierarchy) and the fine-scale detail (high in the hierarchy) in a computationally efficient algorithm. It has been developed for use in operational sea surface temperature analysis under a research grant from NOAA. This project will exploit the existing code and develop it further to represent error statistics in greater detail.
- NERC Reference:
- NE/B503617/1
- Grant Stage:
- Completed
- Scheme:
- Standard Grants Pre FEC
- Grant Status:
- Closed
- Programme:
- Standard Grant
This grant award has a total value of £100,736
FDAB - Financial Details (Award breakdown by headings)
| Total - T&S | Total - Staff | Total - Indirect Costs |
|---|---|---|
| £2,039 | £67,601 | £31,096 |
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