Details of Award
NERC Reference : NE/M006441/1
Data Assimilation and Visualization in Environmental Sciences
Training Grant Award
- Lead Supervisor:
- Professor AS Lawless, University of Reading, Mathematics and Statistics
- Grant held at:
- University of Reading, Mathematics and Statistics
- Science Area:
- Atmospheric
- Freshwater
- Marine
- Terrestrial
- Overall Classification:
- Atmospheric
- ENRIs:
- Environmental Risks and Hazards
- Global Change
- Science Topics:
- Atmospheric sciences
- Ecosystems
- Meteorology
- Oceanography
- Earth & environmental
- Abstract:
- Data assimilation is the process of incorporating observational data into numerical models in order to obtain a best estimate of the state of a system, including uncertainty estimates. It is widely used in forecasting of weather and oceans and is becoming more important in the forecasting of other environmental systems, such as terrestial carbon or marine biochemical systems. As the UK is strongly investing in new observational data, especially satellite data, and environmental models are becoming more complex, it is important to have scientists trained in data-assimilation methods so that the maximum benefit can be obtained from these data and these models, both for understanding and prediction. In this course students will be led through the science of data assimilation by means of both lectures on the theory and practice of data assimilation and by computer practicals. They will also learn methods for visualizing the resulting large data sets. The lectures will be given by leading scientists from the Data Assimilation Research Centre (DARC), who are all working at the forefront of the field. The students will have the opportunity to increase their understanding through computer exercises developed within DARC. As part of this they will gain experience of running data assimilation code on the UK national supercomputer Archer and will use a data visualization wall recently acquired by the University of Reading. One of the main priority areas of UK science is to provide accurate predictions for the environmental system, including the atmosphere, atmospheric composition, ocean, marine biogeochemistry, land surface, and space weather. Apart from in weather prediction, state-of-the-art data assimilation is not used routinely. Specifically climate and Earth System Model prediction is in its infancy, while the demand from policy, government and business is huge. Furthermore, the UK is lacking behind in ocean prediction. On the other hand, the UK has an enormous potential to be world leading is this field with a few very strong research groups. This course will train a new generation of scientists in data assimilation methods, allowing them to bring these skills into different areas of environmental science and to make best use of new data for environmental prediction.
- NERC Reference:
- NE/M006441/1
- Grant Stage:
- Completed
- Scheme:
- Doctoral Training
- Grant Status:
- Closed
- Programme:
- Advanced Training
This training grant award has a total value of £50,688
FDAB - Financial Details (Award breakdown by headings)
| Total - Other Costs |
|---|
| £50,688 |
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