Details of Award
NERC Reference : NE/R011885/1
NERC Industrial Strategy Studentships 2017
Training Grant Award
- Lead Supervisor:
- Professor DP Marshall, University of Oxford, Mathematical, Physical&Life Sciences Div
- Grant held at:
- University of Oxford, Mathematical, Physical&Life Sciences Div
- Science Area:
- Atmospheric
- Earth
- Freshwater
- Terrestrial
- Overall Classification:
- Atmospheric
- ENRIs:
- Environmental Risks and Hazards
- Global Change
- Natural Resource Management
- Science Topics:
- Tropospheric Processes
- Ecohydrology
- Flood risk
- Groundwater
- Water resources
- Catchment management
- Hydrological Processes
- High Performance Computing
- Intelligent Measurement Sys.
- Remote Sensing & Earth Obs.
- Abstract:
- We have developed three collaborative projects where we shall work with industrial and other partners to solve some pressing problems in environmental research. Each project has been developed in partnership with end users; and each will engage the doctoral researchers in high level research, using a combination of approaches including quantitative modelling, environmental and earth observation, and novel applications in 'big data'. All three projects are 'CASE' awards. Project 1: Drought Characterisation in East Africa Working with an international space and satellite technology company, we will develop multi-level decision support for flood and drought resilience in East Africa. We shall develop new ways to monitor drought by combining Earth Observation with water resource modelling and in situ monitoring. The student will work directly with the space and satellite technologies sector and will use new digital technologies (machine learning) to support decision-making. The student will work closely with partner organisations and stakeholders both in the UK and East Africa as an integral component of the project. Project 2: Developing industry-led tools to improve water and flood defence infrastructure through natural capital. In partnership with a major water company, we will develop new tools to identify cost-effective measures to deliver improved water and flood defences using sustainable drainage systems and natural flood management. The student will use high-performance computing facilities in Oxford to process and model earth observation data, and to deliver information to a network of stakeholders in a locally relevant, but scalable way. This project will build on, and extend, work by diverse partners across a regional catchment partnership, and the outcomes of the project will inform local, regional and national debate and decision-making in this important area. Project 3: Constraining aerosol-cloud interactions in global models. Aerosol-cloud interactions are the most uncertain man-made perturbation of the climate system. These interactions are difficult to represent in global weather and climate models, and this directly affects the accuracy of both short and long-term forecasting. The student will develop new data analysis techniques for next generation satellite sensors, and use this approach to reduce uncertainty in the aerosol and cloud components of the high-performance UK weather, climate and earth system model. The new techniques will directly benefit the weather and climate models that are currently used for activities from commercial weather forecasting all the way to long-term climate simulations.
- NERC Reference:
- NE/R011885/1
- Grant Stage:
- Completed
- Scheme:
- Doctoral Training
- Grant Status:
- Closed
- Programme:
- NPIF Allocation
This training grant award has a total value of £516,828
FDAB - Financial Details (Award breakdown by headings)
| Total - Other Costs | Total - Fees | Total - RTSG | Total - Student Stipend |
|---|---|---|---|
| £73,725 | £86,844 | £55,000 | £301,262 |
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