Details of Award
NERC Reference : NE/N019083/1
Earth Observations for weather and climate studies
Training Grant Award
- Lead Supervisor:
- Dr C Chiu, University of Reading, Meteorology
- Grant held at:
- University of Reading, Meteorology
- Science Area:
- Atmospheric
- Marine
- Terrestrial
- Overall Classification:
- Atmospheric
- ENRIs:
- Environmental Risks and Hazards
- Global Change
- Science Topics:
- Radiative Processes & Effects
- Tropospheric Processes
- Climate & Climate Change
- Remote Sensing & Earth Obs.
- Technol. for Environ. Appl.
- Abstract:
- Earth observation (EO) is crucial for advancing weather and climate models, directly through enhancing process understanding, through systematic model evaluation, and by improving model forecasts via data assimilation. In addition to their unique role in weather/climate science and services, EO data are also a rapidly growing economic area where the UK's world leadership can be built upon. Aiming to bridge satellite EO with weather/climate studies and filling the gaps in the regular remote sensing courses for postgraduates, the objectives of the training course are 1) to review fundamentals of weather, climate and radiative transfer models applied to remote sensing and model evaluations; and 2) to develop knowledge and practical skills for synthesising EO data for emerging weather and climate issues. At the end of the training course, the students will be able to: - Develop and evaluate retrieval methods for sensing aerosols, clouds, precipitation, and atmospheric profiles of temperature and humidity; - Evaluate weather/climate model output using radiative transfer models and satellite simulators; and - Synthesise large EO data sets through visualisation tools with the underpinning knowledge of weather and climate. We propose a 5-day course with a combination of lectures, practical sessions, student presentations and group projects. The course will capitalise on 1) a range of expertise at the University of Reading in EO, weather and climate; 2) extensive teaching experience in relevant postgraduate courses, and 3) our knowledge of, and computing resources in, state-of-theart radiative transfer models, visualisation tools and advanced satellite simulators. Students will gain a thorough understanding of the physical principals behind interpreting EO data and subsequently will be able to exploit these data both in academic research and in developing commercial applications. This course not only addresses the highest priorities, "Data processing techniques in Environmental Sciences" and "The application and evaluation of Earth System Science models", in the "Most Wanted II" report, but also supports the supply of skilled postgraduates and early career scientists for research activities in the UK Space Agency, the National Centre for Earth Observation, and the National Centre for Atmospheric Science.
- NERC Reference:
- NE/N019083/1
- Grant Stage:
- Completed
- Scheme:
- Doctoral Training
- Grant Status:
- Closed
- Programme:
- Advanced Training
This training grant award has a total value of £31,909
FDAB - Financial Details (Award breakdown by headings)
| Total - Other Costs |
|---|
| £31,909 |
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