Details of Award
NERC Reference : NE/R009406/1
Coastal Resilience to flooding Impact through relocatable Storm surge forecasting Capability for developing nations (C-RISC)
Grant Award
- Principal Investigator:
- Professor J Holt, NOC (Up to 31.10.2019), Science and Technology
- Co-Investigator:
- Professor KJ Horsburgh, National Oceanography Centre, Science and Technology
- Co-Investigator:
- Dr J Brown, National Oceanography Centre, Science and Technology
- Co-Investigator:
- Dr J Polton, National Oceanography Centre, Science and Technology
- Co-Investigator:
- Dr J D Harle, National Oceanography Centre, Science and Technology
- Grant held at:
- NOC (Up to 31.10.2019), Science and Technology
- Science Area:
- Marine
- Overall Classification:
- Unknown
- ENRIs:
- Environmental Risks and Hazards
- Science Topics:
- Regional & Extreme Weather
- Coastal flooding
- Land - Ocean Interactions
- Abstract:
- While the marine environment represents a substantial resource for growing coastal communities around the world it also can represent a substantial hazard to the life and livelihood of these communities. An important marine hazard arises from storms and their consequent surges. Surges are large scale increases in sea level resulting from a combination low atmospheric pressure and high winds. They lead to coastal flooding, coastal erosion and salt intrusion. In turn this results in loss of life, destruction of property and degradation of agricultural land. They are a global hazard that particularly impacts low lying coastal communities. In many places these are the poorest and most vulnerable communities. The provision of accurate and timely sea level forecasts can be of substantial benefit to avoiding and mitigating this hazard, by giving advanced warning to the communities and emergency services, in a similar way that weather forecasts provide warning of extreme rain or wind conditions. In this project we aim to provide a cost effective storm surge forecasts system that can be readily deployed for any coastal region of the world. We build on numerical ocean modelling capability developed in several of NERC project over the last decade. These have included projects focusing on Shelf Sea Biogeochemistry, on Ocean-Shelf transport and also NERC's National Capability Programme in Ocean Modelling. All of these required the development of highly accurate shelf sea models, include relevant physical processes of tides and wind-driven sea level variability. In this project we will develop the software capability to transfer the modelling approaches in these NERC projects to any sea region in the world and run as a storm surge forecast model, with simplified physics. These will be tested in NW European shelf seas and our demonstrator region in the Western Indian Ocean around Madagascar. To provide a reliable forecast set up we will transfer this system to a cloud computing service. Such services run by, e.g., Microsoft and Amazon, allow a user to rent a computer facility that is maintained 24/7, has a high level of reliability and can be duplicated. Importantly, it can be accessed anywhere in the world, removing the need to remotely setup a system on a partner organisation's computer. Once setup on the cloud service, we will run a trial operational period during the 2018/19 cyclone season to test the system. Throughout the project we will work with two key stakeholders in Madagascar: the Centre National de Recherches Oceanographiques (CNRO) is a public institute focusing on Oceanographic Research, tasked with responding to Government needs in this area and Direction Generale de la Meteorologie (DGM) is the Madagascan Met Office, who provide a cyclone warning service. We will provide a training session on the operational system and adapt to their needs regarding forecast data products and the potential to continue the service beyond the project.
- NERC Reference:
- NE/R009406/1
- Grant Stage:
- Completed
- Scheme:
- NC&C
- Grant Status:
- Closed
- Programme:
- Innovation Follow on
This grant award has a total value of £101,338
FDAB - Financial Details (Award breakdown by headings)
| DI - Other Costs | Indirect - Indirect Costs | DI - Staff | DA - Estate Costs | DI - T&S | Exception - T&S |
|---|---|---|---|---|---|
| £16,497 | £27,093 | £35,544 | £17,453 | £3,234 | £1,516 |
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