| EPSRC Reference: |
EP/Y015746/1 |
| Title: |
TRaNSMIT - A towable RF system for non-invasive sensing and measurement of Arctic sea ice thickness |
| Principal Investigator: |
Marsh, Dr L |
| Other Investigators: |
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| Department: |
Electrical and Electronic Engineering |
| Organisation: |
University of Manchester, The |
| Scheme: |
New Investigator Award |
| Starts: |
01 April 2024 |
Ends: |
31 March 2027 |
Value (£): |
407,143
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| EPSRC Research Topic Classifications: |
| Electronic Devices & Subsys. |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
Sea ice is a key indicator of climate change and as such is one of the World Meteorological Institute's Essential Climate Variables (ECV). Monitoring ECV are deemed essential by the United Nations Framework Convention on Climate Change (UNFCCC) and the Intergovernmental Panel on Climate Change (IPCC) as these datasets provide the empirical evidence to understand and predict the evolution of climate, to guide mitigation and adaptation measures, to assess risks and enable attribution of climate events to underlying causes, and to underpin climate services. However, knowledge of the thickness of sea ice lags other ECVs as currently we can currently only measure it conducting labour-intensive surveys such as drilling for samples. This approach lacks the speed and scalability of non-destructive sensing methods, which have the potential to yield a far greater insight into ice thickness trends over much larger areas as a result.
The Arctic is warming at more than twice as fast as any other region of our planet and possibly the most dramatic changes are those associated with Arctic sea ice. Satellite records have revealed a significant decrease in sea ice extent in all months, especially in summer. There has been a reduction in summer sea ice extent from about 7 million km2 in the late 1970s to around 3.4 million km2 in 2012; a reduction of over 50%. Complex computer models predict that the Arctic Ocean is on track to become ice free in summer in the 2030s.
Whilst the decaying sea ice cover opens up opportunities for economic development in the Arctic, such as exploitation of natural resources, fisheries, tourism and shipping, its loss has immediate implications for the sustainability of many northern local and indigenous communities, their economies, health and well-being. In many ways, sea ice can be viewed as the glue that binds these northern communities together because it is utilised both for commercial (hunting/fishing) and social (transport network) means. However, the sea ice is changing; annually, it is melting earlier and forming later and as a result it is becoming thinner and less stable. These dramatic changes impact the safety of people on the ice, but also the hunting ability of the Inuit, thus threatening the cultural survival of these people. It is therefore imperative to further advance the monitoring of sea ice thickness through the development of more accurate and easier to use monitoring systems. A low-cost ability to accurately quantify the thickness of sea ice with a high resolution can benefit a range of stakeholders, from the wider scientific community, through to industry and to local and indigenous Arctic communities.
Presently there is no single modality of sensing technology which can return accurate, high resolution, sea ice thickness measurements under a range of sea ice conditions. The central hypothesis of this proposal is that there is potential to affect a step change in our capability to measure sea ice thickness by fusing multiple sensor modalities, and by investigating the potential for novel forms of signal processing and detection algorithms, including the implementation of inversion techniques. This will include the ability to separately quantify the total snow depth, and sea ice thickness, with further confidence information being returned to quantify any ambiguities caused by the presence of brine pockets.
The proposed programme of research will investigate this hypothesis by implementing a dual modality sensor consisting of both electromagnetic induction and ground-penetrating radar technologies. These modalities are sensitive to different aspects of the environment, and together can be used to determine sea ice thickness non-invasively and through routine transit over the ice. Our goal is to be able to provide processing methods and appropriate instrumentation which has the potential to collect data on a scale which is impossible to realise using current methods.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.man.ac.uk |