About the Project
Permafrost active layer dynamics as well as sea ice formation and duration are therefore strongly controlled by the mass and properties of overlying seasonal snow. However, our understanding of spatial variability in snow properties and snow mass is poorly constrained in Arctic environments, principally as we are strongly limited by current remote sensing capabilities and accurate retrieval of snow mass. This project will allow you to explore ways of removing these limitations through measurements and modelling for future development in snow remote sensing:
1. Measurements of snow properties and snow mass from a wide range of tundra and sea ice environments will allow you to create a much-needed robust quantification of variability in Arctic snowpack properties. Opportunities will be made available for you to add to these measurements yourself as part of international field campaigns in Arctic environments (e.g. Trail Valley Creek, NWT, Canada).
2. Recent advances in modelling of snowpack structure (e.g. Flexible Snow Model) and microwave radiative transfer in snow (e.g. Snow Microwave Radiative Transfer model) will allow you to explore and develop new approaches to spatially distributed simulation of Arctic snow that will directly feed into development of future low-cost satellite mission ideas.
You will be supported to develop your numerical modelling skills, e.g. using high performance computing, and your analyses will feed into international multidisciplinary networks of modelling and monitoring Arctic environmental change. This is a collaborative project externally co-supervised by Dr Chris Derksen (Environment and Climate Change Canada / University of Waterloo, Canada) and Dr Mel Sandells (CORES Science and Engineering Ltd, UK).
Please note eligibility requirement:
• Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above).
• Appropriate IELTS score (at least 6.5), if required.
• Applicants cannot apply for this funding if currently engaged in Doctoral study at Northumbria or elsewhere.
For further details of how to apply, entry requirements and the application form, see https://www.northumbria.ac.uk/research/postgraduate-research-degress/how-to-apply/
Applicants are required to include the advert reference (e.g. RDFC17-R1/GES/RUTTER) and statement of their research interests in relation to this project.
Application Deadline: 30 April 2019
Interview Date: Week commencing 20 May 2019 (via Skype)
Start Date: 1 October 2019
Northumbria University takes pride in, and values the quality and diversity of our staff. We welcome applications from all members of the community. The University holds an Athena SWAN Bronze award in recognition of our commitment to improving employment practices for the advancement of gender equality and is a member of the Euraxess network, which delivers information and support to professional researchers.
The principal supervisor for this project is Dr Nick Rutter (with Dr Chris Derksen and Dr Mel Sandells)
Rutter, Nick, Marshall, Hans-Peter, Tape, Ken, Essery, Richard and King, Joshua (2016) Impact of spatial averaging on radar reflectivity at internal snowpack layer boundaries. Journal of Glaciology, 62 (236). pp. 1065-1074. ISSN 0022-1430
King, Joshua, Kelly, Richard, Kasurak, Andrew, Dugauy, Claude, Gunn, Grant, Rutter, Nick, Watts, Tom and Derksen, Chris (2015) Spatio-temporal influence of tundra snow properties on Ku-band (17.2 GHz) backscatter. Journal of Glaciology, 61 (226). pp. 267-279. ISSN 0022-1430
Rutter, Nick, Sandells, Melody, Derksen, Chris, Toose, Peter, Royer, Alain, Montpetit, Benoit, Lemmetyinen, Juha and Pulliainen, Jouni (2014) Snow stratigraphic heterogeneity within ground-based passive microwave radiometer footprints: implications for emission modeling. Journal of Geophysical Research: Earth Surface, 119 (3). pp. 550-565. ISSN 2169-9011
Derksen, Chris, Toose, Peter, Lemmetyinen, Juha, Pulliainen, Jouni, Langlois, Alexandre, Rutter, Nick and Fuller, Mark (2012) Evaluation of passive microwave brightness temperature simulations and snow water equivalent retrievals through a winter season. Remote Sensing of Environment, 117. pp. 236-248. ISSN 0034-4257
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