How does vertical mixing shape the Arctic shelf sea dynamics?


   School of Ocean and Earth Sciences

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  Dr Xiaoyan Wei, Prof Robert Marsh, Dr G Nurser, Dr Jeff Polton, Dr S Rynders  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Project overview

This project aims to address the challenge of predicting land-sea exchanges of material in Arctic shelf seas. Employing numerical and semi-analytical models, we’ll reveal how vertical mixing impacts property and movement of the Arctic's shelf waters. Results will provide valuable insights for refining mixing parameterizations to improve climate predictions

Project Description

Because of highly variable forcings, including tides, wind, ice melting/formation, and surface heating/cooling, predicting the land-sea exchange of freshwater, salt, and heat in Arctic shelf seas remains a significant challenge, with implications for marine ecosystems and global climate change. By integrating diverse modeling techniques, this study aims to attain a profound understanding and accurate representation of currents and properties within the Arctic shelf sea waters. The approach involves three key steps: 

  1. Investigating spatio-temporal variability in Arctic shelf sea dynamics by analyzing the existing NEMO Arctic model (Luneva et al. 2015) and the kilometric Arctic model to be developed within the CANARI project. 
  2. Developing a semi-analytical model for the Arctic shelf seas, extending Stigebrandt (1981) and Wei et al. (2021), to isolate individual contributions from mixing processes (e.g., convective, wind-induced, tidal mixing, internal waves) to vertical mixing, current speed, and material transport. 
  3. Exploring the sensitivities of Arctic shelf sea dynamics to various forcing changes (e.g., wind, surface heat fluxes, freshwater discharge) across different timescales. 

The findings will (i) enhance our understanding of spatio-temporal variability in stratification and currents in Arctic numerical simulations and field observations, and (ii) provide valuable insights for refining vertical mixing parameterizations and accurately capturing variations of currents and water properties in Arctic shelf sea models. 

This project is linked to prior and ongoing research: 

  1. Utilizing completed numerical simulations, including diverse model configurations, from CLASS (Climate Linked Atlantic Sector Science)
  2. Leveraging insights from the ongoing CANARI project to inform the current study. 

Training:

The INSPIRE DTP programme provides comprehensive personal and professional development training alongside extensive opportunities for students to expand their multi-disciplinary outlook through interactions with a wide network of academic, research and industrial/policy partners. The student will be registered at the University of Southampton and hosted at the National Oceanography Centre (NOC), Liverpool.  

Specific training will include:   

  1. Discipline-based training –relevant seminars and journal clubs; selected SOES modules (e.g., SOES3009, Shelf Seas and Shelf Edge Dynamics). 
  2. Professional skills for research leadership – training workshops for making good presentations, time management, and paper/proposal writing. 
  3. Research methods training – modelling workshops (including the use of HPC (High Performance Computing) systems and JASMIN, the UK data analysis facility for environmental science), programming courses/webinars (Fortran, Python), and summer schools. 
  4. Career Development and Transferable Skills Training – presenting at domestic and international conferences, annual training programme organised by the University of Liverpool (Making an Impact).   

 A suitable first degree would be in: 

 Any Earth or Environmental Science discipline 

 ​Engineering 

​Mathematics 

​​Oceanography or Marine Science

​Physics


Environmental Sciences (13)

Funding Notes

https://inspire-dtp.ac.uk/how-apply

References

Luneva, M. V., Aksenov, Y., Harle, J. D., & Holt, J. T. (2015). The effects of tides on the water mass mixing and sea ice in the Arctic Ocean. Journal of Geophysical Research: Oceans, 120(10), 6669-6699.
Stigebrandt, A. (1981). A model for the thickness and salinity of the upper layer in the Arctic Ocean and the relationship between the ice thickness and some external parameters. Journal of Physical Oceanography, 11(10), 1407-1422.
Wei, X., Schuttelaars, H. M., Williams, M. E., Brown, J. M., Thorne, P. D., &Amoudry, L. O. (2021). Unraveling interactions between asymmetric tidal turbulence, residual circulation, and salinity dynamics in short, periodically weakly stratified estuaries. Journal of Physical Oceanography, 51(5), 1395-1416.

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