Rachel Furner

PhD Student

Rachel Furner

Contact

Rachel Furner

Biography

Career

  • 2018-present: PhD student at DAMTP, partnered by the British Antactic Survey (BAS), supervised by Emily Shuckburgh at BAS and Peter Haynes at DAMTP
  • 2016-2018: Coordinator of the CCIMI and CMIH
  • 2008-2016: Coastal modelling scientist, UK Met Office
  • 2004-2007: BA Mathematics, University of Oxford

Research
Rachel is part of the Dynamical Meteorology & Oceanography research group at DAMTP, and the Polar Oceans group at BAS. Her current research looks at novel modelling techniques for the ocean carbon cycle, with a focus on big data approaches, such as machine learning.  Her past work involved process based modelling of the phsical ocean, specifically the UK shelf seas.

Research interests

  • Data Driven methods for Carbon Cycle Modelling
  • Physical Oceanography
  • Ocean Modelling
  • Machine Learning

O’Dea, E., Furner, R., Wakelin, S., Siddorn, J., While, J., Sykes, P., . . . Hewitt, H. (2017). The CO5 configuration of the 7 km Atlantic Margin Model: large-scale biases and sensitivity to forcing, physics options and vertical resolution. Geoscientific Model Development, 10(8), 2947-2969. doi:10.5194/gmd-10-2947-2017

Furner, R., Williams, J., Horsburgh, K., Saulter A. (2015).  “Adapting NEMO for use as the UK operational storm surge forecasting model – initial tidal results”.   Paper presented at the 2nd JCOMM Scientific and Technical Symposium on Storm Surges, Key West, Florida, November

Siddorn, J., & Furner, R. (2013). An analytical stretching function that combines the best attributes of geopotential and terrain-following vertical coordinates. Ocean Modelling, 66, 1-13. doi:10.1016/j.ocemod.2013.02.001

Hyder, P., While, J., Arnold, A., O’Dea, E., Furner, R., Siddorn, J., . . . Sykes, P. (2013). Evaluating a new NEMO-based Persian/Arabian Gulf tidal operational model. Journal of Operational Oceanography, 6(1), 3-16. doi:10.1080/1755876x.2013.11020140
O’Dea, E. J., Arnold, A. K., Edwards, K. P., Furner, R., Hyder, P., Martin, M. J., . . . Liu, H. (2012). An operational ocean forecast system incorporating NEMO and SST data assimilation for the tidally driven European North-West shelf. Journal of Operational Oceanography, 5(1), 3-17. doi:10.1080/1755876x.2012.11020128

2019

AI for Environmental Sciences
Blog 21 July, 2019