Rachel Furner

PhD Student

Rachel Furner

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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

Publications from NERC Open Research Archive

2022

Furner, Rachel ORCIDORCID record for Rachel Furner, Haynes, Peter, Munday, Dave ORCIDORCID record for Dave Munday, Paige, Brooks, Jones, Daniel C. ORCIDORCID record for Daniel C. Jones, Shuckburgh, Emily. (2022) A sensitivity analysis of a regression model of ocean temperature. Environmental Data Science, 1. 28 pp. 10.1017/eds.2022.10

2019

AI for Environmental Sciences
Blog 21 July, 2019