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.
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
AI for Environmental Sciences
Blog 21 July, 2019