Ms Rachel Furner
Career
- 2018-present: PhD student at DAMTP, partnered by the British Antarctic 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 physical ocean and ocean carbon cycle, with a focus on big data approaches, such as machine learning. One particular focus is on using statistical and machine learning methods to produce mroe computationally efficient analogues of physically based ocean models. Her past work involved process based modelling of the physical ocean, specifically the UK shelf seas.
Publications
An iterative data-driven emulator of an ocean general circulation model
(2023)
(DOI: 10.5194/egusphere-egu23-3340)
A sensitivity analysis of a regression model of ocean temperature
– Environmental Data Science
(2022)
1,
e11
(DOI: 10.1017/eds.2022.10)
AMM15: a new high-resolution NEMO configuration for operational simulation of the European north-west shelf
– Geoscientific Model Development
(2018)
11,
681
(DOI: 10.5194/gmd-11-681-2018)
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
(2017)
10,
2947
(DOI: 10.5194/gmd-10-2947-2017)
Evaluating a new NEMO-based Persian/Arabian Gulf tidal operational model
– Journal of Operational Oceanography
(2014)
6,
3
Forecasting the ocean state using NEMO:The new FOAM system
– Journal of Operational Oceanography
(2014)
3,
3
An operational ocean forecast system incorporating NEMO and SST data assimilation for the tidally driven European North-West shelf
– Journal of Operational Oceanography
(2014)
5,
3
An analytical stretching function that combines the best attributes of geopotential and terrain-following vertical coordinates
– Ocean Modelling
(2013)
66,
1
(DOI: 10.1016/j.ocemod.2013.02.001)