Rachel Furner
PhD Student
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
Collaborations
Publications from NERC Open Research Archive
2022
Furner, Rachel ORCID record for Rachel Furner, Haynes, Peter, Munday, Dave ORCID record for Dave Munday, Paige, Brooks, Jones, Daniel C. ORCID 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
Machine Learning for Environmental Sciences
Blog 21 July, 2019
2021
Celebrating International Women’s Day
News 8 March, 2021
2019
CCfCS event: Panel discussion on IPCC special reports
Event 28 November, 2019