Emma Zirkel
Phd student
Involved in the IcyAlert project.
Research interests
- Sea ice - ocean - atmosphere interactions in the Arctic
- Polar Sciences
- Application of causal methods, particularly the Liang-Kleeman information flow method, to Arctic sea-ice predictability problems
- Application of machine learning methods
- Use of data from general circulation models (e.g. CMIP6) and regional climate models
5 recent publications
- Paper in Prep. Zirkel, E., Mottram, R., Verro, K., Cherblanc, C., Hansen, N., and Lhermitte, S.: Pathway-transferability of Antarctic surface mass balance using machine learning for projections
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Zirkel, E., Mottram, R., Verro, K., and Lhermitte, S.: Emulating Surface Mass Balance in the Antarctic Peninsula Under Changing Forcings: A Transferability Assessment, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18429, https://doi.org/10.5194/egusphere-egu26-18429, 2026