EGU26-14791, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-14791
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Combining human and AI approaches for effective digitization of historical atmospheric electricity records
,- University of Reading, Department of Meteorology , Department of Meteorology , Reading, United Kingdom of Great Britain – England, Scotland, Wales (hrip.mkrtchyan@gmail.com)
How to cite: Mkrtchyan, H., Nicoll, K., and Harrison, G.: Combining human and AI approaches for effective digitization of historical atmospheric electricity records, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14791, https://doi.org/10.5194/egusphere-egu26-14791, 2026.