EGU25-578, updated on 14 Jan 2026
https://doi.org/10.5194/egusphere-egu25-578
EGU General Assembly 2025
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
“Old Texts, New Tech, Better Theory”: Applying Machine Learning to Textual Weather Data from Historical Ship Logbooks
1,2,1,3,1- 1Department of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
- 2Department of Computer Science, Grinnell College, Grinnell, IA, USA
- 3Massachusetts Institute of Technology–Woods Hole Oceanographic Institution Joint Program in Oceanography/Applied Ocean Science and Engineering, Cambridge and Woods Hole, MA, USA
- 4Department of Earth and Environmental Science, Dalhousie University, Halifax, NS, CA
- 5Department of History, University of Massachusetts Dartmouth, Dartmouth, MA, USA
How to cite: Stein Freitas, L., Carr, T., Giacoppo, T., Walker, T., and Ummenhofer, C.: “Old Texts, New Tech, Better Theory”: Applying Machine Learning to Textual Weather Data from Historical Ship Logbooks , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-578, https://doi.org/10.5194/egusphere-egu25-578, 2025.