Cite
Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology.
MLA
Finn, Tobias Sebastian, et al. “Deep Learning Subgrid-Scale Parametrisations for Short-Term Forecasting of Sea-Ice Dynamics with a Maxwell Elasto-Brittle Rheology.” Cryosphere, vol. 17, no. 7, July 2023, pp. 2965–91. EBSCOhost, https://doi.org/10.5194/tc-17-2965-2023.
APA
Finn, T. S., Durand, C., Farchi, A., Bocquet, M., Chen, Y., Carrassi, A., & Dansereau, V. (2023). Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology. Cryosphere, 17(7), 2965–2991. https://doi.org/10.5194/tc-17-2965-2023
Chicago
Finn, Tobias Sebastian, Charlotte Durand, Alban Farchi, Marc Bocquet, Yumeng Chen, Alberto Carrassi, and Véronique Dansereau. 2023. “Deep Learning Subgrid-Scale Parametrisations for Short-Term Forecasting of Sea-Ice Dynamics with a Maxwell Elasto-Brittle Rheology.” Cryosphere 17 (7): 2965–91. doi:10.5194/tc-17-2965-2023.