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2022
- Deng, Q., ANU Mathematics and Computational Sciences Seminar (Aug. 2022), Superparameterisation of Arctic sea ice floes
- Davis, A.D., Giannakis, D., Stechmann, S., and Stadler G., European Congress on Computational Methods in Applied Sciences and Engineering (June 2022), Generalization of hydrodynamic sea ice dynamics using kinetic theory and the Boltzmann equation
- Wilhelmus, M.M., Lopez-Acosta, R., and Manucharyan, G., MIT (Mar. 2021), Tracing the New Arctic
- Wilhelmus, M.M., Lopez-Acosta, R., Hutchings, J., and Bliss, A., Bulletin of the Ocean Sciences Meeting (Feb. 2022), Retrieving the characteristics of oceanic turbulence from sea ice dispersion metrics
- Covington, J., Chen, N., Wilhelmus, M.M., and Lopez-Acosta, R., Bulletin of the Ocean Sciences Meeting (Feb. 2022), Estimating missing observations of ice floes using data assimilation
- Manucharyan, G., Lopez-Acosta, R., and Wilhelmus, M.M., Bulletin of the Ocean Sciences Meeting (Feb. 2022), Spinning ice floes reveal intensication of mesoscale eddies in the western Arctic Ocean
- Gupta, M., Thompson A.F., Los Alamos National Laboratory: Climate, Ocean and Sea Ice Modeling (Jan. 2022), Melting dynamics of Lagrangian sea-ice floes: ice/ocean coupling at the sub-mesoscales
2021
- Davis, A.D., Giannakis, D., Stechmann, S., and Stadler G., American Geophysical Union, (Dec. 2021), Generalization of hydrodynamic sea ice dynamics using kinetic theory and the Boltzmann equation
- Lopez, R. and Wilhelmus, M.M., Bulletin of the American Physical Society Division of Fluid Dynamics 74th Annual Meeting, (Nov. 2021), Sea ice dispersion mirrors underlying submesoscale ocean currentsamid strong atmospheric forcing
- Wilhelmus, M.M., Lopez-Acosta, R., and Manucharyan, G., CalTech (Oct. 2021), Tracing the New Arctic
- Denton, A.D. and Timmermans, M.-L., Society for Industrial and Applied Mathematics Annual Meeting 2021, (July 2021), Characterizing the Sea-Ice Floe Size Distribution Across a Range of Settings from High-Resolution Optical Satellite Imagery
- Dinh H., Giannakis, D., Stadler, G., and Slawinska, J., American Geophysical Union, (Dec. 2021), Machine Learning on Phase-Field Models of Sea Ice Fracture
- Davis, A.D., Giannakis, D., Stadler, G., Stechmann, S., and Manucharyan, G., Scientific Computing Seminar, Durham University (Feb. 2021), Super-parameterized numerical methods for the Boltzmann equation modeling Arctic sea ice dynamics
- Giannakis, D., Davis, A.D., Stadler, G., Stechmann, S., and Manucharyan, G., CalTech (Jan. 2021), Kinetic Theory for Superparameterization of Sea Ice Dynamics
- Manucharyan, G. E., Lopez-Acosta, R., and Martinez, M., (Feb. 2021) University of South Florida, College of Marine Science, “Emerging Arctic Ocean turbulence revealed by rotating sea ice fragments” [video]
- Dinh, H., Giannakis, D., Stadler, G., Slawinska, J., SIAM Annaual Meeting 2021, virtual meeting (July 2021), Machine learning on phase-field models of sea ice fracture
2020
- Davis, A.D., Giannakis, D., Stadler, G., Stechmann, S., and Manucharyan, G., American Geophysical Union (Dec. 2020), Super-parameterization of Lagrangian sea ice dynamics using the Boltzmann equation
- Davis, A.D., Center for Atmosphere and Ocean Science Seminar, NYU/Courant (Oct. 2020), Modeling emergent Arctic sea ice dynamics using small-scale discrete element methods within macro-scale equations
- Manucharyan, G. E. and B. P. Montemuro, (Nov. 2020) University of Cambridge, British Antarctic Survey, “SubZero: Floe-Resolving Sea Ice Model” [abstract].