Pfirman, S., T. O'Garra, E. Bachrach Simon, J. Brunacini, D. Reckien, J.J. Lee, and E. Lukasiewicz, 2021: “Stickier” learning through gameplay: An effective approach to climate change education, Journal of Geoscience Education, 69(2), https://doi.org/10.1080/10899995.2020.1858266

O'Garra, T., D. Reckien, S. Pfirman, E. Bachrach Simon, G. A. Bachman, J. Brunacini, and J. J. Lee., 2021: Impact of gameplay vs. reading on mental models of social-ecological systems: a fuzzy cognitive mapping approach, Ecology and Society, 26(2):25, https://doi.org/10.5751/ES-12425-260225 

Newton, R., S. Pfirman, L.B. Tremblay, and P. DeRepentigny, 2021: Defining the “Ice Shed” of the Arctic Ocean's Last Ice Area and Its Future Evolution, Earth's Future, 9(9), https://doi.org/10.1029/2021EF001988

Trotechaud, S., B. Tremblay, J. Williams, J. Romanski, A. Romanou, M. Bushuk, W. Merryfield, and R. Msadek, 2024: Predictability of the Minimum Sea Ice Extent from Winter Fram Strait Ice Area Export: Model versus Observations, J. Climate, 37, 2361-2377, https://doi.org/10.1175/JCLI-D-22-0931.1

Le Guern-Lepage, A., and B.L. Tremblay, 2023: Disentangling Dynamic from Thermodynamic Summer Ice Area Loss from Observations (1979–2021): A Potential Mechanism for a “First-Time” Ice-Free Arctic, J. Climate, 36, 7693-7713, https://doi.org/10.1175/JCLI-D-22-0628.1

Lavoie, J., B. Tremblay, and E. Rosenblum, 2022: Pacific Waters Pathways and Vertical Mixing in the CESM1-LE: Implication for Mixed Layer Depth Evolution and Sea Ice Mass Balance in the Canada Basin, Journal of Geophysical Research: Oceans, 127(2), https://doi.org/10.1029/2021JC017729

Decuypère, M., L.B. Tremblay, and C.O. Dufour, 2022: Impact of Ocean Heat Transport on Arctic Sea Ice Variability in the GFDL CM2-O Model Suite, Journal of Geophysical Research: Oceans, 127(3), https://doi.org/10.1029/2021JC017762

Brunette, C., L.B. Tremblay, and R. Newton, 2022: A new state-dependent parameterization for the free drift of sea ice, The Cryosphere, 16(2), https://doi.org/10.5194/tc-16-533-2022 

Blockley, E., M. Vancoppenolle, E. Hunke, C. Bitz, D. Feltham, J..-F. Lemieux, M. Losch, E. Maisonnave, D. Notz, P. Rampal, S. Tietsche, B. Tremblay, A. Turner, F. Massonnet, E. Ólason, A. Roberts, Y. Aksenov, T. Fichefet, G. Garric, D. Iovino, G. Madec, C. Rousset, D. Salas y Melia, and D. Schroeder, 2020: The Future of Sea Ice Modeling: Where Do We Go from Here?, Bulletin of the American Meteorological Society, 101(8), https://doi.org/10.1175/BAMS-D-20-0073.1

Kandel, R. and H. Baroud, 2024: A data-driven risk assessment of Arctic maritime incidents: Using machine learning to predict incident types and identify risk factors, Reliability Engineering & System Safety, 243, https://doi.org/10.1016/j.ress.2023.109779

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