Zampieri, Lorenzo Goessling, Helge F. and Jung, Thomas 2018. Bright Prospects for Arctic Sea Ice Prediction on Subseasonal Time Scales. Geophysical Research Letters, Vol. 45, Issue. 18, p. 9731.

Xu, Yan and Scott, K. Andrea 2019. Impact of intermediate ice concentration training data on sea ice concentration estimates from a convolutional neural network. International Journal of Remote Sensing, Vol. 40, Issue. 15, p. 5799.

Cooke, Colin L. V. and Scott, K. Andrea 2019. Estimating Sea Ice Concentration From SAR: Training Convolutional Neural Networks With Passive Microwave Data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, Issue. 7, p. 4735.

Asadi, Nazanin Scott, Andrea and Clausi, David A. 2019. Data fusion and data assimilation of ice thickness observations using a regularisation framework. Tellus A: Dynamic Meteorology and Oceanography, Vol. 71, Issue. 1, p. 1564487.

Melsom, Arne Palerme, Cyril and Müller, Malte 2019. Validation metrics for ice edge position forecasts. Ocean Science, Vol. 15, Issue. 3, p. 615.

Smith, Gregory C. Allard, Richard Babin, Marcel Bertino, Laurent Chevallier, Matthieu Corlett, Gary Crout, Julia Davidson, Fraser Delille, Bruno Gille, Sarah T. Hebert, David Hyder, Patrick Intrieri, Janet Lagunas, José Larnicol, Gilles Kaminski, Thomas Kater, Belinda Kauker, Frank Marec, Claudie Mazloff, Matthew Metzger, E. Joseph Mordy, Calvin O’Carroll, Anne Olsen, Steffen M. Phelps, Michael Posey, Pamela Prandi, Pierre Rehm, Eric Reid, Phillip Rigor, Ignatius Sandven, Stein Shupe, Matthew Swart, Sebastiaan Smedstad, Ole Martin Solomon, Amy Storto, Andrea Thibaut, Pierre Toole, John Wood, Kevin Xie, Jiping and Yang, Qinghua 2019. Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season. Frontiers in Marine Science, Vol. 6, Issue. ,

Mile, Máté Randriamampianina, Roger Marseille, Gert‐Jan and Stoffelen, Ad 2021. Supermodding – A special footprint operator for mesoscale data assimilation using scatterometer winds. Quarterly Journal of the Royal Meteorological Society, Vol. 147, Issue. 735, p. 1382.

Mile, Máté Azad, Roohollah and Marseille, Gert‐Jan 2022. Assimilation of Aeolus Rayleigh‐Clear Winds Using a Footprint Operator in AROME‐Arctic Mesoscale Model. Geophysical Research Letters, Vol. 49, Issue. 10,

Asadi, Nazanin Lamontagne, Philippe King, Matthew Richard, Martin and Scott, K. Andrea 2022. Probabilistic spatiotemporal seasonal sea ice presence forecasting using sequence-to-sequence learning and ERA5 data in the Hudson Bay region. The Cryosphere, Vol. 16, Issue. 9, p. 3753.

Luo, Hao Yang, Qinghua Mazloff, Matthew and Chen, Dake 2023. A Balanced Atmospheric Ensemble Forcing for Sea Ice Modeling in Southern Ocean. Geophysical Research Letters, Vol. 50, Issue. 5,

Chen, Siwen Li, Kehan Fu, Hongpeng Wu, Ying Cheng and Huang, Yiyi 2023. Sea Ice Extent Prediction with Machine Learning Methods and Subregional Analysis in the Arctic. Atmosphere, Vol. 14, Issue. 6, p. 1023.

Mile, Máté Guedj, Stephanie and Randriamampianina, Roger 2024. Exploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation system. Geoscientific Model Development, Vol. 17, Issue. 17, p. 6571.

Rusin, Jozef Doulgeris, Anthony P. Scott, K. Andrea Lavergne, Thomas and Taelman, Catherine 2025. High Resolution Sea Ice Concentration Using a Sentinel-1 U-Net Ice-Water Classifier. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 18, Issue. , p. 9380.

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