17 citations as recorded by crossref.

1. Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU’s Horizon 2020 Programme M. Mäkynen et al. https://doi.org/10.3390/rs12071214
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3. An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport T. Bilge et al. https://doi.org/10.3390/jmse10020265
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5. Edge displacement scores A. Melsom https://doi.org/10.5194/tc-15-3785-2021
6. Assessment of predictability of the Loop Current in the Gulf of Mexico from observing system experiments and observing system simulation experiments D. Dukhovskoy et al. https://doi.org/10.3389/fmars.2023.1153824
7. Assessment of High‐Resolution Dynamical and Machine Learning Models for Prediction of Sea Ice Concentration in a Regional Application S. Fritzner et al. https://doi.org/10.1029/2020JC016277
8. MET-AICE v1.0: an operational data-driven sea ice prediction system for the European Arctic C. Palerme et al. https://doi.org/10.5194/gmd-18-9751-2025
9. Passive Microwave Sea Ice Edge Displacement Error over the Eastern Canadian Arctic for the period 2013-2021 A. Soleymani et al. https://doi.org/10.1080/07038992.2023.2205531
10. Comparing Arctic Sea Ice Model Simulations to Satellite Observations by Multiscale Directional Analysis of Linear Kinematic Features M. Mohammadi-Aragh et al. https://doi.org/10.1175/MWR-D-19-0359.1
11. Improving short-term sea ice concentration forecasts using deep learning C. Palerme et al. https://doi.org/10.5194/tc-18-2161-2024
12. A comparative study of data input selection for deep learning-based automated sea ice mapping X. Chen et al. https://doi.org/10.1016/j.jag.2024.103920
13. Developing a deep learning forecasting system for short-term and high-resolution prediction of sea ice concentration A. Kvanum et al. https://doi.org/10.5194/tc-19-4149-2025
14. Cost–Benefit Analysis of a Trans-Arctic Alternative Route to the Suez Canal: A Method Based on High-Fidelity Ship Performance, Weather, and Ice Forecast Models Z. Li et al. https://doi.org/10.3390/jmse11040711
15. Optimization of the k-nearest-neighbors model for summer Arctic Sea ice prediction Y. Lin et al. https://doi.org/10.3389/fmars.2023.1260047
16. The Nansen Legacy . The Nansen Legacy https://doi.org/10.7557/nlrs.5792
17. Arctic shipping trends during hazardous weather and sea-ice conditions and the Polar Code’s effectiveness M. Müller et al. https://doi.org/10.1038/s44183-023-00021-x