zenodoopen
TOPAZ4-ML Sea Ice Thickness (1992-2022)
<p> </p> <p>Subject: Natural sciences, Field: Earth Science, Subfield: Oceanography</p> <p>Key words: sea ice, thickness, Arctic, TOPAZ, machine learning, data assimilation</p> <p> </p> <p>The scientific manuscript associated to the dataset is:</p> <p>https://doi.org/10.5194/tc-19-731-2025</p> <p> </p> <p>The dataset can be visualized as an animation using the following link:</p> <p><a href="https://av.tib.eu/media/68161" target="_blank" rel="noopener">https://av.tib.eu/media/68161 (https://doi.org/10.5446/68161)</a></p> <p>or:</p> <p>https://www.youtube.com/watch?v=UPPcJXfNMbY (faster)</p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 12
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 4
- Engagement
- 8