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Enhancing Arctic Ice Extent Predictions: Leveraging Time Series Analysis and Deep Learning Architectures
- Benoit Ahanda,
- Caleb Brinkman,
- Ahmet Güler and
- Türkay Yolcu
With ongoing climate transformations, reliable Arctic sea ice forecasts are essential for understanding impacts on shipping, ecosystems, and climate teleconnections. This research examines physics-free neural architectures versus physics-informed sta...

