Publications by authors named "Lorenzo Zampieri"
An Assessment of Subseasonal Prediction Skill of the Antarctic Sea Ice Edge.
J Geophys Res Oceans
November 2024
Article Synopsis
- This study evaluated the prediction skill of Antarctic sea ice edge forecasts using a metric called spatial probability score (SPS) from the Copernicus Climate Change Service and Subseasonal to Seasonal projects.
- It found that sea ice predictions can remain accurate for up to 38 days, with better predictions in the West Antarctic than the East, and noted that seasonal prediction skill varies based on the specific dynamical system used.
- Key factors affecting prediction skill include the model initialization and physics, and creating a multi-model forecast showed improved accuracy compared to using individual models.