Machine Learning for Daily Forecasts of Arctic Sea Ice Motion: An Attribution Assessment of Model Predictive Skill
Published in Artificial Intelligence for the Earth Systems, 2023
The presence of sea ice affects planetary energy budgets and high-latitude ecosystems, playing a significant role in Earth’s system. Ice-Tethered Profilers (ITPs) are instrumented buoys that enable the collection of sea ice trajectories in the Arctic Ocean. Using this data and reanalysis products, three different machine learning and statistical models are employed to forecast velocities of sea ice and their performances are evaluated. See more at https://doi.org/10.1175/AIES-D-23-0004.1.
Recommended citation: Hoffman, L., Mazloff, M. R., Gille, S. T., Giglio, D., Bitz, C. M., Heimbach, P., & Matsuyoshi, K. (2023). Machine Learning for Daily Forecasts of Arctic Sea Ice Motion: An Attribution Assessment of Model Predictive Skill. Artificial Intelligence for the Earth Systems, 2(4), Article 230004, 230004.
