Data from: Machine learning for daily forecasts of Arctic sea-ice motion: an attribution assessment of model predictive skill
Owning Institution: UC San Diego, Research Data Curation Program
About this Collection
With the aim of using machine learning as a tool to predict and understand sea-ice motion in the Arctic on one-day timescales, these data include processed satellite and reanalysis measurements of sea-ice velocity, sea-ice concentration, and wind velocity. Also included are outputs from statistical model predictions. Finally, we include all files required to download and process raw data, run statistical models, and plot analyses of outputs. View this collection on the contributor's website.View our statement on digital primary resources and historical description.
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