Milestone:

• Initial prototype of models completed with one input data source and one output prediction in place running off the framework of the existing IceNet architecture.
• A minimal viable pipeline with configurable paths developed.
• In parallel, one model in place for gridded data with capability to process non-gridded data.
• Survey completed for multimodal framework.

What success looks like:

• Inputs are realistic versions of gridded and non-gridded data (potentially synthetic).
• Re-using code from IceNet
• The pipeline runs without error
• Forecasts recreate training data groundtruth (e.g. OSISAF used for training) better than the persistence model.
• The pipeline is flexibly switching between models