WP 2: Monitoring and forecasting:

• Task 2.1: Optimal retrieval, characterization and synergy of remote sensing data

  The main source of observation coverage for regular monitoring of both sea ice and sea surface temperature (SST) is satellites.

• Task 2.2: Optimized methods for data assimilation

  To produce good ice and ocean forecasts with a model it is not only important that the forcing from the atmosphere is well described. The forecast quality is also dependent on a good estimate of the initial state through data assimilation.

• Task 2.3: Sea ice modeling

  The quality of the final analyzed product in a monitoring system is influenced by the quality of the atmospheric forcing fields, observations, the assimilation methods and the underlying models in such a way that weaknesses in one component can degenerate the final product.