• Pilot study to derive reconciled estimates of Arctic sea ice volume variability.
  • The study will merge data from the most advanced, recent EO missions, namely ESA’s ERS, EnviSat, CryoSat and SMOS missions, using the best data products from different groups.
  • Identify best methods for merging and validating data.
  • Review and identify all different data products (in situ, satellite observations), models, approaches and methods used nowadays to compute sea-ice volume and mass.
  • Perform an initial inter-comparison exercise with focus on the accuracies and uncertainties of different approaches, the Sea Ice Mass Reconciliation Exercise (SIMRE).
  • SIMRE will explore and demonstrate different possibilities to compute a reconciled estimate (e.g., ensemble approaches, weighted averages, triple collocation) of the sea-ice mass and sea-ice mass multi-decadal evolution based on existing methods, data and models;
  • Prepare for a future, more formal inter-comparison exercise aimed at assessing and reconciling different estimates and move towards a community multi-decadal assessment of ice mass evolution and its impacts;
  • Develop a scientific roadmap for the future evolution of this Theme.
  • Demonstrate the value of better volume estimates for sea ice and ocean modelling and forecasting, and for other stakeholders.