Evaluation of the CONCEPTS Sea Ice Forecasts

With the ever-increasing interest in resource exploitation and marine transport in the Arctic there is a mounting need for improved knowledge about the current and future environmental conditions in the Arctic. This need is being addressed in Canada by a tri-ministerial initiative called the Canadian Operational Network of Coupled Environmental PredicTion Systems (CONCEPTS) among Environment Canada (EC), Fisheries and Oceans Canada (DFO), and the Department of National Defence (DND). CONCEPTS, in close collaboration with the French operational oceanographic centre Mercator-Océan, is providing a framework for research and operations on coupled atmosphere-ice-ocean prediction in Canada. Operational activity in CONCEPTS is based on coupling the Canadian atmospheric GEM model with the Mercator ice-ocean forecasting system based on the Nucleus for European Modelling of the Ocean (NEMO) ice-ocean model. The Mercator data assimilation system is based on a multi-variate reduced-order Extended Kalman Filter that assimilates sea level anomaly, sea surface temperature (SST) and in situ temperature and salinity data. Using the Mercator forecasting system, weekly 1/4° resolution global 10-day iceocean forecasts are now being produced as well as daily 10-day forecasts at 1/12° resolution for the Northwest Atlantic. Ice fields are initialized using a 3D variational (3DVAR) ice analysis system that assimilates the manual ice analyses from the Canadian Ice Service (CIS), Radarsat manual analyses as well as AMSR-E data. In addition, a high-resolution regional forecasting system for the Arctic is also under development. This system is initialized using 3DVAR ice analyses on a 5km North American grid (including the western Arctic) and produces daily 48hr ice forecasts. Here, the authors provide an overview of these activities, summarize results to date, and discuss plans for new and future operational systems.

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  • English

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  • Accession Number: 01548726
  • Record Type: Publication
  • Report/Paper Numbers: POAC11-076
  • Files: TRIS
  • Created Date: Dec 23 2014 12:09PM