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Long Term Goals

Long Term Goals. NIC: global automated product as guidance to analyst and as initialization for PIPS DMI: extend spatial range and improve accuracy of regional model automatic ice edge detection from SAR using data fusion Norway:

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Long Term Goals

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  1. Long Term Goals • NIC: • global automated product as guidance to analyst and as initialization for PIPS • DMI: • extend spatial range and improve accuracy of regional model • automatic ice edge detection from SAR using data fusion • Norway: • to develop a high resolution (1 km) analysis and forecast system for the Svalbard area • Canada: • to provide primarily automated analyses and forecasts over all operational areas, with requirement for minimal intervention from forecasters in high priority areas

  2. Individual Goals to Report for Next Meeting • Canada • extend statistical interpolation to include ssmi • evaluate relative weighting of model and daily ice charts • assimilate image analysis charts • Denmark • improve SAR ice edge detection

  3. Individual Goals to Report for Next Meeting • Norway • high resolution (1-5 km) model around Svalbard • nested system for driving high res model with output from low res model • United States • evaluate simple variational data assimilation model • transition PIPS 3.0 and start collecting a dataset for evaluation

  4. Individual Goals to Report for Next Meeting • Russia • adopt a model for Tatar Strait • estimate ice parameters that aren’t observed but impact offshore structures • diagnostic model of ice dynamics including inhomogeneous fields of thickness, etc. • assimilation of ice charts

  5. Actions • Distribute information on the NASA Data Assimilation Workshop for sea ice at Wood’s Hole to other members of science committee. Responsible: Mike Van Woert • Report on NASA Data Assimilation Workshop. Responsible: Mike Van Woert • IICWG recommends converting sea ice model output in a common data format netCDF in order to share/exchange data. Responsible: members of science committee • Investigate the possibility of direct assimilation of passive microwave radiances, scatterometer backscatter, infrared radiances, visible reflectance. Responsible: members of science committee

  6. Actions • In order to develop a structure to collaboration, identify national science leads: • United States: Mike Van Woert • Norway: Lars-Anders Breivik • Canada: Tom Carrieres • Denmark: Rashpal Gill • Russia: Sergey Klyachkin • Responsible: other IICWG national reps • Focus of next science workshop will continue to emphasize modelling/data assimilation: • advanced tutorials on models, satellite algorithms and data assimilation • model performance information incorporating guidance from CJRS paper • Responsible: science committee • Recommend that national model leads should attend and present latest results: IICWG members

  7. Actions • White Paper: • finalize and publish the White Paper on Data Assimilation under an official publication. Responsible: Tom Carrieres, Lars-Anders Breivik • provide national input to data, models and data assimilation inventory, national input to modelling system requirements, and further comment. Responsible: IICWG members and more specifically input from Baltic Sea Ice Services

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