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Long Term Goals NIC: –global automated product as guidance to analyst and as initialization for PIPS DMI: –extend spatial range and improve accuracy of.

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Presentation on theme: "Long Term Goals NIC: –global automated product as guidance to analyst and as initialization for PIPS DMI: –extend spatial range and improve accuracy of."— Presentation transcript:

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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