This project is funded by NASA through the UCAR Visiting Scientist Program

Objective

To assimilate observed sea ice concentrations from passive microwave imagery into a simple sea ice model

Collaborators

Walt Meier, Mingrui Dai (UCAR Visiting Scientist), and M. Van Woert (NSF)

Project Summary

A Kalman filter method has been developed to assimilate observed sea ice concentrations from passive microwave imagery into a simple sea ice model. The model physics include free drift dynamics and a simple heat transfer model. Even with a simple model, the Kalman filter produces improved skill scores of ice forecasts over a 30-day period. The model development is ongoing and improved thermodynamics as well as a more sophisticated dynamics treatment is planned.

Related Resources

None

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