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Kalman Filter Techniques for the Assimilation of Ice Concentration Data into an Ice Prediction Model


NASAThis 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

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