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@rgrumbine Here is the paper I mentioned in the meeting today:
Urrego-Blanco, J. R., E. C. Hunke, N. M. Urban, N. Jeffery, A. K. Turner, J. R. Langenbrunner, and J. M. Booker (2017), Validation of sea ice models using an uncertainty-based distance metric for multiple model variables, J. Geophys. Res. Oceans, 122, doi:10.1002/2016JC012602.?
Excellent! I've done a quick glance through, and it doesn't look like there would be any difficulty in adapting/adding this measure in to the setup I already have.
Particularly important/useful is considering the Pareto front. Mention of that also puts me in mind of evolutionary methods for multiobjective optimisation.
For ice drift/motion evaluation, I considered 13 different measures in https://polar.ncep.noaa.gov/mmab/papers/tn315/ and arrived at 5 being meaningful and independent. For favorite, error radius. Codes still compute all 13.
A starting point for consideration is at https://github.com/rgrumbine/ice_scoring
This is organized largely by parameter to be examined -- concentration field, ice edge, ice drift being the most developed.
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