Quantitative classification of cloud microphysical imagery via fractal dimension calculations

I recently referred to a paper I wrote for a Fractals in Engineering conference in the mid-90s:

I did lead a project at KelResearch where our objective was to classify hydrometeors (i.e., raindrops, snowflakes, etc.). The hydrometeors were observed in situ by a sensor deployed on the wing of an airplane. Data was collected as the plane flew through winter storms. (Many of these campaigns were spearheaded by Prof. R. E. Stewart.) What we attempted to do was automate the classification of the hydrometeors on the basis of their shape. More specifically, we attempted to estimate the fractal dimension of each observed hydrometeor in the hopes of providing at automated classification scheme. Although this was feasible in principle, the resolution offered by the sensor made this impractical.

I’ve now added the citation and paper to my publications list.

I expect to revisit this paper soon … stay tuned.


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