Graphical Abstract

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Lim, S., D. Moisseev, V. Chandrasekar, and D. R. Lee, 2013: Classification and quantification of snow based on spatial variability of radar reflectivity. J. Meteor. Soc. Japan, 91, 763-774.
https://doi.org/10.2151/jmsj.2013-603
Graphical Abstract

Highlights:

• The proposed classification methodology divides snow particle types into crystals, aggregates, rimed snow and high density snow (graupel). Differently from other classification schemes presented in literature, the method uses spatial continuity of the radar reflectivity field as well as reflectivity observations.
• The method uses snow type identification to guide the choice of the particular parameters of power law relations of equivalent radar reflectivity factor-liquid equivalent snow rate. This technique can reduce variation of quantitative snowfall estimation due to difference in physical properties of snow particles (Fig. 1).