1992
DOI: 10.2151/jmsj1965.70.1_1
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Observations of the Falling Motion of Plate-Like Snow Crystals Part I: The Free-Fall Patterns and Velocity

Abstract: Free-fall patterns and the variations in the vertical and horizontal velocities of unrimed plate-like snow crystals were analyzed by means of a stereo-photogrammetric method.Whether the crystals exhibit a stable falling motion or not mainly depends on the Best number, which involves the mean vertical velocity (fall velocity), and the non-dimensional moment of inertia of the crystals.Unstable fall patterns were roughly classified into three types: nonrotation, swing, and rotation or spiral. For dendritic shaped… Show more

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Cited by 34 publications
(36 citation statements)
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“…In contrast to this, the velocity distribution for specularly reflecting crystals shows a rather weaker variation with temperature, with average crystal fall speeds increasing from 0.25 m s −1 at −35 • C to 0.3 m s −1 at −15 • C; there appears to be a slight broadening of the distribution for the warmest clouds, with an average velocity of 0.4 m s −1 at −5 • C. Possibly this corresponds to planar crystals formed at the mid-levels, which thicken as they fall into air temperatures characteristic of columnar growth, increasing their weight relative to their drag and allowing them to sediment more quickly for a given Reynolds number. As in section 4, the mean Doppler velocities and implied crystal Reynolds numbers are lower than the maximum stable values found by Kajikawa (1992) for all assumed crystal types.…”
Section: Fall Speedssupporting
confidence: 44%
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“…In contrast to this, the velocity distribution for specularly reflecting crystals shows a rather weaker variation with temperature, with average crystal fall speeds increasing from 0.25 m s −1 at −35 • C to 0.3 m s −1 at −15 • C; there appears to be a slight broadening of the distribution for the warmest clouds, with an average velocity of 0.4 m s −1 at −5 • C. Possibly this corresponds to planar crystals formed at the mid-levels, which thicken as they fall into air temperatures characteristic of columnar growth, increasing their weight relative to their drag and allowing them to sediment more quickly for a given Reynolds number. As in section 4, the mean Doppler velocities and implied crystal Reynolds numbers are lower than the maximum stable values found by Kajikawa (1992) for all assumed crystal types.…”
Section: Fall Speedssupporting
confidence: 44%
“…If the crystal is inclined at an angle to the horizontal plane, the asymmetrical drag acts to reorient the plate into the horizontal position: this reorientation is stabilised by viscosity, so oscillations around the horizontal are damped, and the particle falls stably and steadily (Willmarth et al, 1964). Measurements of natural ice crystals by Kajikawa (1992) confirm that horizontal orientation occurs for a variety of planar crystal types (all of the P1 and P2 types defined by Magono and Lee, 1966). As the crystals grow even larger, the inertial forces are too strong to be damped, and the horizontal orientation becomes unstable: this initially affects the wake downstream, producing a slow pitching motion, whilst at larger Reynolds number the vortices begin to shed fluid behind the falling crystal, leading to more irregular tumbling motions (Willmarth et al, 1964;Kajikawa, 1992).…”
Section: Review Of Previous Observations and Theorymentioning
confidence: 99%
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“…The polarimetric radar studies of Matrosov et al [2005b] show that the single dendrite shape snowflakes are horizontally aligned in the absence of strong wind and wind shear. According to the study of Sassen [1980], Liou [1986], Kajikawa [1992] and Prigerit et al [2001], the major dimension of the falling cirrus cloud particles is mainly horizontally oriented. Chepfer et al [1999] deduced from measurements of solar reflectance that horizontal ice particle alignment was noticeable in 40% of cirrus clouds.…”
Section: Appendix B: Projected Area Dimensional Relationshipmentioning
confidence: 99%
“…Parameterizations of ice particle fall speeds were determined for specific ice particles and can be found for example in the work of Locatelli and Hobbs (1974) and Kajikawa and Okuhara (1997). Although improvements of parameterizations based on field and laboratory measurements have been reported (Heymsfield and Westbrook 2010), more direct measurements of terminal velocities for a variety of particle types are needed to develop better parameterizations, so that they can be used to improve climate models and the prediction of mass and heat budget based on numerical forecasting models.…”
Section: Introductionmentioning
confidence: 99%