Abstract
Abstract. Improved snowfall predictions require accurate knowledge of the
properties of ice crystals and snow particles, such as their size,
cross-sectional area, shape, and fall speed.
The fall speed of ice particles is a critical
parameter for the representation
of ice clouds and snow in atmospheric numerical
models, as it determines the rate of
removal of ice from the modelled clouds.
Fall speed is also required for snowfall predictions alongside
other properties such as ice particle size,
cross-sectional area, and shape. For example,
shape is important as it strongly influences the
scattering properties of these ice particles and thus their
response to remote sensing techniques. This work analyzes fall speed as a function of particle size (maximum dimension),
cross-sectional area, and
shape using ground-based in situ
measurements. The measurements for this study were done in Kiruna, Sweden, during
the snowfall seasons of 2014 to 2019, using the ground-based in situ
instrument Dual Ice Crystal Imager (D-ICI).
The resulting data consist of high-resolution images of falling hydrometeors
from two viewing geometries that are used to
determine particle size (maximum dimension), cross-sectional area,
area ratio, orientation, and the fall speed of individual
particles.
The selected dataset covers sizes from about 0.06 to 3.2 mm and fall
speeds from 0.06 to 1.6 m s−1. Relationships between particle
size, cross-sectional area, and fall speed are studied for different shapes. The data show in general low correlations to fitted fall speed relationships
due to large spread observed in fall speed.
After binning the data according to size or cross-sectional area,
correlations improve, and we can report reliable parameterizations
of fall speed vs. particle size or cross-sectional area for part of the shapes.
For most of these shapes, the fall speed is better correlated with cross-sectional
area than with particle size.
The effects of orientation and area ratio on the fall speed are also
studied, and measurements show that vertically oriented particles fall faster on average. However, most
particles for which orientation can be defined fall
horizontally.
Cited by
14 articles.
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