The optical properties of atmospheric ice crystals of arbitrary shape by the set of 500 particles

2021 ◽  
Author(s):  
Nadezhda Kan ◽  
Ilya V. Tkachev ◽  
Alexander V. Konoshonkin ◽  
Victor A. Shishko ◽  
Dmitry N. Timofeev ◽  
...  
2016 ◽  
Author(s):  
Alexander V. Konoshonkin ◽  
Natalia V. Kustova ◽  
Sergey V. Nasonov ◽  
Ilia D. Bryukhanov ◽  
Viktor A. Shishko ◽  
...  

2000 ◽  
Vol 105 (D8) ◽  
pp. 10063-10079 ◽  
Author(s):  
J. E. Kristjánsson ◽  
J. M. Edwards ◽  
D. L. Mitchell

Author(s):  
Ping Yang ◽  
Lei Bi ◽  
Zhaokai Meng ◽  
George W. Kattawar ◽  
Bryan A. Baum ◽  
...  

2012 ◽  
Vol 29 (1) ◽  
pp. 50-63 ◽  
Author(s):  
Xiaodong Liu ◽  
Shouguo Ding ◽  
Lei Bi ◽  
Ping Yang

Abstract Nonspherical ice crystal optical properties are of fundamental importance to atmospheric radiative transfer through an ice cloud and the remote sensing of its properties. In practice, the optical properties of individual ice crystals need to be integrated over particle size distributions to derive the bulk optical properties of ice clouds. Given a particle size distribution represented in terms of size bins, the conventional approach uses the microphysical and optical properties of ice crystals at the bin centers as approximations to the bin-averaged values. However, errors are incurred when the size bins are large. To reduce the potential errors, a kernel technique is utilized to calculate the bulk optical properties of ice clouds by computing the bin-averaged values instead of using the bin-center values. Comparisons between the solutions based on the conventional method and the kernel technique for different numbers of size bins from in situ measurements demonstrate that the results computed from the kernel technique are more accurate. The present study illustrates that, for a given size distribution, 40 or more size bins should be used to calculate the bulk optical properties of ice clouds by the conventional method. Although the accuracy of bulk-scattering properties can be improved by using fine bin resolutions in the single-scattering property computation, the advantage of using a precomputed database of scattering kernels allows efficient computation of ice cloud bulk optical properties without losing the accuracy.


1994 ◽  
Vol 33 (33) ◽  
pp. 7740 ◽  
Author(s):  
Michael Hess ◽  
Matthias Wiegner

2015 ◽  
Author(s):  
Marco Arienti ◽  
Xiaoyuan Yang ◽  
Adrian M Kopacz ◽  
Manfred Geier

2016 ◽  
Author(s):  
A. M. Fridlind ◽  
R. Atlas ◽  
B. van Diedenhoven ◽  
J. Um ◽  
G. M. McFarquhar ◽  
...  

Abstract. Single-crystal images collected in mid-latitude cirrus are analyzed to provide internally consistent ice physical and optical properties for a size-resolved cloud microphysics model, including single-particle mass, projected area, fall speed, capacitance, single-scattering albedo, and asymmetry parameter. Using measurements gathered during two flights through a widespread synoptic cirrus shield, bullet rosettes are found to be the dominant identifiable habit among ice crystals with maximum dimension (Dmax) greater than 100 μm. Properties are therefore first derived for bullet rosettes based on measurements of arm lengths and widths, then for aggregates of bullet rosettes and for unclassified (irregular) crystals. Derived bullet rosette masses are substantially greater than reported in existing literature, whereas measured projected areas are similar or lesser, resulting in factors of 1.5–2 greater fall speeds, and, in the limit of large Dmax, near-infrared single-scattering albedo and asymmetry parameter (g) greater by ~ 0.2 and 0.05, respectively. A model that includes commonly imaged side plane growth on bullet rosettes exhibits relatively little difference in microphysical and optical properties aside from ~ 0.05 increase in mid-visible g primarily attributable to plate aspect ratio. In parcel simulations, ice size distribution and g are sensitive to assumed ice properties.


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