Texture operator for snow particle classification into snowflake and graupel

2012 ◽  
Vol 118 ◽  
pp. 121-132 ◽  
Author(s):  
Karolina Nurzyńska ◽  
Mamoru Kubo ◽  
Ken-ichiro Muramoto
2010 ◽  
Vol E93-D (12) ◽  
pp. 3344-3351 ◽  
Author(s):  
Karolina NURZYNSKA ◽  
Mamoru KUBO ◽  
Ken-ichiro MURAMOTO

Fuel ◽  
2021 ◽  
Vol 299 ◽  
pp. 120888
Author(s):  
Yanchun Feng ◽  
Shaoping Xu ◽  
Chao Wang

1989 ◽  
Vol 04 (14) ◽  
pp. 1381-1387 ◽  
Author(s):  
R. DELBOURGO

We show that five complex anticommuting coordinates are sufficient to describe the present particle spectrum, including the possibility of understanding the generation problem.


2016 ◽  
Vol 28 (3) ◽  
pp. 219-231
Author(s):  
Susanne Ingvander ◽  
Peter Jansson ◽  
Ian A. Brown ◽  
Shuji Fujita ◽  
Shin Sugyama ◽  
...  

AbstractIn this study, snow particle size variability was investigated along a transect in Dronning Maud Land from the coast to the polar plateau. The aim of the study was to better understand the spatial and temporal variations in surface snow properties. Samples were collected twice daily during a traverse in 2007–08 to capture regional variability. Local variability was assessed by sampling in 10×10 m grids (5 m spacing) at selected locations. The particle size and shape distributions for each site were analysed through digital image analysis. Snow particle size variability is complex at different scales, and shows an internal variability of 0.18–3.31 mm depending on the sample type (surface, grid or pit). Relationships were verified between particle size and both elevation and distance to the coast (moisture source). Regional seasonal changes were also identified, particularly on the lower elevations of the polar plateau. This dataset may be used to quantitatively analyse the optical properties of surface snow for remote sensing. The details of the spatial and temporal variations observed in our data provide a basis for further studies of the complex and coupled processes affecting snow particle size and the interpretation of remote sensing of snow covered areas.


2014 ◽  
Vol 119 (16) ◽  
pp. 9901-9913 ◽  
Author(s):  
Kouichi Nishimura ◽  
Chika Yokoyama ◽  
Yoichi Ito ◽  
Masaki Nemoto ◽  
Florence Naaim-Bouvet ◽  
...  
Keyword(s):  

1993 ◽  
Vol 18 ◽  
pp. 149-154 ◽  
Author(s):  
Takeshi Sato ◽  
Tadashi Kimura ◽  
Taminoe Ishimaru ◽  
Toshisuke Maruyama

The optical system of the snow-particle counter (SPC), which was developed by Schmidt in 1977, has been improved. A laser diode is used as a light source, achieving uniform sensitivity to a blowing snow particle regardless of the location of particle trajectory within a sampling volume. The light entering a slit, which may be affected by a blowing snow particle, is perfectly detected by use of a piano-cylindrical lens and a dual-type photodiode. A signal processor has been developed to get output voltage proportional to the mass flux of blowing snow.From the estimates based on blowing snow characteristics and wind speed profile, the new SPC system can accurately detect all the particles of effective sizes at least at a height above 0.1 m when the wind speed at a height of 1 m is less than 15 m s−1.Considering the Fraunhofer diffraction by both the wire and the particle, the relation between a particle diameter and sensor output of the new SPC system is derived from the calibration with spinning wires.Mass flux obtained with the new SPC system was found to be close to that with a snow trap. The system was operated continuously for at least nine days using two 35 A h lead batteries.


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