SNOW PARTICLE SIZE DISTRIBUTION FUNCTION AT SYOWA STATION EVALUATED FROM VTR IMAGE

P(論文) It is very important for meteorological radar observations to know the precipitation particle size distribution functions. In this paper, we report a very simple method to evaluate snow particle size distribution functions using snow particle VTR images, and show our results at Syowa Station,...

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Main Authors: ハタナカ, マサヒコ, オオタ, ヨシユキ, タケヤ, ヒロシ, ニシツジ, アキラ, ワダ, マコト, HATANAKA, Masahiko, OHTA, Yoshiyuki, TAKEYA, Hiroshi, NISHITSUJI, Akira, WADA, Makoto
Language:English
Published: National Institute of Polar Research 1994
Subjects:
Online Access:https://nipr.repo.nii.ac.jp/record/3839/files/KJ00000767947.pdf
https://doi.org/10.15094/00003839
https://nipr.repo.nii.ac.jp/records/3839
_version_ 1829310125261717504
author ハタナカ, マサヒコ
オオタ, ヨシユキ
タケヤ, ヒロシ
ニシツジ, アキラ
ワダ, マコト
HATANAKA, Masahiko
OHTA, Yoshiyuki
TAKEYA, Hiroshi
NISHITSUJI, Akira
WADA, Makoto
author_facet ハタナカ, マサヒコ
オオタ, ヨシユキ
タケヤ, ヒロシ
ニシツジ, アキラ
ワダ, マコト
HATANAKA, Masahiko
OHTA, Yoshiyuki
TAKEYA, Hiroshi
NISHITSUJI, Akira
WADA, Makoto
author_sort ハタナカ, マサヒコ
collection National Institute of Polar Research Repository, Japan
description P(論文) It is very important for meteorological radar observations to know the precipitation particle size distribution functions. In this paper, we report a very simple method to evaluate snow particle size distribution functions using snow particle VTR images, and show our results at Syowa Station, Antarctica. Snow particles on the ground were recorded by a VTR camera set, and the VTR image was digitized and stored on frame memories using a video digitizer board in a personal computer. To avoid the overlap of snow particles and to reduce background offset noise on images, we used subtraction processing between images at different recording times. Next, we obtained projections of this subtracted image in the x and y directions, and determined the position of each particle using back projection processing. Since radar echo from snow is usually analyzed on the assumption that snow particles are spherical, we measured the maximum radius (γ_max) and equivalent radius (γ_area) from the identified individual snow particle images. The former is defined as the maximum diameter through the center of gravity on the particle image, the latter is calculated from its area. In this study, we used two sets of VTR tapes which were recorded at Syowa Station on April 5 and October 1,1988. Using a personal computer, we have counted more than 2500 particles. The obtained distributions, N (γ_max) and N (γ_area), are approximated as straight lines on semi-logarithmic graph paper, N (γ)∿(10)^<-B*γ>. In April, radii of snow particles, which may be graupels, were mainly distributed between 0.2 and 0.6mm, and the exponents (B) of γ_max and γ_area were 42 and 50,respectively. Otherwise, in October, most particles were distributed from 0.1 to 0.5mm, and the exponents of γ_max and γ_area were 62 and 33. We believe that our method is a practical approach for obtaining snow particle size distribution functions. departmental bulletin paper
genre Antarc*
Antarctica
Polar meteorology and glaciology
Proceedings of the NIPR Symposium on Polar Meteorology and Glaciology
genre_facet Antarc*
Antarctica
Polar meteorology and glaciology
Proceedings of the NIPR Symposium on Polar Meteorology and Glaciology
geographic Syowa Station
geographic_facet Syowa Station
id ftnipr:oai:nipr.repo.nii.ac.jp:00003839
institution Open Polar
language English
op_collection_id ftnipr
op_doi https://doi.org/10.15094/00003839
op_relation Proceedings of the NIPR Symposium on Polar Meteorology and Glaciology
8
182
AA10756213
https://nipr.repo.nii.ac.jp/record/3839/files/KJ00000767947.pdf
https://doi.org/10.15094/00003839
https://nipr.repo.nii.ac.jp/records/3839
publishDate 1994
publisher National Institute of Polar Research
record_format openpolar
spelling ftnipr:oai:nipr.repo.nii.ac.jp:00003839 2025-04-13T14:08:07+00:00 SNOW PARTICLE SIZE DISTRIBUTION FUNCTION AT SYOWA STATION EVALUATED FROM VTR IMAGE ハタナカ, マサヒコ オオタ, ヨシユキ タケヤ, ヒロシ ニシツジ, アキラ ワダ, マコト HATANAKA, Masahiko OHTA, Yoshiyuki TAKEYA, Hiroshi NISHITSUJI, Akira WADA, Makoto 1994-11 application/pdf https://nipr.repo.nii.ac.jp/record/3839/files/KJ00000767947.pdf https://doi.org/10.15094/00003839 https://nipr.repo.nii.ac.jp/records/3839 eng eng National Institute of Polar Research Proceedings of the NIPR Symposium on Polar Meteorology and Glaciology 8 182 AA10756213 https://nipr.repo.nii.ac.jp/record/3839/files/KJ00000767947.pdf https://doi.org/10.15094/00003839 https://nipr.repo.nii.ac.jp/records/3839 1994 ftnipr https://doi.org/10.15094/00003839 2025-03-19T10:19:57Z P(論文) It is very important for meteorological radar observations to know the precipitation particle size distribution functions. In this paper, we report a very simple method to evaluate snow particle size distribution functions using snow particle VTR images, and show our results at Syowa Station, Antarctica. Snow particles on the ground were recorded by a VTR camera set, and the VTR image was digitized and stored on frame memories using a video digitizer board in a personal computer. To avoid the overlap of snow particles and to reduce background offset noise on images, we used subtraction processing between images at different recording times. Next, we obtained projections of this subtracted image in the x and y directions, and determined the position of each particle using back projection processing. Since radar echo from snow is usually analyzed on the assumption that snow particles are spherical, we measured the maximum radius (γ_max) and equivalent radius (γ_area) from the identified individual snow particle images. The former is defined as the maximum diameter through the center of gravity on the particle image, the latter is calculated from its area. In this study, we used two sets of VTR tapes which were recorded at Syowa Station on April 5 and October 1,1988. Using a personal computer, we have counted more than 2500 particles. The obtained distributions, N (γ_max) and N (γ_area), are approximated as straight lines on semi-logarithmic graph paper, N (γ)∿(10)^<-B*γ>. In April, radii of snow particles, which may be graupels, were mainly distributed between 0.2 and 0.6mm, and the exponents (B) of γ_max and γ_area were 42 and 50,respectively. Otherwise, in October, most particles were distributed from 0.1 to 0.5mm, and the exponents of γ_max and γ_area were 62 and 33. We believe that our method is a practical approach for obtaining snow particle size distribution functions. departmental bulletin paper Other/Unknown Material Antarc* Antarctica Polar meteorology and glaciology Proceedings of the NIPR Symposium on Polar Meteorology and Glaciology National Institute of Polar Research Repository, Japan Syowa Station
spellingShingle ハタナカ, マサヒコ
オオタ, ヨシユキ
タケヤ, ヒロシ
ニシツジ, アキラ
ワダ, マコト
HATANAKA, Masahiko
OHTA, Yoshiyuki
TAKEYA, Hiroshi
NISHITSUJI, Akira
WADA, Makoto
SNOW PARTICLE SIZE DISTRIBUTION FUNCTION AT SYOWA STATION EVALUATED FROM VTR IMAGE
title SNOW PARTICLE SIZE DISTRIBUTION FUNCTION AT SYOWA STATION EVALUATED FROM VTR IMAGE
title_full SNOW PARTICLE SIZE DISTRIBUTION FUNCTION AT SYOWA STATION EVALUATED FROM VTR IMAGE
title_fullStr SNOW PARTICLE SIZE DISTRIBUTION FUNCTION AT SYOWA STATION EVALUATED FROM VTR IMAGE
title_full_unstemmed SNOW PARTICLE SIZE DISTRIBUTION FUNCTION AT SYOWA STATION EVALUATED FROM VTR IMAGE
title_short SNOW PARTICLE SIZE DISTRIBUTION FUNCTION AT SYOWA STATION EVALUATED FROM VTR IMAGE
title_sort snow particle size distribution function at syowa station evaluated from vtr image
url https://nipr.repo.nii.ac.jp/record/3839/files/KJ00000767947.pdf
https://doi.org/10.15094/00003839
https://nipr.repo.nii.ac.jp/records/3839