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The Characteristics of Raindrop Size Distribution at Windward and Leeward Side over Mountain Areaopen access

Authors
Kim, Hyeon-JoonJung, WoonseonSuh, Sung-HoLee, Dong-InYou, Cheol-Hwan
Issue Date
May-2022
Publisher
MDPI
Keywords
raindrop size distribution; orographic rainfall; disdrometer; dual-polarization parameter
Citation
REMOTE SENSING, v.14, no.10
Journal Title
REMOTE SENSING
Volume
14
Number
10
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61337
DOI
10.3390/rs14102419
ISSN
2072-4292
2072-4292
Abstract
To analyze the difference in the microphysical development characteristics of orographic rainfall, several Parsivel disdrometers were installed along the windward and leeward slope of a mountain. There were differences in the raindrop size distribution according to the difference in height and distance from the center of the mountain. In low-altitude coastal areas and adjacent areas, the number concentration of raindrops smaller than 1 mm was relatively lower than in mountainous areas, and the rain rate increased with the growth in the size of the raindrops. On the other hand, a higher rain rate was observed as the number concentration of raindrops smaller than 1 mm increased in the hillside area. The increase in the number concentration of small raindrops was evident at the LCL (lifting condensation level) altitude. The main factors affecting the increase in the rain rate on the windward and leeward slopes were the concentration of raindrops and the growth of raindrops, which showed regional differences. As a result of a PCA (principal component analysis), it was found that raindrop development by vapor deposition and weak convection were the main rainfall development characteristics on the windward and leeward slopes, respectively. The difference in regional precipitation development characteristics in mountainous areas affects the parameters of the rainfall estimation relational expression. This means that the rainfall relation calculated through the disdrometer observation data observed in a specific mountainous area can cause spatial and quantitative errors.
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