Classification of precipitation types using fall velocity-diameter relationships from 2D-video distrometer measurements

NCUIR > College of Earth Sciences > Department of Atmospheric Sciences > journal & Dissertation > Item 987654321/100581

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/100581

Title:	Classification of precipitation types using fall velocity-diameter relationships from 2D-video distrometer measurements
Authors:	林沛練;Lee, Jeong-Eun;Jung, Sung-Hwa;Park, Hong-Mok;Kwon, Soohyun;Lin, Pay-Liam;Lee, GyuWon
Contributors:	地球科學學院大氣科學學系
Keywords:	Algorithms;Atmospheric Sciences;Classification;Crystals;Dendrites;Earth and Environmental Science;Earth Sciences;Geophysics/Geodesy;Ice;Meteorology;Precipitation;Rain;Snow;Studies;人工分类;分类算法;水凝物;测量速度;直径;视频;降水类型
Date:	2015-09-23
Issue Date:	2026-04-21 14:07:28 (UTC+8)
Publisher:	Science Press;Heidelberg: Science Press
Abstract:	摘要： Fall velocity–diameter relationships for four different snowflake types（dendrite,plate,needle,and graupel） were investigated in northeastern South Korea,and a new algorithm for classifying hydrometeors is proposed for distrometric measurements based on the new relationships.Falling ice crystals（approximately 40 000 particles） were measured with a two-dimensional video disdrometer（2DVD） during a winter experiment from 15 January to 9 April 2010.The fall velocity–diameter relationships were derived for the four types of snowflakes based on manual classification by experts using snow photos and 2DVD measurements：the coefficients（exponents） for different snowflake types were 0.82（0.24） for dendrite,0.74（0.35） for plate,1.03（0.71） for needle,and 1.30（0.94） for graupel,respectively.These new relationships established in the present study（PS） were compared with those from two previous studies.Hydrometeor types were classified with the derived fall velocity–diameter relationships,and the classification algorithm was evaluated using 3 × 3 contingency tables for one rain–snow transition event and three snowfall events.The algorithm showed good performance for the transition event：the critical success indices（CSIs） were 0.89,0.61 and 0.71 for snow,wet-snow and rain,respectively.For snow events,the algorithm performance for dendrite and plate（CSIs = 1.0 and 1.0,respectively） was better than for needle and graupel（CSIs = 0.67 and 0.50,respectively）. 其他題名： Adv. Atmos. Sci 其他題名： Advances in Atmospheric Sciences 出版者： Heidelberg: Science Press 出版日期： 2015-09-01 出處： Advances in atmospheric sciences, 2015-09, Vol.32 (9), p.1277-1290 資源來源： China Online Journals (COJ) 版權： Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag Berlin Heidelberg 2015 版權： Copyright © Wanfang Data Co. Ltd. All Rights Reserved. 識別號： ISSN: 0256-1530 識別號： EISSN: 1861-9533 識別號： DOI: 10.1007/s00376-015-4234-4
Appears in Collections:	[Department of Atmospheric Sciences] journal & Dissertation

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