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Identifying Supercooled Liquid Water in Cloud Based on Airborne Observations: Correlation of Cloud Particle Number Concentration with Icing Probability and Proportion of Spherical Particles

Identifying Supercooled Liquid Water in Cloud Based on Airborne Observations:Correlation of Cloud Particle Number Concentration with Icing Probability and Proportion of Spherical Particles

作     者:Yuquan ZHOU Can SONG Miao CAI Siyao LIU Yang GAO Rong ZHANG Yuquan ZHOU;Can SONG;Miao CAI;Siyao LIU;Yang GAO;Rong ZHANG

作者机构:CMA Cloud–Precipitation Physics and Weather Modification Key Laboratory(CPML)Beijing 100081 Weather Modification Center of Henan ProvinceZhengzhou 450000 College of Global Change and Earth System ScienceBeijing Normal UniversityBeijing 100875 

出 版 物:《Journal of Meteorological Research》 (气象学报(英文版))

年 卷 期:2022年第36卷第4期

页      面:574-585页

核心收录:

学科分类:07[理学] 070601[理学-气象学] 08[工学] 0706[理学-大气科学] 0825[工学-航空宇航科学与技术] 

基  金:Supported by the National Key Research and Development Program of China(2016YFA0601701) Fengyun Application Pioneering Project(FY-APP-2021.0102) National High Technology Research and Development Program of China(2012AA120902) 

主  题:supercooled liquid water(SLW) icing probability cloud particle shape cloud particle number concentration 

摘      要:Identifying supercooled liquid water(SLW)in clouds is critical for weather modification,aviation safety,and atmospheric radiation ***,aircraft identification in the SLW area mostly depends on emprical estimation of cloud particle number concentration(N_(c))in China,and scientific verification and quantitative identification criteria are urgently *** this study,the observations are from the Fast Cloud Droplets Probe,Rosemount ice detector(RICE),and Cloud Particle Imager(CP_(i))onboard a King Air aircraft during seven flights in 2018 and 2019 over central and eastern *** on this,the correlation among N_(c),the proportion of spherical particles(P_(s)),and the probability of icing(P_(i))in supercooled stratiform and cumulus-stratus clouds is statistically ***,this study proposes a method to identify SLW areas using N_(c) in combination with ambient *** reliability of this method is evaluated through the true skill statistics(TSS)and threat score(TS)*** airborne observations during the seven flights reveal a strong correlation among Nc,P_(s),and P_(i)at the temperature from 0 to−18°*** Nc is greater than a certain threshold of 5 cm^(−3),there is always the SLW,i.e.,P_(i)and P_(s)are *** results demonstrate that the TSS and TS values for Nc=5 cm^(−3)are higher than those for Nc5 cm^(−3))corresponds to a higher SLW identification hit rate and a higher SLW ***,Nc=5 cm^(−3)can be used as the minimum criterion for identifying the SLW in clouds at temperature lower than 0°*** SLW identification method proposed in this study is especially helpful in common situations where aircraft are equipped with only Nc probes and without the CP_(i)and RICE.

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