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《大气和海洋科学快报(英文版)》 2014-06
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An Optical Disdrometer for Measuring Present Weather Parameters

JIA Sheng-Jie;Lü Da-Ren;XUAN Yue-Jian;Key Laboratory of Middle Atmosphere and Global Environment Observation,Institute of Atmospheric Physics,Chinese Academy of Science;University of Chinese Academy of Sciences;  
A new present weather identifier(PWI) based on occlusion and scattering techniques is presented in the study. The present weather parameters are detectable by the meteorological optical range(MOR) approximately up to 50 km and by droplets with diameters ranging from 0.125 mm to 22 mm with velocities up to 16 m s-1. The MOR error is less than 8% for the MOR within 10 km and less than 15% for farther distances. Moreover, the size errors derived from various positions of the light sheet by the particles were checked within ± 0.1 mm ± 5%. The comparison shows that the MOR, in a sudden shower event, is surprisingly consistent with those of the sentry visibility sensors(SVS) with a correlation coefficient up to 98%. For the rain amounts derived from the size and velocity of the droplets, the daily sums by the PWI agree within 10% of those by the Total Rain Weighing Sensor(TRwS205) and the rain gauge. Combined with other sensors such as temperature, humidity, and wind, the PWI can serve as a present weather sensor to distinguish several weather types such as fog, haze, mist, rain, hail, and drizzle.
【Fund】: supported by Automatic Observation System for Cloud Visibility and Weather Phenomena (Grant No. GYHY200806031);; Carbon Satellites Verification Systems and Comprehensive Observations (Grant Nos. GJHZ1207 and XDA05040302)
【CateGory Index】: P412
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 JIA Sheng-Jie;Lü Da-Ren;Key Laboratory of Middle Atmosphere and Global Environment Observation,Institute of Atmospheric Physics,Chinese Academy of Science;University of Chinese Academy of Sciences;;Optimal Forward-Scattering Angles of Atmospheric Aerosols in North China[J];大气和海洋科学快报(英文版);2014-03
【Co-citations】
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1 LIU Chu-yi;RUAN Zheng;XIE Lei;YANG Liao;School of Electronic Engineering,Chengdu University of Information Technology;State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences;;The Method of Precipitation back Signals Estimate M-P Distribution Raindrop Parameters[J];Journal of Chengdu University of Information Technology;2014-03
2 Liu Xi-Chuan;Gao Tai-Chang;Liu Lei;Zhai Dong-Li;College of Meteorology and Oceanography,PLA University of Science and Technology;Ying EnTe Environment Technique Co.LTD;;Research on microphysical property of raindrops based on particle imaging velocimetry technology[J];Acta Physica Sinica;2014-02
3 Liu Xi-Chuan;Gao Tai-Chang;Liu Lei;Zhai Dong-Li;College of Meteorology and Oceanography, PLA University of Science and Technology;Ying EnTe Environment Technique Co. LTD;;Research on microphysical property of snowfall based on particle imaging velocimetry technology[J];Acta Physica Sinica;2014-19
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