Paper
8 March 2017 Measuring raindrops using a precipitation micro-physical characteristics sensor
Author Affiliations +
Proceedings Volume 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016; 1025539 (2017) https://doi.org/10.1117/12.2266969
Event: Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 2016, Jinhua, Suzhou, Chengdu, Xi'an, Wuxi, China
Abstract
Aiming at the simultaneous measurement of the size, shape, fall velocity of precipitation particles, a ground-based optical instrument, the precipitation micro-physical characteristics sensor (PMCS) was developed, it can record the double-exposure image of each particle in a single frame, by which the size, equivalent diameter, axis ratio of raindrops can be calculated, its fall velocity can be calculated according to its displacement and time interval. The PMCS is calibrated by some glass balls with certain diameters in sunny, cloudy, and night conditions, based on which a fitted relationship between the threshold and image area is obtained and used to ensure the measurement accuracy of raindrop sizes. The field measurement of PMCS has obtained plenty of raindrops images, based on which the shape, axis ratio, and fall velocity of raindrops were calculated and discussed. The typical shape of large raindrop takes on an oblate ellipsoid with a flatter base and a more raised top, the axis ratio of raindrops decrease linearly with the increasing of diameter, the fall velocity of raindrops increases exponentially with the increasing of the diameter, and above observed data are in good agreement with the empirical model. These results validate the performance of PMCS, which can be widely applied for interpreting weather radar data, investigating regional precipitation features, and studying the physical process of precipitation.
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Xichuan Liu, Yuntao Hu, Taichang Gao, and Xiaojian Shu "Measuring raindrops using a precipitation micro-physical characteristics sensor", Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 1025539 (8 March 2017); https://doi.org/10.1117/12.2266969
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KEYWORDS
Particles

Calibration

Image sensors

Sensors

Data modeling

Digital image processing

Glasses

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