Assessment of OTT-Parsivel2 Raindrop Fall Speed Measurements

IF 1.9 4区 地球科学 Q2 ENGINEERING, OCEAN
Rupayan Saha, F. Testik
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引用次数: 0

Abstract

This study was to assess the raindrop fall speed measurement capabilities of OTT-Parsivel2 disdrometer through comparisons with measurements of a collocated High-speed Optical Disdrometer (HOD). Raindrop fall speed is often assumed to be terminal in relevant hydrological and meteorological applications, and generally predicted using terminal speed - raindrop size relationships obtained from laboratory observations. Nevertheless, recent field studies have revealed that other factors (e.g. wind, turbulence, raindrop oscillations, and collisions) significantly influence raindrop fall speed, necessitating accurate fall speed measurements for many applications instead of reliance on laboratory-based terminal speed predictions. Field observations in this study covered rainfall events with a variety of environmental conditions, including light, moderate, and heavy rainfall events. This study also involved rigorous laboratory experiments to faithfully identify the internal filtering and calculation algorithm of OTT Parsivel2. Our assessments revealed that, for the smaller diameter bins, Parsivel2 filters out many of the observed raindrops that fall faster than predicted terminal speeds, bringing down the mean fall speed for those size bins without observational evidence. Furthermore, Parsivel2 fall speed measurements exhibited a notable artificial bell-shaped deviations from the predicted terminal speeds towards sub-terminal fall starting at around 1 mm diameter raindrops with peak deviations around 1.625 mm diameter bin. Such bell-shaped fall speed deviation patterns were not present in collocated HOD measurements. Assessment results along with the faithfully identified Parsivel2 algorithm are presented with discussions on implications on reported raindrop size distributions (DSD) and rainfall kinetic energy.
ot - parsivel2雨滴下落速度测量的评估
通过与高速光学测速仪(HOD)的对比,对OTT-Parsivel2测速仪测量雨滴下落速度的能力进行了评价。在相关的水文和气象应用中,雨滴下降速度通常被假设为终端,并且通常使用实验室观测得到的终端速度-雨滴大小关系来预测。然而,最近的实地研究表明,其他因素(如风、湍流、雨滴振荡和碰撞)对雨滴下降速度有显著影响,因此在许多应用中需要精确的下降速度测量,而不是依赖于基于实验室的终端速度预测。本研究的野外观测涵盖了各种环境条件下的降雨事件,包括轻度、中度和强降雨事件。本研究还进行了严格的实验室实验,以忠实地识别OTT Parsivel2的内部滤波和计算算法。我们的评估显示,对于较小直径的箱子,Parsivel2过滤掉了许多观测到的雨滴,这些雨滴的下降速度比预测的终端速度快,降低了那些没有观测证据的大小箱子的平均下降速度。此外,Parsivel2下降速度测量结果显示,从直径约1 mm的雨滴开始,到亚末端下降的预测终端速度存在显著的人工钟形偏差,峰值偏差在直径约1.625 mm的桶附近。这种钟形下降速度偏差模式不存在于并置的HOD测量中。给出了评估结果以及忠实识别的Parsivel2算法,并讨论了对报告雨滴大小分布(DSD)和降雨动能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.50
自引率
9.10%
发文量
135
审稿时长
3 months
期刊介绍: The Journal of Atmospheric and Oceanic Technology (JTECH) publishes research describing instrumentation and methods used in atmospheric and oceanic research, including remote sensing instruments; measurements, validation, and data analysis techniques from satellites, aircraft, balloons, and surface-based platforms; in situ instruments, measurements, and methods for data acquisition, analysis, and interpretation and assimilation in numerical models; and information systems and algorithms.
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