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Radar and ground-level measurements of precipitation collected by the école Polytechnique Fédérale de Lausanne during the International Collaborative Experiments for PyeongChang 2018 Olympic and Paralympic winter games

机译:雷达和地面测量的école·多特科恩·弗莱尔德·洛桑在平昌2018年奥运会和残奥会冬季比赛中的国际合作实验期间收集的降水

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This article describes a 4-month dataset of precipitation and cloud measurements collected during the International Collaborative Experiments for PyeongChang 2018 Olympic and Paralympic winter games (ICE-POP 2018). This paper aims to describe the data collected by the Environmental Remote Sensing Laboratory of the école Polytechnique Fédérale de Lausanne. The dataset includes observations from an X-band dual-polarisation Doppler radar, a W-band Doppler cloud profiler, a multi-angle snowflake camera and a two-dimensional video disdrometer ( https://doi.org/10.1594/PANGAEA.918315 , Gehring et?al. ,? 2020 a ). Classifications of hydrometeor types derived from dual-polarisation measurements and snowflake photographs are presented. The dataset covers the period from 15 November 2017 to 18 March 2018 and features nine precipitation events with a total accumulation of 195? mm of equivalent liquid precipitation. This represents 85?% of the climatological accumulation over this period. To illustrate the available data, measurements corresponding to the four precipitation events with the largest accumulation are presented. The synoptic situations of these events were contrasted and influenced the precipitation type and accumulation. The hydrometeor classifications reveal that aggregate snowflakes were dominant and that some events featured significant riming. The combination of dual-polarisation variables and high-resolution Doppler spectra with ground-level snowflake images makes this dataset particularly suited to study snowfall microphysics in a region where such measurements were not available before.
机译:本文介绍了在PyeongChang 2018奥运会和残奥会冬季游戏(2018年ICE-POP)的国际协同实验期间收集了4个月的降水和云测量的数据集。本文旨在描述ÉcolePolytechniqueFédéraledeLausanne环境遥感实验室收集的数据。该数据集包括来自X频带双极化多普勒雷达的观察,W波段多普勒云分析器,多角度雪花相机和二维视频抑制器(https://doi.org/10.1594/pangaea.918315 ,gehring等,是,?2020 a)。提出了来自双极化测量和雪花照片的水流计仪类型的分类。该数据集涵盖2017年11月15日至2018年3月18日的期限,并具有九个降水事件,总累积为195年?毫米等同的液体沉淀。这代表了这一时期的85次占气候积累的85%。为了说明可用的数据,提出了与具有最大累积的四个降水事件对应的测量。这些事件的天气情况形成鲜明对比,影响降水类型和积累。水力计仪分类显示,总雪花占主导地位,有些事件具有重要的灵敏。双偏振变量和高分辨率多普勒光谱的组合具有地面雪花图像使得该数据集特别适合于在此之前没有使用此类测量的区域中研究降雪微物理学。

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