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

被引:10
|
作者
Gehring, Josue [1 ]
Ferrone, Alfonso [1 ]
Billault-Roux, Anne-Claire [1 ]
Besic, Nikola [2 ]
Ahn, Kwang Deuk [3 ]
Lee, GyuWon [4 ]
Berne, Alexis [1 ]
机构
[1] Ecole Polytech Fed Lausanne EPFL, Environm Remote Sensing Lab, Lausanne, Switzerland
[2] Meteo France, Ctr Meteorol Radar, Toulouse, France
[3] Korea Meteorol Adm, Numer Modeling Ctr, Numer Data Applicat Div, Seoul, South Korea
[4] Kyungpook Natl Univ, Dept Astron & Atmospher Sci, Daegu, South Korea
基金
瑞士国家科学基金会;
关键词
2-DIMENSIONAL VIDEO DISDROMETER; BAND POLARIMETRIC RADAR; HYDROMETEOR CLASSIFICATION; DUMONT DURVILLE; SNOW PARTICLES; ADELIE LAND; RADIOMETER; MOUNTAIN; CLOUDS; IMAGES;
D O I
10.5194/essd-13-417-2021
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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 Ecole Polytechnique Federale 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., 2020a). 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.
引用
收藏
页码:417 / 433
页数:17
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