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https://doi.org/10.5194/essd-2020-134
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-134
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  09 Jul 2020

09 Jul 2020

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This preprint is currently under review for the journal ESSD.

Radar and ground-level measurements of precipitation collected by EPFL during the ICE-POP 2018 campaign in South-Korea

Josué Gehring1, Alfonso Ferrone1, Anne-Claire Billault–Roux1, Nikola Besic2, Kwang Deuk Ahn3, GyuWon Lee4, and Alexis Berne1 Josué Gehring et al.
  • 1Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
  • 2Centre Météorologie Radar, Météo France, Toulouse, France
  • 3Department of Astronomy and Atmospheric Sciences, Kyungpook National University, Daegu, Korea
  • 4Numerical data application division, Numerical modeling center, Korea Meteorological Administration, Seoul, Korea

Abstract. This article describes a four-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.pangaea.de/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.

Josué Gehring et al.

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Radar and ground-level measurements of precipitation during the ICE-POP 2018 campaign in South-Korea Gehring, Josué; Ferrone, Alfonso; Billault-Roux, Anne-Claire; Besic, Nikola; Berne, Alexis https://10.1594/PANGAEA.918315

Josué Gehring et al.

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Short summary
This article describes a dataset of precipitation and cloud measurements collected from November 2017 to March 2018 in Pyeongchang, South-Korea. The dataset includes weather radar data and images of snowflakes. It allows to study the snowfall intensity, the wind conditions, and the shape, size and fall-speed of snowflakes. Classifications of the types of snowflakes show that aggregates of ice crystals were dominant. This dataset represents a unique opportunity to study snowfall in this region.
This article describes a dataset of precipitation and cloud measurements collected from November...
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