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

Gehring, Josué; Ferrone, Alfonso; Billault-Roux, Anne-Claire; Besic, Nikola; Ahn, Kwang Deuk; Lee, GyuWon; Berne, Alexis

doi:https://doi.org/10.5194/essd-13-417-2021

Articles | Volume 13, issue 2

https://doi.org/10.5194/essd-13-417-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-417-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 2

Data description paper

|

15 Feb 2021

Data description paper |

| 15 Feb 2021

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

Josué Gehring, Alfonso Ferrone, Anne-Claire Billault-Roux, Nikola Besic, Kwang Deuk Ahn, GyuWon Lee, and Alexis Berne

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Final revised paper (published on 15 Feb 2021)
Preprint (discussion started on 09 Jul 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review Gehring et al., ESSD-2020-134', Anonymous Referee #1, 17 Aug 2020
RC2: 'Review of Gehring et al', Anonymous Referee #2, 27 Nov 2020
AC1: 'Answer to all reviewers', Josué Gehring, 10 Dec 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Josué Gehring on behalf of the Authors (10 Dec 2020) Author's response Manuscript

ED: Publish as is (28 Dec 2020) by Prasad Gogineni

AR by Josué Gehring on behalf of the Authors (07 Jan 2021)

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 for studying the snowfall intensity; wind conditions; and 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.