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.
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.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Feb 2021
Data description paper |
| 15 Feb 2021
| 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
Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Alfonso Ferrone
Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Anne-Claire Billault-Roux
Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Nikola Besic
Centre Météorologie Radar, Météo-France, Toulouse, France
Kwang Deuk Ahn
Numerical Data Application Division, Numerical Modeling Center, Korea Meteorological Administration, Seoul, South Korea
GyuWon Lee
Department of Astronomy and Atmospheric Sciences, Kyungpook National University, Daegu, South Korea
Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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Cited
12 citations as recorded by crossref.
- Simulated microphysical properties of winter storms from bulk-type microphysics schemes and their evaluation in the Weather Research and Forecasting (v4.1.3) model during the ICE-POP 2018 field campaign J. Ko et al. 10.5194/gmd-15-4529-2022
- Integrated water vapor and liquid water path retrieval using a single-channel radiometer A. Billault-Roux & A. Berne 10.5194/amt-14-2749-2021
- Overview of the D3R Observations During the ICE-POP Field Campaign With Emphasis on Snow Studies S. Joshil et al. 10.1109/JSTARS.2023.3239593
- Estimating the snow density using collocated Parsivel and Micro-Rain Radar measurements: a preliminary study from ICE-POP 2017/2018 W. Chang et al. 10.5194/acp-24-11955-2024
- Orographic Flow Influence on Precipitation During an Atmospheric River Event at Davis, Antarctica J. Gehring et al. 10.1029/2021JD035210
- Radar and ground-level measurements of clouds and precipitation collected during the POPE 2020 campaign at Princess Elisabeth Antarctica A. Ferrone & A. Berne 10.5194/essd-15-1115-2023
- Identification of snowfall microphysical processes from Eulerian vertical gradients of polarimetric radar variables N. Planat et al. 10.5194/amt-14-4543-2021
- MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall J. Grazioli et al. 10.1038/s41597-022-01269-7
- Impact of wind pattern and complex topography on snow microphysics during International Collaborative Experiment for PyeongChang 2018 Olympic and Paralympic winter games (ICE-POP 2018) K. Kim et al. 10.5194/acp-21-11955-2021
- A Centimeter-Wavelength Snowfall Retrieval Algorithm Using Machine Learning F. King et al. 10.1175/JAMC-D-22-0036.1
- Simulated microphysical properties of winter storms from bulk-type microphysics schemes and their evaluation in the Weather Research and Forecasting (v4.1.3) model during the ICE-POP 2018 field campaign J. Ko et al. 10.5194/gmd-15-4529-2022
- Revision of WDM7 Microphysics Scheme and Evaluation for Precipitating Convection over the Korean Peninsula S. Jang et al. 10.3390/rs13193860
10 citations as recorded by crossref.
- Simulated microphysical properties of winter storms from bulk-type microphysics schemes and their evaluation in the Weather Research and Forecasting (v4.1.3) model during the ICE-POP 2018 field campaign J. Ko et al. 10.5194/gmd-15-4529-2022
- Integrated water vapor and liquid water path retrieval using a single-channel radiometer A. Billault-Roux & A. Berne 10.5194/amt-14-2749-2021
- Overview of the D3R Observations During the ICE-POP Field Campaign With Emphasis on Snow Studies S. Joshil et al. 10.1109/JSTARS.2023.3239593
- Estimating the snow density using collocated Parsivel and Micro-Rain Radar measurements: a preliminary study from ICE-POP 2017/2018 W. Chang et al. 10.5194/acp-24-11955-2024
- Orographic Flow Influence on Precipitation During an Atmospheric River Event at Davis, Antarctica J. Gehring et al. 10.1029/2021JD035210
- Radar and ground-level measurements of clouds and precipitation collected during the POPE 2020 campaign at Princess Elisabeth Antarctica A. Ferrone & A. Berne 10.5194/essd-15-1115-2023
- Identification of snowfall microphysical processes from Eulerian vertical gradients of polarimetric radar variables N. Planat et al. 10.5194/amt-14-4543-2021
- MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall J. Grazioli et al. 10.1038/s41597-022-01269-7
- Impact of wind pattern and complex topography on snow microphysics during International Collaborative Experiment for PyeongChang 2018 Olympic and Paralympic winter games (ICE-POP 2018) K. Kim et al. 10.5194/acp-21-11955-2021
- A Centimeter-Wavelength Snowfall Retrieval Algorithm Using Machine Learning F. King et al. 10.1175/JAMC-D-22-0036.1
2 citations as recorded by crossref.
- Simulated microphysical properties of winter storms from bulk-type microphysics schemes and their evaluation in the Weather Research and Forecasting (v4.1.3) model during the ICE-POP 2018 field campaign J. Ko et al. 10.5194/gmd-15-4529-2022
- Revision of WDM7 Microphysics Scheme and Evaluation for Precipitating Convection over the Korean Peninsula S. Jang et al. 10.3390/rs13193860
Latest update: 13 Dec 2024
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.
This article describes a dataset of precipitation and cloud measurements collected from November...
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