Articles | Volume 21, issue 15
https://doi.org/10.5194/acp-21-11955-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-21-11955-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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)
Kwonil Kim
Department of Astronomy and Atmospheric Sciences, Center for Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu, Republic of Korea
Wonbae Bang
Department of Astronomy and Atmospheric Sciences, Center for Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu, Republic of Korea
Eun-Chul Chang
Department of Atmospheric Sciences, Kongju National University, Gongju, Republic of Korea
Francisco J. Tapiador
Earth and Space Sciences Research Group, Institute of Environmental Sciences, University of Castilla-La Mancha, Toledo, Spain
Chia-Lun Tsai
Department of Astronomy and Atmospheric Sciences, Center for Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu, Republic of Korea
Eunsil Jung
Department of Advanced Science and Technology Convergence, Kyungpook National University, Sangju, Republic of Korea
Gyuwon Lee
CORRESPONDING AUTHOR
Department of Astronomy and Atmospheric Sciences, Center for Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu, Republic of Korea
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Cited
13 citations as recorded by crossref.
- Intercomparison of radar data assimilation systems for snowfall cases during the ICE-POP 2018 J. Lee et al. 10.1016/j.atmosres.2024.107804
- A numerical simulation of a strong windstorm event in the Taebaek Mountain Region in Korea during the ICE-POP 2018 J. Park et al. 10.1016/j.atmosres.2022.106158
- Dual-Frequency Radar Retrievals of Snowfall Using Random Forest T. Yu et al. 10.3390/rs14112685
- Scientific Advances and Weather Services of the China Meteorological Administration’s National Forecasting Systems during the Beijing 2022 Winter Olympics G. Deng et al. 10.1007/s00376-023-3206-3
- DeepPrecip: a deep neural network for precipitation retrievals F. King et al. 10.5194/amt-15-6035-2022
- 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
- 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
- Snow microphysical retrieval from the NASA D3R radar during ICE-POP 2018 S. Munchak et al. 10.5194/amt-15-1439-2022
- Implementation of Prognostic Cloud Ice Number Concentrations for the Weather Research and Forecasting (WRF) Double‐Moment 6‐Class (WDM6) Microphysics Scheme S. Park & K. Lim 10.1029/2022MS003009
- Planetary Boundary Layer Flow over Complex Terrain during a Cold Surge Event: A Case Study Y. Lee et al. 10.3390/atmos15020153
- Introducing graupel density prediction in Weather Research and Forecasting (WRF) double-moment 6-class (WDM6) microphysics and evaluation of the modified scheme during the ICE-POP field campaign S. Park et al. 10.5194/gmd-17-7199-2024
- A Fuzzy-Logic-Based Approach for Eliminating Interference Lines in Micro Rain Radar (MRR-2) K. Kim & G. Lee 10.3390/rs16213965
- Microphysical Characteristics of Snowfall in Seoul, South Korea and Their Changes with Meteorological Conditions S. Hong et al. 10.1007/s13143-024-00385-1
13 citations as recorded by crossref.
- Intercomparison of radar data assimilation systems for snowfall cases during the ICE-POP 2018 J. Lee et al. 10.1016/j.atmosres.2024.107804
- A numerical simulation of a strong windstorm event in the Taebaek Mountain Region in Korea during the ICE-POP 2018 J. Park et al. 10.1016/j.atmosres.2022.106158
- Dual-Frequency Radar Retrievals of Snowfall Using Random Forest T. Yu et al. 10.3390/rs14112685
- Scientific Advances and Weather Services of the China Meteorological Administration’s National Forecasting Systems during the Beijing 2022 Winter Olympics G. Deng et al. 10.1007/s00376-023-3206-3
- DeepPrecip: a deep neural network for precipitation retrievals F. King et al. 10.5194/amt-15-6035-2022
- 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
- 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
- Snow microphysical retrieval from the NASA D3R radar during ICE-POP 2018 S. Munchak et al. 10.5194/amt-15-1439-2022
- Implementation of Prognostic Cloud Ice Number Concentrations for the Weather Research and Forecasting (WRF) Double‐Moment 6‐Class (WDM6) Microphysics Scheme S. Park & K. Lim 10.1029/2022MS003009
- Planetary Boundary Layer Flow over Complex Terrain during a Cold Surge Event: A Case Study Y. Lee et al. 10.3390/atmos15020153
- Introducing graupel density prediction in Weather Research and Forecasting (WRF) double-moment 6-class (WDM6) microphysics and evaluation of the modified scheme during the ICE-POP field campaign S. Park et al. 10.5194/gmd-17-7199-2024
- A Fuzzy-Logic-Based Approach for Eliminating Interference Lines in Micro Rain Radar (MRR-2) K. Kim & G. Lee 10.3390/rs16213965
- Microphysical Characteristics of Snowfall in Seoul, South Korea and Their Changes with Meteorological Conditions S. Hong et al. 10.1007/s13143-024-00385-1
Latest update: 30 Jan 2025
Short summary
This study analyzes the microphysical characteristics of snow in complex terrain and the nearby ocean according to topography and wind pattern during the ICE-POP 2018 campaign. The observations from collocated vertically pointing radars and disdrometers indicate that the riming in the mountainous region is likely caused by a strong shear and turbulence. The different behaviors of aggregation and riming were found by three different synoptic patterns (air–sea interaction, cold low, and warm low).
This study analyzes the microphysical characteristics of snow in complex terrain and the nearby...
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