Microphysics and dynamics of snowfall associated with a warm conveyor belt over Korea

Gehring, Josué; Oertel, Annika; Vignon, Étienne; Jullien, Nicolas; Besic, Nikola; Berne, Alexis

doi:https://doi.org/10.5194/acp-20-7373-2020

Articles | Volume 20, issue 12

https://doi.org/10.5194/acp-20-7373-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Winter weather research in complex terrain during ICE-POP...

https://doi.org/10.5194/acp-20-7373-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 12

Research article

|

25 Jun 2020

Research article |

| 25 Jun 2020

Microphysics and dynamics of snowfall associated with a warm conveyor belt over Korea

Josué Gehring, Annika Oertel, Étienne Vignon, Nicolas Jullien, Nikola Besic, and Alexis Berne

Model code and software

MetPy: A Python package for meteorological data, R. M. May, S. C. Arms, P. Marsh, E. Bruning, J. R. and Leeman https://doi.org/10.5065/D6WW7G29

Short summary

In this study, we analyse how large-scale meteorological conditions influenced the local enhancement of snowfall during an intense precipitation event in Korea. We used atmospheric models, weather radars and snowflake images. We found out that a rising airstream in the warm sector of the low pressure system associated to this event influenced the evolution of snowfall. This study highlights the importance of interactions between large and local scales in this intense precipitation event.