A142-0014
The Influence of riming on snow density using ground-based measurement during ICE-POP 2018

Monday, 14 December 2020
Poster
Sun-yeong Moon1, Sujeong Cho2, Kwonil Kim3, Wonbae Bang4, Bo-Young Ye4, Soorok Ryu4 and Gyuwon Lee3, (1)Kyungpook National University, Department of Astronomy and Atmospheric Sciences, Daegue, South Korea, (2)Numerical Data Application Division, Numerical Modeling Center, Korea Meteorological Administration, Republic of Korea, Seoul, South Korea, (3)Kyungpook National University, Department of Astronomy and Atmospheric Sciences, Daegu, South Korea, (4)Kyungpook National University, Center for Atmospheric REmote sensing (CARE), Daegu, South Korea
Abstract:
Riming is growth process of ice crystal or snow particle by collection of supercooled droplet. Riming changes ice particle properties (density, fall velocity, and shape) and increases the amount of snowfall. However, the impact of riming on microphysical properties has not been well understood and it is not yet clear how the riming impacts to the snow density. The study on the impact of riming on the density of snow has been challenging due to following reasons: lack of observations, difficulties in quantification of riming degree and density of snow.

The purpose of this study is to examine the influence of riming degree on bulk density of snow by using the several microphysical observations and reasonable methods suggested previous studies to estimate riming degree and density of snow. We use observation data obtained from ICE-POP 2018 (International Collaborative Experiments for Pyeongchang 2018 Olympic & Paralympic winter games) project which includes comprehensive network of snow microphysical observation. The riming degree is estimated from the Doppler velocity of vertically pointing X-band radar by the method suggested by Mosimann (1995). In this approach we take into account the fact that fall velocity of snow correlates to the riming degree. The density – diameter relationship regarding snow particle is derived by constructing a cost function that is composed of snow intensities calculated from disdrometer (2DVD) and weighing gauge (PLUVIO). The density is then retrieved from density-diameter relationship. We will estimate riming degree and density of snow and present how riming degree and density of snow are related.

ACKNOWLEDGEMENT

This work was funded by the Korea Meteorological Administration Research and Development Program under Grant KMI2018-06810. This study was funded by the Korea Environmental Industry & Technology Institute (KEITI) of the Korea Ministry of Environment (MOE) as “Advanced Water Management Research Program”. (79615)

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