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
Sun-Young Park,Kyo-Sun Sunny Lim,Kwonil Kim,Gyuwon Lee,and Jason A. Milbrandt
BK21 Weather Extremes Education & Research Team, Department of Atmospheric Sciences, Center for Atmospheric REmote sensing, Kyungpook National University, Daegu, South Korea
BK21 Weather Extremes Education & Research Team, Department of Atmospheric Sciences, Center for Atmospheric REmote sensing, Kyungpook National University, Daegu, South Korea
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, United States
Gyuwon Lee
BK21 Weather Extremes Education & Research Team, Department of Atmospheric Sciences, Center for Atmospheric REmote sensing, Kyungpook National University, Daegu, South Korea
We enhance the WDM6 scheme by incorporating predicted graupel density. The modification affects graupel characteristics, including fall velocity–diameter and mass–diameter relationships. Simulations highlight changes in graupel distribution and precipitation patterns, potentially influencing surface snow amounts. The study underscores the significance of integrating predicted graupel density for a more realistic portrayal of microphysical properties in weather models.
We enhance the WDM6 scheme by incorporating predicted graupel density. The modification affects...