A modified Fast Spectral Bin Microphysics scheme (FSBM-2) embedded into the Weather
Research and Forecasting Model (WRF) is used to simulate a mesoscale deep convective
system observed during the Midlatitude Continental Convective Clouds Experiment (MC3E). FSBM-2 uses modified source codes as compared to the current FSBM (FSBM-1). In contrast to FSBM-1, FSBM-2 can simulate hail of several cm in diameter and includes additional processes such as spontaneous breakup of raindrops and aerosol regeneration by drop evaporation. It is shown that allowing large hail particles of diameters exceeding about 1 cm substantially increases the agreement between the simulated and observed squall-line structures both in the convective and stratiform regions. In contrast, if graupel particles are used to represent high-density hydrometeors in convective areas, the ratio of convective-to-stratiform areas diverges from the ratio seen in observations and maximum radar reflectivities are substantially underestimated. Analysis of snow size distributions in the stratiform area shows an important link between the ice crystals formed by homogeneous freezing in the convective area to ice particle number concentration in the stratiform region. Simulated raindrop size distributions in the stratiform area below the melting level from FSBM-2 show a good agreement with observations. The regeneration of CCN by droplet evaporation and detrainment of these CCN to the stratiform region increases the concentration of CCN there up to 8-9 km altitude; the additional CCN penetrate clouds and produce new droplets, leading to some convection intensification.
Key words: Mesoscale convective systems (MCS), squall lines, spectral bin microphysics,
large hail, in-cloud nucleation, size distributions of hydrometeors in MCS.
Revised: April 17, 2020 |
Published: December 27, 2019
Citation
Shpund K., A. Khain, B. Lynn, J. Fan, B. Han, A. Ryzhkov, and J. Snyder, et al. 2019.Simulating a Mesoscale Convective System Using WRF with a New Spectral Bin Microphysics: Part 1: Hail vs Graupel.Journal of Geophysical Research: Atmospheres 124, no. 24:14072-14101.PNNL-SA-150009.doi:10.1029/2019JD030576