7A.5 Evaluation
of wet scavenging for the May 29, 2012 DC3 severe storm
case
Bela, Megan, University of Colorado (CU), Barth, Mary, National Center for Atmospheric Research (NCAR), John Wong, Owen Toon, CU, Hugh
Morrison, Morris Weisman, Kevin Manning, Glen Romine, Wei Wang, NCAR, Kristen Cummings, University of Maryland, Kenneth
Pickering, National Aeronautics and Space
Administration, and the DC3 Science Team
Deep
convective thunderstorms affect the vertical distribution of chemical species
through vertical transport, lightning-production of NOx,
wet scavenging of soluble species as well as aqueous and ice chemistry. This
work focuses on the May 29 Oklahoma thunderstorm from
the DC3 (Deep Convective Clouds and Chemistry) field campaign. WRF-Chem
simulations at cloud parameterizing (dx=15km) and cloud
resolving scales (dx=3 and 1km) are being conducted to investigate wet
scavenging of soluble trace gases. The simulated meteorology, evaluated with
the NEXRAD radar reflectivity, is shown to represent the structure and
evolution of the storm, although the simulated storm triggers about an hour
early, has a larger area of high reflectivity and extends further north than
observed in NEXRAD. Vertical distributions of trace gases with varying solubilities within the storm and immediately surrounding
the storm are compared with observations from the GV and DC-8 aircraft in storm
inflow and outflow regions. Observed mean vertical profiles of some soluble
species in outflow are better represented in the model with scavenging, while
others are overly scavenged. The dx=15km simulation is further evaluated for
its prediction of lightning flash rate, which is based on the convective
parameterization and poorly matches the flash rate observations. We will
provide recommendations on improving the flash rate parameterization.