Understanding Ice Cloud‐Precipitation Properties of Three Modes of Mesoscale Convective Systems During PECAN
AffiliationUniv Arizona, Dept Hydrol & Atmospher Sci
MetadataShow full item record
PublisherAMER GEOPHYSICAL UNION
CitationCui, W., Dong, X., Xi, B., Fan, J., Tian, J., Wang, J., & McHardy, T. M. (2019). Understanding ice cloud‐precipitation properties of three modes of mesoscale convective systems during PECAN. Journal of Geophysical Research: Atmospheres, 124, 4121–4140. https:// doi.org/10.1029/2019JD030330
RightsCopyright © 2019. American Geophysical Union. All Rights Reserved.
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AbstractThis study analyzes the precipitation and ice cloud microphysical features of three common modes of linear mesoscale convective systems during the Plains Elevated Convection at Night (PECAN) campaign. Three cases, one for each linear mesoscale convective system archetype (trailing stratiform, leading stratiform, and parallel stratiform precipitation), are selected. We focus primarily on analyzing ice cloud microphysical properties and precipitation rates (PRs) over the classified convective core (CC) and stratiform rain (SR) regions, as well as the two stratiform regions that developed behind (SR1) and ahead (SR2) of the convective line relative to the storm motion. In the three selected cases, the ice water path (IWP) and PR have strong correlations in the CC, but not in the SR. In terms of the temporal evolution of the mean IWPs and PRs, both CC and SR IWPs, as well as CC PRs, reach peaks quickly but take a longer time to dissipate than the increase period. For all the three cases, both SR1 and SR2 IWPs are 20-70% of their corresponding CC values in both the leading stratiform and parallel stratiform cases and up to 95% for the trailing stratiform case, while all of their PRs are only 7-25% of their CC values. These values suggest not only that the SR PRs may depend on IWPs but also that the microphysical properties of ice particles such as habit and size distribution may play an important role. Utilizing cloud-resolving simulations of these systems may provide better understanding of the physical meanings behind the results in the future.
Note6 month embargo; first published: 29 March 2019
VersionFinal published version
SponsorsClimate Model Development and Validation (CMDV) program - Office of Biological and Environmental Research in the US Department of Energy Office of Science [DE-SC0017015]; NASA CERES project [NNX17AC52G]