On Different Microphysical Pathways to Convective Rainfall

Sonia Lasher-Trapp Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois

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Shailendra Kumar Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois

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Daniel H. Moser Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois

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Alan M. Blyth National Centre for Atmospheric Science, Institute of Climate and Atmospheric Science, University of Leeds, Leeds, United Kingdom

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Jeffrey R. French Department of Atmospheric Science, University of Wyoming, Laramie, Wyoming

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Robert C. Jackson Department of Atmospheric Science, University of Wyoming, Laramie, Wyoming

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David C. Leon Department of Atmospheric Science, University of Wyoming, Laramie, Wyoming

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David M. Plummer Department of Atmospheric Science, University of Wyoming, Laramie, Wyoming

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ABSTRACT

The Convective Precipitation Experiment (COPE) documented the dynamical and microphysical evolution of convection in southwestern England for testing and improving quantitative precipitation forecasting. A strong warm rain process was hypothesized to produce graupel quickly, initiating ice production by rime splintering earlier to increase graupel production and, ultimately, produce heavy rainfall. Here, convection observed on two subsequent days (2 and 3 August 2013) is used to test this hypothesis and illustrate how environmental factors may alter the microphysical progression. The vertical wind shear and cloud droplet number concentrations on 2 August were 2 times those observed on 3 August. Convection on both days produced comparable maximum radar-estimated rain rates, but in situ microphysical measurements indicated much less ice in the clouds on 2 August, despite having maximum cloud tops that were nearly 2 km higher than on 3 August. Idealized 3D numerical simulations of the convection in their respective environments suggest that the relative importance of particular microphysical processes differed. Higher (lower) cloud droplet number concentrations slow (accelerate) the warm rain process as expected, which in turn slows (accelerates) graupel formation. Rime splintering can explain the abundance of ice observed on 3 August, but it was hampered by strong vertical wind shear on 2 August. In the model, the additional ice produced by rime splintering was ineffective in enhancing surface rainfall; strong updrafts on both days lofted supercooled raindrops well above the 0°C level where they froze to become graupel. The results illustrate the complexity of dynamical–microphysical interactions in producing convective rainfall and highlight unresolved issues in understanding and modeling the competing microphysical processes.

Current affiliation: Peru Institute of Geophysics, Lima, Peru.

Current affiliation: Lyda Hill Dept. of Bioinformatics, University of Texas Southwest Medical Center, Dallas, Texas.

Current affiliation: Argonne National Laboratory, Argonne, Illinois.

Current affiliation: Alpenglow Instruments, Laramie, Wyoming.

© 2018 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Dr. Sonia Lasher-Trapp, slasher@illinois.edu

ABSTRACT

The Convective Precipitation Experiment (COPE) documented the dynamical and microphysical evolution of convection in southwestern England for testing and improving quantitative precipitation forecasting. A strong warm rain process was hypothesized to produce graupel quickly, initiating ice production by rime splintering earlier to increase graupel production and, ultimately, produce heavy rainfall. Here, convection observed on two subsequent days (2 and 3 August 2013) is used to test this hypothesis and illustrate how environmental factors may alter the microphysical progression. The vertical wind shear and cloud droplet number concentrations on 2 August were 2 times those observed on 3 August. Convection on both days produced comparable maximum radar-estimated rain rates, but in situ microphysical measurements indicated much less ice in the clouds on 2 August, despite having maximum cloud tops that were nearly 2 km higher than on 3 August. Idealized 3D numerical simulations of the convection in their respective environments suggest that the relative importance of particular microphysical processes differed. Higher (lower) cloud droplet number concentrations slow (accelerate) the warm rain process as expected, which in turn slows (accelerates) graupel formation. Rime splintering can explain the abundance of ice observed on 3 August, but it was hampered by strong vertical wind shear on 2 August. In the model, the additional ice produced by rime splintering was ineffective in enhancing surface rainfall; strong updrafts on both days lofted supercooled raindrops well above the 0°C level where they froze to become graupel. The results illustrate the complexity of dynamical–microphysical interactions in producing convective rainfall and highlight unresolved issues in understanding and modeling the competing microphysical processes.

Current affiliation: Peru Institute of Geophysics, Lima, Peru.

Current affiliation: Lyda Hill Dept. of Bioinformatics, University of Texas Southwest Medical Center, Dallas, Texas.

Current affiliation: Argonne National Laboratory, Argonne, Illinois.

Current affiliation: Alpenglow Instruments, Laramie, Wyoming.

© 2018 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Dr. Sonia Lasher-Trapp, slasher@illinois.edu
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