TY - JOUR
T1 - How the Environmental Lifting Condensation Level Affects the Sensitivity of Simulated Convective Storm Cold Pools to the Microphysics Parameterization
AU - Murdzek, Shawn S.
AU - Richardson, Yvette P.
AU - Markowski, Paul M.
AU - Kumjian, Matthew R.
N1 - Funding Information:
Thanks are given to Hugh Morrison for helpful comments on an earlier version of this paper as well as assistance with the P3 microphysics scheme; Guido Cervone for comments on an earlier version of this work; Branden Katona, Dylan Steinkruger, and Aaron Wang for their assistance in setting up, running, and modifying CM1; the Pennsylvania State University (Penn State) Institute for Computational and Data Sciences (ICDS) for computing support; George Bryan for developing and maintaining CM1; and Ted Mansell and two anonymous reviewers for providing detailed feedback to improve this article. We also acknowledge the developers of several Python packages used here, including MetPy (May et al. 2021) and Py-ART (Helmus and Collis 2016). This work is funded by a Penn State University Graduate Fellowship and the National Science Foundation Graduate Research Fellowship Program under Grant DGE1255832. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Publisher Copyright:
© 2022 American Meteorological Society.
PY - 2022/10
Y1 - 2022/10
N2 - Several studies have documented the sensitivity of convective storm simulations to the microphysics parameterization, but there is less research documenting how these sensitivities change with environmental conditions. In this study, the influence of the lifting condensation level (LCL) on the sensitivity of simulated ordinary convective storm cold pools to the microphysics parameterization is examined. To do this, seven perturbed-microphysics ensembles with nine members each are used, where each ensemble uses a different base state with a surface-based LCL between 500 and 2000 m. A comparison of ensemble standard deviations of cold-pool properties shows a clear trend of increasing sensitivity to the microphysics as the LCL is raised. In physical terms, this trend is the result of lower relative humidities in high-LCL environments that increase low-level rain evaporational cooling rates, which magnifies differences in evaporation already present among the members of a given ensemble owing to the microphysics variations. Omitting supersaturation from the calculation of rain evaporation so that only the raindrop size distribution influences evaporation leads to more evaporation in the low-LCL simulations (owing to more drops), as well as a slightly larger spread in evaporational cooling amounts between members in the low-LCL ensembles. Cold pools in the low-LCL environments are also found to develop earlier and are initially more sensitive to raindrop breakup owing to a larger warm-cloud depth. Altogether, these results suggest that convective storms may be more predictable in low-LCL environments, and forecasts of convection in high-LCL environments may benefit the most from microphysics perturbations within an ensemble forecasting system.
AB - Several studies have documented the sensitivity of convective storm simulations to the microphysics parameterization, but there is less research documenting how these sensitivities change with environmental conditions. In this study, the influence of the lifting condensation level (LCL) on the sensitivity of simulated ordinary convective storm cold pools to the microphysics parameterization is examined. To do this, seven perturbed-microphysics ensembles with nine members each are used, where each ensemble uses a different base state with a surface-based LCL between 500 and 2000 m. A comparison of ensemble standard deviations of cold-pool properties shows a clear trend of increasing sensitivity to the microphysics as the LCL is raised. In physical terms, this trend is the result of lower relative humidities in high-LCL environments that increase low-level rain evaporational cooling rates, which magnifies differences in evaporation already present among the members of a given ensemble owing to the microphysics variations. Omitting supersaturation from the calculation of rain evaporation so that only the raindrop size distribution influences evaporation leads to more evaporation in the low-LCL simulations (owing to more drops), as well as a slightly larger spread in evaporational cooling amounts between members in the low-LCL ensembles. Cold pools in the low-LCL environments are also found to develop earlier and are initially more sensitive to raindrop breakup owing to a larger warm-cloud depth. Altogether, these results suggest that convective storms may be more predictable in low-LCL environments, and forecasts of convection in high-LCL environments may benefit the most from microphysics perturbations within an ensemble forecasting system.
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U2 - 10.1175/MWR-D-21-0258.1
DO - 10.1175/MWR-D-21-0258.1
M3 - Article
AN - SCOPUS:85136883835
SN - 0027-0644
VL - 150
SP - 2527
EP - 2552
JO - Monthly Weather Review
JF - Monthly Weather Review
IS - 10
ER -