Toward Understanding the Simulated Phase Partitioning of Arctic Single–Layer Mixed–Phase Clouds in E3SM

Zhang, Meng; Xie, Shaocheng; Liu, Xiaohong; Lin, Wuyin; Zhang, Kai; Ma, Hsi‐Yen; Zheng, Xue; Zhang, Yuying

doi:10.1029/2020EA001125

Title: Toward Understanding the Simulated Phase Partitioning of Arctic Single–Layer Mixed–Phase Clouds in E3SM

Journal Article · 18 May 2020 · Earth and Space Science

DOI: https://doi.org/10.1029/2020EA001125 · OSTI ID:1638563

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Texas A & M Univ., College Station, TX (United States)
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Brookhaven National Lab. (BNL), Upton, NY (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Arctic mixed-phase clouds simulated by the U.S. Department of Energy (DOE) Energy Exascale Earth System Model (E3SM) Atmosphere Model version 1 (EAMv1) are found to be overly dominated by supercooled liquid with little ice production. Sensitivity experiments using the short-term hindcast approach are performed to isolate the impact of several new parameterizations on the simulated mixed-phase clouds in EAMv1. These include the Classical Nucleation Theory (CNT) ice nucleation scheme, the Cloud Layer Unified By Binormals (CLUBB) parameterization, and the updated Morrison and Gettelman microphysical scheme (MG2). Results are compared to the DOE's Atmospheric Radiation Measurement (ARM) Mixed-Phase Arctic Cloud Experiment (M-PACE) observations. It is found that all of these new parameterizations are responsible for the decrease of cloud ice water content in EAMv1 simulated single-layer mixed-phase clouds. A budget analysis of detailed cloud microphysical processes suggests that a lack of initial ice particles from ice nucleation or convective detrainment strongly diminishes the cloud ice water content through the subsequent ice mass growth processes. Reduced heterogeneous ice nucleation by CNT at temperatures warmer than - 15°C along with negligible ice processes in CLUBB are primarily responsible for the problem. Because the use of MG2 does not impact initial ice formation, the MG2 cloud microphysics is not the primary reason for the underestimate of cloud ice. However, using MG2 leads to a lower total ice mass due to a higher accretion rate of liquid droplets by rain drops and a lower ice mass growth rate.

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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: SC0012704; SC0020510; AC52-07NA27344; AC06-76RL01830; AC02-05CH11231

OSTI ID:: 1638563

Alternate ID(s):: OSTI ID: 1635463; OSTI ID: 1638564; OSTI ID: 1729726

Report Number(s):: BNL-216091-2020-JAAM; LLNL-JRNL-804497

Journal Information:: Earth and Space Science, Vol. 7, Issue 7; ISSN 2333-5084

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 15 works

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