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Title: Distinct Contributions of Ice Nucleation, Large-Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5

Abstract

Mixed-phase clouds containing both liquid droplets and ice particles occur frequently at high latitudes and in the midlatitude storm track regions. Simulations of the cloud phase partitioning between liquid and ice hydrometeors in state-of-the-art global climate models are still associated with large biases. For this study, the phase partitioning in terms of liquid mass phase ratio (MPR liq, defined as the ratio of liquid mass to total condensed water mass) simulated from the NCAR Community Atmosphere Model version 5 (CAM5) is evaluated against the observational data from A-Train satellite remote sensors. Modeled MPR liq is significantly lower than observations on the global scale, especially in the Southern Hemisphere (e.g., Southern Ocean and the Antarctic). Sensitivity tests with CAM5 are conducted to investigate the distinct contributions of heterogeneous ice nucleation, shallow cumulus detrainment, and large-scale environment (e.g., winds, temperature, and water vapor) to the low MPR liq biases. Our results show that an aerosol-aware ice nucleation parameterization increases the MPR liq especially at temperatures colder than -20°C and significantly improves the model agreements with observations in the Polar regions in summer. The decrease of threshold temperature over which all detrained cloud water is liquid from 268 to 253 K enhances themore » MPR liq and improves the MPR liq mostly over the Southern Ocean. By constraining water vapor in CAM5 toward reanalysis, modeled low biases in many geographical regions are largely reduced through a significant decrease of cloud ice mass mixing ratio.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [3]
  1. Tsinghua Univ., Beijing (China). Dept. of Earth System Science; Univ. of Wyoming, Laramie, WY (United States). Dept. of Atmospheric Science
  2. Univ. of Wyoming, Laramie, WY (United States). Dept. of Atmospheric Science; Brookhaven National Lab. (BNL), Upton, NY (United States)
  3. Univ. of Wyoming, Laramie, WY (United States). Dept. of Atmospheric Science
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); National Natural Science Foundation of China (NNSFC); National Key Research and Development Program (China)
OSTI Identifier:
1433940
Report Number(s):
BNL-203496-2018-JAAM
Journal ID: ISSN 2169-897X
Grant/Contract Number:  
SC0012704; SC0014239; 41605074; 2016YFA0602103
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Journal Volume: 123; Journal Issue: 2; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 47 OTHER INSTRUMENTATION; cloud phase partitioning; mixed‐phase clouds; ice nucleation; CAM5

Citation Formats

Wang, Yong, Zhang, Damao, Liu, Xiaohong, and Wang, Zhien. Distinct Contributions of Ice Nucleation, Large-Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5. United States: N. p., 2018. Web. doi:10.1002/2017JD027213.
Wang, Yong, Zhang, Damao, Liu, Xiaohong, & Wang, Zhien. Distinct Contributions of Ice Nucleation, Large-Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5. United States. doi:10.1002/2017JD027213.
Wang, Yong, Zhang, Damao, Liu, Xiaohong, and Wang, Zhien. Sat . "Distinct Contributions of Ice Nucleation, Large-Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5". United States. doi:10.1002/2017JD027213. https://www.osti.gov/servlets/purl/1433940.
@article{osti_1433940,
title = {Distinct Contributions of Ice Nucleation, Large-Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5},
author = {Wang, Yong and Zhang, Damao and Liu, Xiaohong and Wang, Zhien},
abstractNote = {Mixed-phase clouds containing both liquid droplets and ice particles occur frequently at high latitudes and in the midlatitude storm track regions. Simulations of the cloud phase partitioning between liquid and ice hydrometeors in state-of-the-art global climate models are still associated with large biases. For this study, the phase partitioning in terms of liquid mass phase ratio (MPRliq, defined as the ratio of liquid mass to total condensed water mass) simulated from the NCAR Community Atmosphere Model version 5 (CAM5) is evaluated against the observational data from A-Train satellite remote sensors. Modeled MPRliq is significantly lower than observations on the global scale, especially in the Southern Hemisphere (e.g., Southern Ocean and the Antarctic). Sensitivity tests with CAM5 are conducted to investigate the distinct contributions of heterogeneous ice nucleation, shallow cumulus detrainment, and large-scale environment (e.g., winds, temperature, and water vapor) to the low MPRliq biases. Our results show that an aerosol-aware ice nucleation parameterization increases the MPRliq especially at temperatures colder than -20°C and significantly improves the model agreements with observations in the Polar regions in summer. The decrease of threshold temperature over which all detrained cloud water is liquid from 268 to 253 K enhances the MPRliq and improves the MPRliq mostly over the Southern Ocean. By constraining water vapor in CAM5 toward reanalysis, modeled low biases in many geographical regions are largely reduced through a significant decrease of cloud ice mass mixing ratio.},
doi = {10.1002/2017JD027213},
journal = {Journal of Geophysical Research: Atmospheres},
issn = {2169-897X},
number = 2,
volume = 123,
place = {United States},
year = {2018},
month = {1}
}

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Figures / Tables:

Table 1 Table 1: Model simulations. All simulations are carried out at a horizontal resolution of 1.9°×2.5° and a vertical resolution of 30 levels, using prescribed year 2000 sea surface temperatures and sea ice extent.

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