STRATIFORM CLOUDS;
MINERAL DUST;
PART I;
PARAMETERIZATION;
NUCLEATION;
AEROSOL;
MICROPHYSICS;
SCHEME;
PRECIPITATION;
VARIABILITY;
D O I:
10.5194/acp-12-10679-2012
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
The salient features of mixed-phase and ice clouds in a GCM cloud scheme are examined using the ice nucleation parameterizations of Liu and Penner (LP) and Barahona and Nenes (BN). The performance of both parameterizations was assessed in the GEOS-5 AGCM using the McRAS-AC cloud microphysics framework in single column mode. Four dimensional assimilated data from the intensive observation period of ARM TWP-ICE campaign was used to drive the fluxes and lateral forcing. Simulation experiments were established to test the impact of each parameterization in the resulting cloud fields. Three commonly used IN spectra were utilized in the BN parameterization to describe the availability of IN for heterogeneous ice nucleation. The results showed large similarities in the cirrus cloud regime between all the schemes tested, in which ice crystal concentrations were within a factor of 10 regardless of the parameterization used. In mixed-phase clouds there were some persistent differences in cloud particle number concentration and size, as well as in cloud fraction, ice water mixing ratio, and ice water path. Contact freezing in the simulated mixed-phase clouds contributed to the effective transfer of liquid to ice, so that on average, the clouds were fully glaciated at T similar to 260 K, irrespective of the ice nucleation parameterization used. Comparison of simulated ice water path to available satellite derived observations were also performed, finding that all the schemes tested with the BN parameterization predicted average values of IWP within +/-15% of the observations.
机构:
Texas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USATexas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA
Zhao, Xi
Liu, Xiaohong
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Texas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USATexas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA
Liu, Xiaohong
Burrows, Susannah
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机构:
Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA USATexas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA
Burrows, Susannah
DeMott, Paul J.
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机构:
Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO USATexas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA
DeMott, Paul J.
Diao, Minghui
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San Jose State Univ, Dept Meteorol & Climate Sci, San Jose, CA USATexas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA
Diao, Minghui
McFarquhar, Greg M.
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机构:
Univ Oklahoma, Cooperat Inst Severe & High Impact Weather Res & O, Norman, OK USA
Univ Oklahoma, Sch Meteorol, Norman, OK USATexas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA
机构:
Nagoya Univ, Grad Sch Environm Studies, Nagoya, Aichi, JapanNagoya Univ, Grad Sch Environm Studies, Nagoya, Aichi, Japan
Kawai, Kei
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Matsui, Hitoshi
Tobo, Yutaka
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机构:
Natl Inst Polar Res, Tachikawa, Tokyo, Japan
Grad Univ Adv Studies, SOKENDAI, Tachikawa, Tokyo, JapanNagoya Univ, Grad Sch Environm Studies, Nagoya, Aichi, Japan
机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Luo, Yali
Xu, Kuan-Man
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机构:
NASA, Langley Res Ctr, Climate Sci Branch, Hampton, VA 23681 USAChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Xu, Kuan-Man
Morrison, Hugh
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机构:
Natl Ctr Atmospher Res, MMM, Boulder, CO 80307 USAChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Morrison, Hugh
McFarquhar, Greg M.
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机构:
Univ Illinois, Dept Atmospher Sci, Urbana, IL 61801 USAChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
McFarquhar, Greg M.
Wang, Zhien
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机构:
Univ Wyoming, Dept Atmospher Sci, Laramie, WY 82071 USAChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Wang, Zhien
Zhang, Gong
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机构:
Univ Illinois, Dept Atmospher Sci, Urbana, IL 61801 USAChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China