Ice formation in Arctic mixed-phase clouds: Insights from a 3-D cloud-resolving model with size-resolved aerosol and cloud microphysics

被引:81
|
作者
Fan, Jiwen [1 ]
Ovtchinnikov, Mikhail [1 ]
Comstock, Jennifer M. [1 ]
McFarlane, Sally A. [1 ]
Khain, Alexander [2 ]
机构
[1] Pacific NW Natl Lab, Richland, WA 99352 USA
[2] Hebrew Univ Jerusalem, Dept Atmospher Sci, IL-91904 Jerusalem, Israel
基金
美国国家科学基金会; 以色列科学基金会;
关键词
SMALL CUMULIFORM CLOUDS; PART II; EXPLICIT MICROPHYSICS; SPECTRAL MICROPHYSICS; PRODUCTION MECHANISMS; CONVECTIVE CLOUDS; CLIMATE MODELS; 3D MODEL; NUCLEATION; SIMULATION;
D O I
10.1029/2008JD010782
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The single-layer mixed-phase clouds observed during the Atmospheric Radiation Measurement (ARM) program's Mixed-Phase Arctic Cloud Experiment (MPACE) are simulated with a three-dimensional cloud-resolving model, the System for Atmospheric Modeling (SAM), coupled with an explicit bin microphysics scheme and a radar simulator. By implementing an aerosol-dependent and a temperature- and supersaturation-dependent ice nucleation scheme and treating IN size distribution prognostically, the link between ice crystal and aerosol properties is established to study aerosol indirect effects. Two possible ice enhancement mechanisms, activation of droplet evaporation residues by condensation followed by freezing and droplet evaporation freezing by contact freezing inside out, are scrutinized by extensive comparisons with the in situ and remote sensing measurements. Simulations with either mechanism agree well with the in situ and remote sensing measurements of ice microphysical properties but liquid water content is slightly underpredicted. These two mechanisms give similar cloud properties, although ice nucleation occurs at very different rates and locations. Ice nucleation from activation of evaporation nuclei occurs mostly near cloud top areas, while ice nucleation from the drop freezing during evaporation has no significant location preference. Both ice enhancement mechanisms contribute dramatically to ice formation with ice particle concentration of 10-15 times higher relative to the simulation without either of them. Ice nuclei (IN) recycling from ice sublimation contributes significantly to maintaining concentrations of IN and ice particles in this case, implying an important role to maintain the observed long-term existence of mixed-phase clouds. Cloud can be very sensitive to IN initially but become much less sensitive as cloud evolves to a steady mixed-phase condition.
引用
收藏
页数:21
相关论文
共 46 条
  • [31] Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds
    Lee, Junghwa
    Seifert, Patric
    Hashino, Tempei
    Maahn, Maximilian
    Senf, Fabian
    Knoth, Oswald
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2024, 24 (10) : 5737 - 5756
  • [32] Ice Concentration Retrieval in Stratiform Mixed-Phase Clouds Using Cloud Radar Reflectivity Measurements and 1D Ice Growth Model Simulations
    Zhang, Damao
    Wang, Zhien
    Heymsfield, Andrew
    Fan, Jiwen
    Luo, Tao
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2014, 71 (10) : 3613 - 3635
  • [33] Simulation of aerosol optical properties over Europe with a 3-D size-resolved aerosol model: comparisons with AERONET data
    Tombette, M.
    Chazette, P.
    Sportisse, B.
    Roustan, Y.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2008, 8 (23) : 7115 - 7132
  • [34] Intercomparison of cloud model simulations of Arctic mixed-phase boundary layer clouds observed during SHEBA/FIRE-ACE
    Morrison, Hugh
    Zuidema, Paquita
    Ackerman, Andrew S.
    Avramov, Alexander
    de Boer, Gijs
    Fan, Jiwen
    Fridlind, Ann M.
    Hashino, Tempei
    Harrington, Jerry Y.
    Luo, Yali
    Ovchinnikov, Mikhail
    Shipway, Ben
    JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2011, 3
  • [35] Ice properties of single-layer stratocumulus during the Mixed-Phase Arctic Cloud Experiment: 2. Model results
    Fridlind, A. M.
    Ackerman, A. S.
    McFarquhar, G.
    Zhang, G.
    Poellot, M. R.
    DeMott, P. J.
    Prenni, A. J.
    Heymsfield, A. J.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2007, 112 (D24)
  • [36] Explicit Precipitation-Type Diagnosis from a Model Using a Mixed-Phase Bulk Cloud-Precipitation Microphysics Parameterization
    Benjamin, Stanley G.
    Brown, John M.
    Smirnova, Tatiana G.
    WEATHER AND FORECASTING, 2016, 31 (02) : 609 - 619
  • [37] Ice-nucleating particles from multiple aerosol sources in the urban environment of Beijing under mixed-phase cloud conditions
    Zhang, Cuiqi
    Wu, Zhijun
    Chen, Jingchuan
    Chen, Jie
    Tang, Lizi
    Zhu, Wenfei
    Pei, Xiangyu
    Chen, Shiyi
    Tian, Ping
    Guo, Song
    Zeng, Limin
    Hu, Min
    Kanji, Zamin A.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2022, 22 (11) : 7539 - 7556
  • [38] Aircraft observation of aerosol and mixed-phase cloud microphysical over the North China Plain, China: Vertical distribution, size distribution, and effects of cloud seeding in two-layered clouds
    Wang, Zihan
    Wang, Honglei
    Dong, Xiaobo
    Yang, Yang
    Ke, Yue
    Liu, Sihan
    Cui, Yi
    Cui, Kun
    Wu, Zihao
    Lin, Wen
    ATMOSPHERIC RESEARCH, 2024, 312
  • [39] Cloud resolving simulations of mixed-phase Arctic stratus observed during BASE: Sensitivity to concentration of ice crystals and large-scale heat and moisture advection
    Jiang, HL
    Cotton, WR
    Pinto, JO
    Curry, JA
    Weissbluth, MJ
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2000, 57 (13) : 2105 - 2117
  • [40] Investigating secondary ice production in a deep convective cloud with a 3D bin microphysics model: Part II - Effects on the cloud formation and development
    Grzegorczyk, Pierre
    Wobrock, Wolfram
    Canzi, Antoine
    Niquet, Laurence
    Tridon, Frederic
    Planche, Celine
    ATMOSPHERIC RESEARCH, 2025, 314