Sensitivity of cirrus and mixed-phase clouds to the ice nuclei spectra in McRAS-AC: single column model simulations

被引:8
|
作者
Betancourt, R. Morales [1 ]
Lee, D. [2 ]
Oreopoulos, L.
Sud, Y. C.
Barahona, D. [3 ]
Nenes, A. [1 ,4 ]
机构
[1] Georgia Inst Technol, Sch Earth & Atmospher Sci, Atlanta, GA 30332 USA
[2] USRA Goddard Earth Sci Technol & Res, Columbia, MD 21044 USA
[3] NASA, Goddard Space Flight Ctr, IM Syst Grp, Greenbelt, MD 20771 USA
[4] Georgia Inst Technol, Sch Chem & Biomol Engn, Atlanta, GA 30332 USA
关键词
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.
引用
收藏
页码:10679 / 10692
页数:14
相关论文
共 47 条
  • [31] Origin and removal of mixed-phase artifacts in gradient sensitivity enhanced heteronuclear single quantum correlation spectra
    Frans A. A. Mulder
    Renee Otten
    Ruud M. Scheek
    Journal of Biomolecular NMR, 2011, 51
  • [32] Arctic mixed-phase clouds simulated by a cloud-resolving model: Comparison with ARM observations and sensitivity to microphysics parameterizations
    Luo, Yali
    Xu, Kuan-Man
    Morrison, Hugh
    McFarquhar, Greg
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2008, 65 (04) : 1285 - 1303
  • [33] 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
  • [34] Important Ice Processes Are Missed by the Community Earth System Model in Southern Ocean Mixed-Phase Clouds: Bridging SOCRATES Observations to Model Developments
    Zhao, Xi
    Liu, Xiaohong
    Burrows, Susannah
    DeMott, Paul J.
    Diao, Minghui
    McFarquhar, Greg M.
    Patade, Sachin
    Phillips, Vaughan
    Roberts, Greg C.
    Sanchez, Kevin J.
    Shi, Yang
    Zhang, Meng
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2023, 128 (04)
  • [35] Arctic mixed-phase clouds simulated by the WRF model: Comparisons with ACLOUD radar and in situ airborne observations and sensitivity of microphysics properties
    Arteaga, Diana
    Planche, Celine
    Tridon, Frederic
    Dupuy, Regis
    Baudoux, Antoine
    Banson, Sandra
    Baray, Jean-Luc
    Mioche, Guillaume
    Ehrlich, Andre
    Mech, Mario
    Mertes, Stephan
    Wendisch, Manfred
    Wobrock, Wolfram
    Jourdan, Olivier
    ATMOSPHERIC RESEARCH, 2024, 307
  • [36] High Potential of Asian Dust to Act as Ice Nucleating Particles in Mixed-Phase Clouds Simulated With a Global Aerosol-Climate Model
    Kawai, Kei
    Matsui, Hitoshi
    Tobo, Yutaka
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2021, 126 (12)
  • [37] Counterflow virtual impact or based collection of small ice particles in mixed-phase clouds for the physico-chemical characterization of tropospheric ice nuclei : Sampler description and first case study
    Mertes, S.
    Verheggen, B.
    Walter, S.
    Connolly, P.
    Ebert, M.
    Schneider, J.
    Bower, K. N.
    Cozic, J.
    Weinbruch, S.
    Baltensperger, U.
    Weingartner, E.
    AEROSOL SCIENCE AND TECHNOLOGY, 2007, 41 (09) : 848 - 864
  • [38] Multi-layer arctic mixed-phase clouds simulated by a cloud-resolving model: Comparison with ARM observations and sensitivity experiments
    Luo, Yali
    Xu, Kuan-Man
    Morrison, Hugh
    McFarquhar, Greg M.
    Wang, Zhien
    Zhang, Gong
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2008, 113 (D12)
  • [39] 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)
  • [40] Online single particle analysis of ice particle residuals from mountain-top mixed-phase clouds using laboratory derived particle type assignment
    Schmidt, Susan
    Schneider, Johannes
    Klimach, Thomas
    Mertes, Stephan
    Schenk, Ludwig Paul
    Kupiszewski, Piotr
    Curtius, Joachim
    Borrmann, Stephan
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (01) : 575 - 594