Stratocumulus processing of gases and cloud condensation nuclei - 1. Trajectory ensemble model

被引:61
作者
Feingold, G
Kreidenweis, SM
Zhang, YP
机构
[1] NOAA, Environm Technol Lab, Cooperat Inst Res Atmosphere, Boulder, CO 80303 USA
[2] Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
关键词
D O I
10.1029/98JD01750
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Aqueous-phase processing of gases and of the cloud condensation nucleus (CCN) spectrum is addressed using a trajectory ensemble model. We first derive a set of boundary layer parcel trajectories from a large-eddy simulation model (LES) and then use this trajectory set for subsequent cloud microphysical/chemical studies. We explore this approach in the stratocumulus-capped marine boundary layer and show examples of aqueous-phase processing of gases and CCN. The microphysical model is a Lagrangian parcel model that is driven by the thermodynamic and kinematic fields produced by the LES and calculates CCN deliquescence and droplet growth by condensation on a moving mass grid. It is coupled with a sulfate chemistry model that treats oxidation of S(IV) to S(VI) via ozone and hydrogen peroxide for a size-resolved droplet spectrum. The model reproduces the observed (and previously modeled) aqueous processing of particles that leads to growth of CCN and lowering of their critical supersaturations. Results show that important information on parcel in-cloud residence times and boundary layer mixing timescales can be gleaned from this approach. By averaging the results of 500 parcel trajectories, a more representative picture of CCN and gas processing is obtained compared with that derived from a single parcel simulation representing average conditions. Finally, processed CCN spectra are used as input to a coupled microphysical/dynamical cloud-resolving model, and it is suggested that cloud processing may either enhance or suppress drizzle formation, depending on the concentration and sixes of the CCN.
引用
收藏
页码:19527 / 19542
页数:16
相关论文
共 58 条
[1]  
ACKERMAN AS, 1995, J ATMOS SCI, V52, P1204, DOI 10.1175/1520-0469(1995)052<1204:AMFPMT>2.0.CO
[2]  
2
[3]   AEROSOLS, CLOUD MICROPHYSICS, AND FRACTIONAL CLOUDINESS [J].
ALBRECHT, BA .
SCIENCE, 1989, 245 (4923) :1227-1230
[4]  
BETTS AK, 1990, J ATMOS SCI, V47, P1480, DOI 10.1175/1520-0469(1990)047<1480:ACTIAM>2.0.CO
[5]  
2
[6]  
BOWER KN, 1993, Q J ROY METEOR SOC, V119, P655, DOI 10.1002/qj.49711951204
[7]   VODE - A VARIABLE-COEFFICIENT ODE SOLVER [J].
BROWN, PN ;
BYRNE, GD ;
HINDMARSH, AC .
SIAM JOURNAL ON SCIENTIFIC AND STATISTICAL COMPUTING, 1989, 10 (05) :1038-1051
[8]   THE PHOTOCHEMISTRY OF A REMOTE MARINE STRATIFORM CLOUD [J].
CHAMEIDES, WL .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1984, 89 (ND3) :4739-4755
[9]  
Cooper WA, 1997, J APPL METEOROL, V36, P1449, DOI 10.1175/1520-0450(1997)036<1449:CPTHSW>2.0.CO
[10]  
2