Using digital cloud photogrammetry to characterize the onset and transition from shallow to deep convection over orography

被引:20
作者
Zehnder, Joseph A.
Zhang, Liyan
Hansford, Dianne
Radzan, Anshuman
Selover, Nancy
Brown, Constance M.
机构
[1] Arizona State Univ, Global Inst Sustainabil, Tempe, AZ 85287 USA
[2] Nanjing Univ Aeronaut & Astronaut, Res Ctr CAD CAM Engn, Nanjing 210016, Peoples R China
[3] Arizona State Univ, Partnership Res Spatial Modeling, Tempe, AZ 85287 USA
[4] Arizona State Univ, Dept Geog, Tempe, AZ 85287 USA
[5] Indiana Univ, Dept Geog, Atmospher Sci Program, Bloomington, IN 47405 USA
关键词
D O I
10.1175/MWR3194.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
An automated method for segmenting digital images of orographic cumulus and a simple metric for characterizing the transition from shallow to deep convection are presented. The analysis is motivated by the hypothesis that shallow convection conditions the atmosphere for further deep convection by moistening it and preventing the evaporation of convective turrets through the entrainment of dry air. Time series of convective development are compared with sounding and surface data for 6 days during the summer of 2003. The observations suggest the existence of a threshold for the initiation of shallow convection based on the surface equivalent potential temperature and the saturated equivalent potential temperature above the cloud base. This criterion is similar to that controlling deep convection over the tropical oceans. The subsequent evolution of the convection depends on details of the environment. Surface fluxes of sensible and latent heat, along with the transport of boundary layer air by upslope flow, increase the surface equivalent potential temperature and once the threshold value is exceeded, shallow convection begins. The duration of the shallow convection period and growth rate of the deep convection are determined by the kinematic and thermodynamic structure of the mid- and upper troposphere.
引用
收藏
页码:2527 / 2546
页数:20
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