Influence of Horizontal Heat Transfer in the Atmosphere Boundary Layer on the Relationship Between the SOA’s Brightness Temperature and Surface Heat Fluxes: Modeling

2015 ◽  
pp. 73-84
Author(s):  
Alexander G. Grankov ◽  
Alexander A. Milshin
Keyword(s):  
Heat Transfer ◽  
Boundary Layer ◽  
Brightness Temperature ◽  
Surface Heat ◽  
Heat Fluxes ◽  
Surface Heat Fluxes ◽  
The Relationship

Convective Boundary Layers Driven by Nonstationary Surface Heat Fluxes

2011 ◽  
Vol 68 (4) ◽  
pp. 727-738 ◽  
Author(s):  
Robert van Driel ◽  
Harm J. J. Jonker
Keyword(s):  
Boundary Layer ◽  
Mixed Layer ◽  
Surface Heat ◽  
Heat Fluxes ◽  
Layer Model ◽  
Convective Boundary ◽  
Surface Heat Fluxes ◽  
Large Eddy ◽  
Convective Boundary Layers ◽  
Mixed Layer Model

In this study the response of dry convective boundary layers to nonstationary surface heat fluxes is systematically investigated. This is relevant not only during sunset and sunrise but also, for example, when clouds modulate incoming solar radiation. Because the time scale of the associated change in surface heat fluxes may differ from case to case, the authors consider the generic situation of oscillatory surface heat fluxes with different frequencies and amplitudes and study the response of the boundary layer in terms of transfer functions. To this end both a mixed layer model (MLM) and a large-eddy simulation (LES) model are used; the latter is used to evaluate the predictive quality of the mixed layer model. The mixed layer model performs generally quite well for slow changes in the surface heat flux and provides analytical understanding of the transfer characteristics of the boundary layer such as amplitude and phase lag. For rapidly changing surface fluxes (i.e., changes within a time frame comparable to the large eddy turnover time), it proves important to account for the time it takes for the information to travel from the surface to higher levels of the boundary layer such as the inversion zone. As a follow-up to a 1997 study by Sorbjan, who showed that the conventional convective velocity scale is inadequate as a scaling quantity during the decay phase, this paper addresses the issue of defining, in (generic) transitional situations, a velocity scale that is solely based on the surface heat flux and its history.

scholarly journals Boundary Layer and Microphysical Influences of Natural Cloud Seeding on a Lake-Effect Snowstorm

2006 ◽  
Vol 134 (7) ◽  
pp. 1842-1858 ◽  
Author(s):  
Joshua J. Schroeder ◽  
David A. R. Kristovich ◽  
Mark R. Hjelmfelt
Keyword(s):  
Boundary Layer ◽  
Growth Rates ◽  
Lake Michigan ◽  
Surface Heat ◽  
Heat Fluxes ◽  
Convective Boundary ◽  
Surface Heat Fluxes ◽  
Lake Effect ◽  
Aircraft Observations

Abstract The first detailed observations of the interaction of a synoptic cyclone with a lake-effect convective boundary layer (CBL) were obtained on 5 December 1997 during the Lake-Induced Convection Experiment. Lake-effect precipitation and CBL growth rates were enhanced by natural seeding by snow from higher-level clouds and the modified thermodynamic structure of the air over Lake Michigan due to the cyclone. In situ aircraft observations, project and operational rawinsondes, airborne radar, and operational Weather Surveillance Radar-1988 Doppler data were utilized to document the CBL and precipitation structure for comparison with past nonenhanced lake-effect events. Despite modest surface heat fluxes of 100–200 W m−2, cross-lake CBL growth was greatly accelerated as the convection merged with an overlying reduced-stability layer. Over midlake areas, CBL growth rates averaged more than twice those previously reported for lake-effect and oceanic cold-air outbreak situations. Regions of the lake-effect CBL cloud deck were seeded by precipitation from higher-level clouds over the upwind (western) portions of Lake Michigan before the CBL merged with the overlying reduced-stability layer. In situ aircraft observations suggest that in seeded regions, the CBL was deeper than in nonseeded regions. In addition, average water-equivalent precipitation rates for all of the passes with seeded regions were more than an order of magnitude greater in seeded regions than nonseeded regions because of higher concentration of snow particles of all sizes. A maximum snowfall rate of 4.28 mm day−1 was calculated using aircraft particle observations in seeded regions, comparable to snowfall rates previously reported for lake-effect events, often with much larger surface heat fluxes, but not interacting with synoptic cyclones.

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