A Three-Dimensional Correlation/Spectral Model for Turbulent Velocities in a Convective Boundary Layer

1997 ◽  
Vol 85 (1) ◽  
pp. 35-52 ◽  
Author(s):  
D. Keith Wilson
Keyword(s):  
Boundary Layer ◽  
Convective Boundary Layer ◽  
Three Dimensional ◽  
Spectral Model ◽  
Convective Boundary

scholarly journals Evaluation of an LES-Based Wind Profiler Simulator for Observations of a Daytime Atmospheric Convective Boundary Layer

2008 ◽  
Vol 25 (8) ◽  
pp. 1423-1436 ◽  
Author(s):  
Danny E. Scipión ◽  
Phillip B. Chilson ◽  
Evgeni Fedorovich ◽  
Robert D. Palmer
Keyword(s):  
Boundary Layer ◽  
Convective Boundary Layer ◽  
Three Dimensional ◽  
Radar Data ◽  
Radar Signal ◽  
Wind Fields ◽  
Convective Boundary ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Signal Processing Algorithms

Abstract The daytime atmospheric convective boundary layer (CBL) is characterized by strong turbulence that is primarily caused by buoyancy forced from the heated underlying surface. The present study considers a combination of a virtual radar and large eddy simulation (LES) techniques to characterize the CBL. Data representative of a daytime CBL with wind shear were generated by LES and used in the virtual boundary layer radar (BLR) with both vertical and multiple off-vertical beams and frequencies. To evaluate the virtual radar, a multiple radar experiment (MRE) was conducted using five virtual radars with common resolution volumes at two different altitudes. Three-dimensional wind fields were retrieved from the virtual radar data and compared with the LES output. It is shown that data produced from the virtual BLR are representative of what one expects to retrieve using a real BLR and the measured wind fields match those of the LES. Additionally, results from a frequency domain interferometry (FDI) comparison are presented, with the ultimate goal of enhancing the resolution of conventional radar measurements. The virtual BLR produces measurements consistent with the LES data fields and provides a suitable platform for validating radar signal processing algorithms.

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