Title :
Spatial-Temporal Differential Analysis for Profiling the Atmosphere, 2, Experimental Results
Author :
Praskovskaya, Eleanor ; Praskovsky, Alexander
Author_Institution :
EnerLab. Inc., Fort Lauderdale, FL
Abstract :
We consider an application of the spatial-temporal differential analysis (STDA) to measuring characteristics of the atmosphere with spaced antenna wind profilers. STDA is a new method for processing multiple signals which utilizes spatial and temporal scintillations in the instantaneous signal power on the radar antenna. To test the practical potential of STDA, we used actual signals from the multiple antennas profiling radar (MAPR). The goal was to measure mean horizontal winds and characteristics of atmospheric turbulence in the presence of intensive ground clutter. The STDA results in the atmospheric boundary layer at a height of 300 m above the ground are compared with simultaneous measurements by a sonic anemometer located atop a 300-m tower 600 m distant from MAPR. Second-order structure functions for multiple radar signals were used for the processing. We demonstrate that this simplified STDA technique provides a good performance by reliably measuring mean winds in cluttered environment It also enables comprehensive measurements of atmospheric turbulence which no other known methodology is able to provide
Keywords :
anemometers; antenna arrays; atmospheric boundary layer; atmospheric turbulence; geophysical signal processing; radar antennas; radar clutter; radar signal processing; spatiotemporal phenomena; wind; 300 m; 600 m; MAPR; STDA; atmospheric boundary layer; atmospheric turbulence measurement; intensive ground clutter; mean horizontal wind measurement; multiple antennas profiling radar; multiple radar signal processing; radar antenna; second-order structure function; sonic anemometer; spaced antenna; spatial-temporal differential analysis; Antenna measurements; Atmosphere; Atmospheric measurements; Clutter; Fluid flow measurement; Poles and towers; Radar antennas; Radar signal processing; Signal processing; Testing; atmospheric profiling; differential analysis; signal processing; space-time processing; turbulence;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343538