Windprofiler optimization using digital deconvolution procedures

Hocking, W. K.; Hocking, A.; Hocking, D.G.; Garbanzo-Salas, Marcial

doi:10.1016/j.jastp.2013.08.025

Cited by 5 publications

(11 citation statements)

References 18 publications

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“…Once the series of values pR is known, it is just a matter of going back to the time (distance) domain and obtaining the atmospheric profile Pr. More details about this process, and the radars and data used in the deconvolution section of this process are available (Hocking et al, 2014). The Costa Rican radar (described in Hocking et al, 2014) generated the data used for the deconvolution.…”

Section: Deconvolution Theory and Layer Isolation Enhancementmentioning

confidence: 99%

“…More details about this process, and the radars and data used in the deconvolution section of this process are available (Hocking et al, 2014). The Costa Rican radar (described in Hocking et al, 2014) generated the data used for the deconvolution. During the digitization process noise is also detected along with the desired signal.…”

Section: Deconvolution Theory and Layer Isolation Enhancementmentioning

confidence: 99%

“…Avoiding the noise is crucial in order to obtain a good approximation of the true convolution. In Hocking et al (2014), the process used to avoid noise outside of the band of interest is explained. By using adequate hardware filtering the noise from other frequency bands is not mapped into the final digitized convolution.…”

Section: Deconvolution Theory and Layer Isolation Enhancementmentioning

confidence: 99%

See 2 more Smart Citations

Spectral analysis comparisons of Fourier-theory-based methods and minimum variance (Capon) methods

Garbanzo-Salas

Hocking

2015

Journal of Atmospheric and Solar-Terrestrial Physics

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Section: Deconvolution Theory and Layer Isolation Enhancementmentioning

confidence: 99%

Section: Deconvolution Theory and Layer Isolation Enhancementmentioning

confidence: 99%

Section: Deconvolution Theory and Layer Isolation Enhancementmentioning

confidence: 99%

See 1 more Smart Citation

Spectral analysis comparisons of Fourier-theory-based methods and minimum variance (Capon) methods

Garbanzo-Salas

Hocking

2015

Journal of Atmospheric and Solar-Terrestrial Physics

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“…Recently, some efforts on the calibration process of radar echoes were made to improve the performance of RIM (Chen et al, 2014b). In addition to the aforementioned works of RIM, a deconvolution procedure working with a swept-frequency pulse has been employed (Hocking et al, 2014), which also provided a range resolution higher than the pulse-defined value.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of multifrequency range imaging technique implemented on the Chung–Li VHF atmospheric radar

Chen

Tsai

et al. 2016

Atmos. Meas. Tech.

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Abstract. The multifrequency range imaging technique (RIM) has been implemented on the Chung-Li VHF array radar since 2008 after its renovation. This study made a more complete examination and evaluation of the RIM technique to facilitate the performance of the radar for atmospheric studies. RIM experiments with various radar parameters such as pulse length, pulse shape, receiver bandwidth, transmitter frequency set, and so on were conducted. The radar data employed for the study were collected from 2008 to 2013. It has been shown that two factors, the range/time delay of the signal traveling in the media and the standard deviation of Gaussian-shaped range-weighting function, play crucial roles in ameliorating the RIM-produced brightness (or power distribution); the two factors are associated with some radar parameters and system characteristics. The range/time delay of the signal was found to increase with time; moreover, it was slightly different for the echoes from the atmosphere with and without the presence of significant precipitation. A procedure of point-by-point correction of range/time delay was thus executed for the presence of precipitation to minimize the bogus brightness discontinuity at range gate boundaries. With the RIM technique, the Chung-Li VHF radar demonstrates its first successful observation of double-layer structures as well as their temporal and spatial variations with time.

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“…Frequency-modulated continuous-wave (FM-CW) radars are high-resolution and highly sensitive instruments (Richter, 1969) that allow the study of the fine-structure atmosphere with typical resolution of 1 m but only up to 1-2 km. There have been other studies or campaigns that aim to detect turbulent layers in the troposphere and stratosphere with reasonable resolution: Röttger and Schmidt (1979) used high-resolution pulse scanning to improve the range resolution (∼ 30 m), Cho et al (1996) detected turbulent layers above the tropopause with a 20 m radar resolution, and Hocking et al (2014) used digital deconvolution to achieve wind profiler measurements with 60 m resolution Additional measurements are clearly needed, both at higher resolution and with complementary sensitivities to the phenomena of interest. Hocking and Mu (1997) examined the conversion from structure function parameter of refractive index (C 2 n ) to kinetic eddy dissipation rates ( ) from Buckland Park radar data by using in situ high-resolution thermosonde data (∼1 m) to optimize the measurement accuracy.…”

mentioning

confidence: 99%

Simultaneous observations of structure function parameter of refractive index using a high-resolution radar and the DataHawk small airborne measurement system

et al. 2016

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Abstract. The SOUSY (SOUnding SYstem) radar was relocated to the Jicamarca Radio Observatory (JRO) near Lima, Peru, in 2000, where the radar controller and acquisition system were upgraded with state-of-the-art parts to take full advantage of its potential for high-resolution atmospheric sounding. Due to its broad bandwidth (4 MHz), it is able to characterize clear-air backscattering with high range resolution (37.5 m).A campaign conducted at JRO in July 2014 aimed to characterize the lower troposphere with a high temporal resolution (8.1 Hz) using the DataHawk (DH) small unmanned aircraft system, which provides in situ atmospheric measurements at scales as small as 1 m in the lower troposphere and can be GPS-guided to obtain measurements within the beam of the radar. This was a unique opportunity to make coincident observations by both systems and to directly compare their in situ and remotely sensed parameters.Because SOUSY only points vertically, it is only possible to retrieve vertical radar profiles caused by changes in the refractive index within the resolution volume. Turbulent variations due to scattering are described by the structure function parameter of refractive index C 2 n . Profiles of C 2 n from the DH are obtained by combining pressure, temperature, and relative humidity measurements along the helical trajectory and integrated at the same scale as the radar range resolution. Excellent agreement is observed between the C 2 n estimates obtained from the DH and SOUSY in the overlapping measurement regime from 1200 m up to 4200 m above sea level, and this correspondence provides the first accurate calibration of the SOUSY radar for measuring C 2 n .

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Windprofiler optimization using digital deconvolution procedures

Cited by 5 publications

References 18 publications

Spectral analysis comparisons of Fourier-theory-based methods and minimum variance (Capon) methods

Spectral analysis comparisons of Fourier-theory-based methods and minimum variance (Capon) methods

Evaluation of multifrequency range imaging technique implemented on the Chung–Li VHF atmospheric radar

Simultaneous observations of structure function parameter of refractive index using a high-resolution radar and the DataHawk small airborne measurement system

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