Clutter mitigation, multiple peaks, and high-order spectral moments in 35&thinsp;GHz vertically pointing radar velocity spectra

Williams, Christopher R.; Maahn, Maximilian; Hardin, Joseph C.; de Boer, Gijs

doi:https://doi.org/10.5194/amt-11-4963-2018

Articles | Volume 11, issue 9

https://doi.org/10.5194/amt-11-4963-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-11-4963-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 9

Research article

|

03 Sep 2018

Research article |

| 03 Sep 2018

Clutter mitigation, multiple peaks, and high-order spectral moments in 35 GHz vertically pointing radar velocity spectra

Christopher R. Williams, Maximilian Maahn, Joseph C. Hardin, and Gijs de Boer

Supplement

https://doi.org/10.5194/amt-11-4963-2018-supplement

Data sets

Original raw KAZR spectra ARM Climate Research Facility https://doi.org/10.5439/1025218

Oliktok Point KAZR spectra DOE ARM archive https://iop.archive.arm.gov/arm-iop/0eval-data/williams/

Model code and software

ChristopherRWilliams/Oliktok_Point_KAZR_spectra: Original Release (Version v1.0) Williams, Christopher R. https://doi.org/10.5281/zenodo.1328196

Short summary

This study presents three signal-processing methods to improve estimates derived from a vertically pointing 35 GHz cloud radar deployed at Oliktok Point, Alaska. The first method removes ground clutter from the Doppler velocity spectra. The second method estimates multiple peaks and high-order moments from the improved spectra. The third method removes high-frequency variability in high-order moments by shifting original 2 s spectra to a common reference before averaging over a 15 s interval.