Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Attenuation Correction for Ka-band Cloud Radar Using X-band Weather Radar Data

Version 1 : Received: 1 November 2016 / Approved: 1 November 2016 / Online: 1 November 2016 (10:05:18 CET)

How to cite: Zhang, P.; Chen, Y. Attenuation Correction for Ka-band Cloud Radar Using X-band Weather Radar Data. Preprints 2016, 2016110010. https://doi.org/10.20944/preprints201611.0010.v1 Zhang, P.; Chen, Y. Attenuation Correction for Ka-band Cloud Radar Using X-band Weather Radar Data. Preprints 2016, 2016110010. https://doi.org/10.20944/preprints201611.0010.v1

Abstract

In order to correct attenuated millimeter-wavelength (Ka-band) radar data and address the problem of instability, an attenuation correction methodology (attenuation correction with variation trend constraint; VTC) was developed. Using synchronous observation conditions and multi-band radars, the VTC method adopts the variation trends of reflectivity in X-band radar data captured with wavelet transform as a constraint to adjust reflectivity factors of millimeter-wavelength radar. The correction was evaluated by comparing reflectivities obtained by millimeter-wavelength cloud radar and X-band weather radar. Experiments showed that attenuation was a major contributory factor in the different reflectivities of the two radars when relatively intense echoes exist, and the attenuation correction developed in this study significantly improved data quality for millimeter-wavelength radar. Reflectivity differences between the two radars were reduced and reflectivity correlations were enhanced. Errors caused by attenuation were eliminated, while variation details in the reflectivity factors were retained. The VTC method is superior to the bin-by-bin method in terms of correction amplitude and can be used for attenuation correction of shorter wavelength radar assisted by longer wavelength radar data.

Keywords

millimeter-wavelength cloud radar; attenuation correction; dual-radar; data fusion

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

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