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Attenuation Correction of X-Band Radar Reflectivity Using Adjacent Multiple Microwave Links

Authors :
Byung Hyuk Kwon
Min-Seong Kim
Source :
Remote Sensing, Volume 12, Issue 13, Pages: 2133, Remote Sensing, Vol 12, Iss 2133, p 2133 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

Rain attenuation can hinder the implementation of quantitative precipitation estimations using X-band weather radar. Numerous studies have been conducted on correcting the attenuation of radar reflectivity by utilizing a dual-polarimetric radar and an arbitrary-oriented microwave link; however, there is a need to optimize the required number of microwave links and their locations. In this study, we tested four attenuation correction methods and proposed a novel algorithm based on the sole use of adjacent multiple microwave links. The attenuation of the X-band radar reflectivity was corrected by performing forward iterations at each link, and the correction coefficients were statistically analyzed to reduce the instability problem. The algorithms of each method were evaluated by studying the cases of convective and stratiform rainfall, and then validated by comparing the corrected reflectivity of the X-band radar with the qualitatively controlled reflectivity of the S-band radar. The new method was as efficient as the conventional method based on the specific differential phase of dual-polarimetric radar. Furthermore, the correction coefficient was more effectively optimized and stabilized using seven microwave links rather than a single link, and no further independent reference data were required. In addition, the attenuation correction also accounted for spatiotemporal differentiation depending on the rainfall type, and could recover the physical structure of the rainfall. The method developed herein can facilitate estimations of quantitative rainfall in developing countries where dual-polarization weather radars are not common. The exploitation of microwave link data is a promising method for rainfall remote sensing.

Details

ISSN :
20724292
Volume :
12
Database :
OpenAIRE
Journal :
Remote Sensing
Accession number :
edsair.doi.dedup.....16eb6d5b0ed4748079cb976db4299dee