Abstract
To compensate radar reflectivity for attenuation effect, a new method for attenuation correction of the radar reflectivity using arbitrary oriented microwave link (referred henceforth to as ACML) is developed and evaluated. Referring to the measurement of arbitrary oriented microwave link, the ACML method optimizes the ratio of specific attenuation to specific differential phase which is a key parameter in attenuation correction schemes. The proposed method was evaluated using real data of a dual-polarization X-band radar and measurements of two microwave links during two rainstorm events. The results showed that the variation range of the optimized ratio was overall consistent with the results of the previous studies. After attenuation correction with the optimal ratios, the radar reflectivity was significantly compensated, especially at long distances. The corrected reflectivity was more intense than the reflectivity corrected by the “self-consistent” (SC) method and closer to the reflectivity of a nearby S-band radar. The effectiveness of the method was also verified by comparing the rain rates estimated by the X-band radar with those derived by rain gauges. It is demonstrated that arbitrary oriented microwave link can be adopted to optimize the attenuation correction of radar reflectivity.
Highlights
Weather radar plays an important role in weather surveillance due to its high spatial-temporal resolution
Data were obtained from an X-band dual-polarization radar (XR), an Sband single polarization radar (SR), a microwave link (ML), and six rain gauges
By minimizing the difference between the mean specific attenuations along the link path retrieved by microwave link and radar, the ratio α of specific attenuation to specific differential phase which is a key parameter in attenuation correction schemes is optimized
Summary
Weather radar plays an important role in weather surveillance due to its high spatial-temporal resolution. Compared with the long wavelength (e.g., S- and C-band) radars, short wavelength (e.g., X-band) radars have some advantages, including smaller-sized antenna and higher sensitivity of the differential phase shift to rain rate. An urban remote sensing network composed of eight dual-polarization (DP) X-band radars was deployed to overcome the WSR-88DP coverage limitations and provide flash flood warnings [1]. The impact of attenuation caused by precipitation at higher frequencies needs to be compensated for successful implementation of quantitative precipitation estimation (QPE). Various methods have been developed to correct the attenuated radar reflectivity. Because the actual amount of attenuation is unknown, the existing methods for attenuation correction still have many problems. For dual-polarized radar, many attenuation correction algorithms were developed
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