Study on the Network Mosaic Method of X-band Dual-polarization Phased Array Weather Radars and S-band Weather Radars
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Abstract:
In recent years, the X-band dual-polarization phased array weather radars (X-PAR) have been densely deployed in multiple regions across China, with the advantage of high spatiotemporal resolution. However, the data quality and limited coverage of single X-PAR are restricted factors of its application. Taking advantage of the radar network consist of the S-band dual-polarization weather radar (S-POL) and X-PAR, the research aims to obtain precise three-dimensional observation results. In this study, the data quality evaluation parameters were constructed for the radar variables of radars with different wavelengths to achieve the interpolation and mosaicking of single-wavelength radar networks. Furthermore, by calculating the deviations between the S-POL and X-PAR radar mosaics, the S-POL mosaic was taken as a background field with the low-resolution and credible characteristic, and integrate the observed detail structures from the X-PAR mosaic, the fusion of the S-POL and X-PAR radar mosaics was realized. The results show that by calculating the data quality evaluation parameters, combining the spatial distance from radar bins to grid points, and setting weights to perform interpolation and mosaicking for each radar, the mosaics can retain the high-quality observations and common observational characteristics of each radar. The fusion method of the S-POL and X-PAR radar mosaics simultaneously realizes the retention of the intensity distribution of the S-POL and the detailed features of the X-PAR. This method can utilize the observational advantages of the densely networked S-POL and X-PAR and obtain an accurate and detailed three-dimensional radar observation field.