Preliminary Study on the Mosaic Algorithm of Weather Radar Network in Sichuan Province

Abstract

AbstractThe detection range of the ground-based unmovable single radar is limited, which is not enough to cover the weather system above the meso-β scale, and can not track the convective system moving from one radar detection area to another. When observing with a single radar, many problems will occur due to its geometric reasons, such as static cone region, beam broadening, beam height, and beam blocking. In the regional early warning and forecast, the role of a single weather radar has some limitations. In this paper, the data of multiple radars are unified into a unified coordinate system, and the vertical linear interpolation method (NVI) is used to grid the data of multiple radars. Finally, the distance-weighted method is used to fuse the spliced grid data to realize the high-precision weather radar network mosaic. The networking experiment with eight Doppler weather radars in Sichuan shows that the networking mosaic algorithm based on vertical linear interpolation method and distance weight fusion method can achieve high precision and reliable mosaic effect, which is beneficial for the better observation of the mesoscale weather system.KeywordsNetworking mosaicVertical linear interpolationDistance weight fusion