tested the effects of these mainly used interpolation and mosaic methods. studied the smoothing and filtering characteristics of these simple analytical methods through theoretical consideration. The common interpolation methods include the Nearest Neighbor, Vertical Horizontal Linear interpolation, the Cressman Weighting scheme, and Barnes interpolation. Because the vertical distribution of precipitation echoes is inhomogeneous, it is essential to interpolate data into the same height to reflect the precipitation intensity better. described a technique for taking the reflectivity data, and derived products from multiple radars and combining them in real time into a rapidly updating 3D merged grid. applied the Adaptive Barnes algorithm to radar data interpolation. National Severe Storms Laboratory has developed a four-dimensional dynamic grid (4DDG) to accurately represent discontinuous radar reflectivity data over a continuous 4D domain. developed a national 3D radar reflectivity mosaic system which was applied to assimilating data for convective scale numerical weather modeling and other uses. The National Severe Storms Laboratory utilized the infrastructure to integrate the radars within a system to produce a 3D radar mosaic grid for the USA.

Joint detection of multiple Doppler radars can provide a wider range and higher quality.

Such a limitation obstructed us from further revealing the laws of the atmospheric movement relevant to those weather systems. The coverage of the single immobile Doppler radar is too limited to detect large-scale weather systems, such as Meiyu, squall lines, and so on. Result shows that Exponential Weighting is an excellent method which can provide continuous three-dimensional reflectivity mosaic data.ĭoppler weather radar is the primary sensor for observing precipitation with high temporal and spatial resolution, which is highly advantageous in mesoscale meteorological research. The mean deviation filter filtering erroneous grid data and the data are fused by various fusion methods. Through comparison of constant altitude plan position indication (CAPPI) images obtained by the commonly used interpolation schemes and the improved Adaptive Barnes interpolation, it was found that the latter can provide consecutive reflectivity fields and retain high-resolution structure comparable to the raw data. In order to retain the physical characteristics of the raw data, the smoothing parameters of adaptive Barnes interpolation are improved which based on the space structure of the raw reflectivity data. In this paper, the methods of interpolating reflectivity volume scan data onto the grids in the Cartesian coordinate system and three-dimensional mosaic for gridded reflectivity data of several radars are studied. Multiple weather radars’ joint detection can enlarge the radar detection range and can improve the detection accuracy, which has become an important method to monitor large-scale weather effectively.

Weather dual doppler radar in motion