Convective Storm Initiation Algorithm Based On Three-dimensional Radar Data

Convection weather is one of the severe weather in china and often poses seriousthreats on the product and life of human beings. Doppler weather radar is a majorshort-term severe weather monitoring tool. This paper presents a convection initiationalgorithm based on Doppler weather radar data, CI defined in this study is the first todetect the radar reflectivity of clouds produce greater than or equal to35dBZ. Themain contents of this paper are divided into the following sections:The first part is the raw radar observation data converts into Cartesian coordinatesystem grid data. In this paper, the NVI interpolation algorithm converts raw radardata into three-dimensional Cartesian grid. Combined with the actual radar datastorage, we use sort, binary search, and other basic algorithms to optimize theimplementation details of the interpolation algorithm.The second part is a convective storm adaptive threshold recognition algorithm.Adaptive threshold recognition convective storm algorithm is based on a given set ofthresholds to automatically select the appropriate threshold and threshold valuescorresponding storm body. The main reason for using this method is to simultaneouslyidentify the independent convective cells with smaller reflectivity threshold andconvective cells with larger reflectivity threshold in large convective cells. Convectivestorm adaptive threshold recognition algorithm presents in this paper use the recursivethought based on a single threshold storm identification algorithm.The third part is the design and implementation of convective storm initiationalgorithm. Using the three-dimensional convective storm indicators CIR anddistribution of high-level echo information forecast the CI in0-20minutes, CIR isdefined in this study is the convection intensity ratio. The first step is the need offinding the current time convective cells corresponding to the cells of last volumescan. By calculating current information on the distribution of high-level echoes, weclassify the convective cells into five states. Then we forecast convective initiation by calculatingof the change rate of the convective cells’CIR between two volume scan.