Method for recoding second category of product data of Doppler weather radar

Abstract

The invention relates to a method for recoding a second category of product data of Doppler weather radar. The method comprises the following steps of: after initializing a system, extracting product representation block data which describes a radar product image; then reading the product representation block data row by row and byte by byte; according to each read byte, calculating a color index value and length of each product image color block; in each data row, accumulating the length values of the color blocks which continuously appear and have the same color, and storing the accumulated length values and the color index values in pairs until an accumulated length value is greater than 255 or a color value is changed so as to complete recoding. By adopting the technical scheme of the invention, a storage volume of the second category of product data can be reduced to implement traffic saving so as to improve a downloading speed of the data and a loading speed of a client.

Description

technical field [0001] The invention relates to the field of meteorological data encoding processing, in particular to a method for re-encoding the second type of product data of Doppler weather radar. Background technique [0002] According to the third-level archive data format of the next-generation weather radar compiled by the National Climatic Data Center of the United States in 1998, the file format of the new-generation weather radar (Cinrad) is divided into three categories: the first category is the basic data, which is stored in polar coordinates The data obtained by radar volume scanning has a relatively simple structure; the second category is radar products, which are hydrometeorological products generated after processing by various algorithms. Software (referred to as PUP) display; the third category is product images, which are pictures in common formats such as GIF generated by PUP. [0003] When developing on the iOS side based on the second type of produ...

AI Technical Summary

Problems solved by technology

[0003] When developing on the iOS side based on the second type of product data, it was found that although the pixel-by-pixel encoding method of the second type of product data can make all product files consistent in size and regularity, it also leads to data files The size is large, and the downloading and loading speed of data files is seriously affected when the resources of the mobile terminal system are insufficient. Therefore, it is considered that the data of the second-generation Doppler weather radar can be recoded to reduce the Reduce the volume of the second type of product data to save traffic, improve the download speed of data and the loading speed of the client

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