Research and implementation of standard format weather radar PUP product visualization application system
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1.Sichuan Meteorological Observation and Data Centre,Chengdu 610072, China; 2.Heavy Rain and DroughtFlood Disasters in Plateau and Basin Key Laboratory of Sichuan Province,Chengdu 610072, China

Clc Number:

TN95

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    Abstract:

    To fully leverage the business application capabilities of standard format radar PUP products, the visualization application system of PUP products of standard format weather radar is designed and developed. The overall architecture of the system, as well as solutions for the collection, decoding, processing, and sharing of standard format radar PUP products, were researched and designed. Considering the large volume of data characteristic of standard format radar PUP products, an improved RLE compression algorithm and an optimized radar image rendering method were proposed to effectively enhance the efficiency of product image display and achieve efficient visualization applications of standard format radar PUP products. Based on the B/S architecture, the system′s functionalities were implemented using mature technologies such as SpringMVC framework, HTML5, CSS, and WebGIS. It provides rich radar PUP product overlay display and sharing applications with GIS data for users across the province. Additionally, it offers layered overlay applications of ground observation data, lightning data, and radar PUP products. Upon deployment, it received positive feedback from meteorological business users, effectively enhancing the forecasting and warning capabilities for severe convective weather and hazardous weather events. The system has achieved early implementation of the standard format radar PUP product in the operational applications of meteorological departments nationwide, providing valuable reference for the visualization standard format radar PUP products in other provinces. It has broad application value for promotion.

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  • Received:
  • Revised:
  • Adopted:
  • Online: September 04,2024
  • Published: