Article Details

Abstract

This paper mainly studies the use of the JSONP format data provided by CMADaaS to build the Web platform. After the cross-domain request of data, it directly uses the browser to visualize the meteorological data, eliminates the server construction link, and reduces the threshold and cost. In addition, after obtaining the minute rainfall dataset, the sliding cumulative rainfall of different time grades is calculated and visualized in the form of charts. Compared with a large part of the platforms which display meteorological elements based on GIS system, the chart form has the advantages of more conciseness, efficiency, and intuitiveness. At the same time, the chart can automatically update the data in the case of reducing human-computer interaction, and can provide more abundant information in the same interface, which is conducive to the rapid analysis, research, and judgment of real-time rainfall information, and increases the amount of advance for the release of rainstorm warning.

Keywords

CMADaaS; JavaScript; rainfall real-time platform

References

1. [1] Chen Pengxin, Ji Caoxiang, Zhang Haiyang, etc Design and Application of Shenyang Smart Meteorological Data Application Service Platform Based on "Tianqing" [J]. Shaanxi Meteorology, 2023 (4): 56-62
2. [2] Li Xianfeng, Zhang Wei, Li Fen, etc Real time Grid Product Application Analysis Platform and Key Technologies Based on WebGIS [J]. Meteorological Technology, 2020, 48 (2): 185-194
3. [3] Feng Xian, Qu Youming, Liu Xiaobo, etc Design and Implementation of Hunan Meteorological Service Platform Based on Plugin Technology [J]. Meteorological Science and Technology, 2023, 51 (5): 658-667
4. [4] Liu Bin, Li Xiaopeng Design and Application of Meteorological Information Query System Based on HTML5 [J]. Meteorological Technology, 2016, 44 (3): 369-373+391
5. [5] Chen Jinghua, Deng Li, Wang Shu, etc Design and Application of National Meteorological Service Intranet WebGIS Data Service System [J]. Meteorological Technology, 2020, 48 (4): 496-502
6. [6] Xu Haohao, Yao Risheng, Wo Weifeng Design and Implementation of Standardized Meteorological Data Service Interface [J]. Meteorological Technology, 2018, 46 (4): 685-691
7. [7] Liu Yuanyuan, He Wenchun, Wang Yan, etc Design and Implementation of Archiving System for Meteorological Big Data Cloud Platform [J]. Meteorological Technology, 2021, 49 (5): 697-706
8. [8] Huo Qing, He Wenchun, Gao Feng, etc Design and Application of Meteorological Algorithm Scheduling Framework Based on Data Perception [J]. Journal of Applied Meteorology, 2024, 35 (4): 502-512
9. [9] Dong Liangmiao, Li Yuzhong, Qin Yuefeng, etc Development and Interface Application Skills of "Tianqing" Forecast Service Client [J]. Meteorological Technology, 2022, 50 (2): 297-302
10. [10] Xiao Weiqing, Xue Lei, Liu Zhen, etc Design and Implementation of Data Stream Processing for Ground Automatic Meteorological Stations [J]. Journal of Applied Meteorology, 2024, 35 (3): 373-384

Funding

Yunnan Provincial Meteorological Bureau Grassroots Station Meteorological Technology Innovation and Capability Enhancement Plan Project STIAP (STIAP202224)

About the authors

Zheng Shutian (1994-), male, Han ethnicity, born in Honghe, Yunnan, is an engineer with a Bachelor of Science degree. His research interests include weather forecasting and related applications.