Author(s)

Ying Yuan

Corresponding Author

Ying Yuan

Abstract

In the era of big data, people can gain all kinds of meteorological information through different channels of information. In the face of ever-increasing diversified meteorological data, higher requirements are put forward for improving precision and timeliness of meteorological data acquisition. Under such background, Python language is applied to develop a meteorological data acquisition program which can define the area to crawl the data from www.nmc.cn. The program can capture key meteorological data and agricultural production guidance information in real time in different cities. Besides, the crawled data are saved locally, and displayed through graphical user interface. In this way, the meteorological data acquired can be exhibited to the public in an efficient and vivid way, which carries positive significance for improving weather forecast.

Keywords

Meteorological Data; Python; Web Crawler