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| Analysis of phenomenon recognition accuracy of HY-WP1A weather phenomenon intelligent observer |
| Zhang Dan, Ke Liping, Yan Ting, Yu Lv, Yu Zezhi, Liang Zhaoquan |
| Weining Meteorological Bureau,Weining 553100 |
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Abstract The identification results of dew,frost,rime,glaze,icing and snow weather processes by HY-WP1A weather phenomenon intelligent observer at Weining national weather station from January 11 to April 10,2022 are compared and analyzed with manual observation results in this paper.The results show that the hit rate of HY-WP1A weather phenomenon intelligent observer on glaze is low,the empty judgment rate of dew and frost is relatively high,and the hit rate of snow is high.The comparative observation analysis is made to provide a reliable basis for the optimization of the automatic recognition algorithm adopted by HY-WP1A weather phenomenon intelligent observer.
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Received: 16 May 2022
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2023, Vol. 40 
