Arid Zone Research ›› 2019, Vol. 36 ›› Issue (3): 664-669.doi: 10.13866/j.azr.2019.03.17

• Water and Climate • Previous Articles     Next Articles

Automatic Recognition Technology of Weather Systems Resulting in Drought Based on Graphics

SHAO Jian1,2, HU Wen-dong3, YANG You-lin1, PEI Xiao-rong1, ZHENG Peng-hui2   

  1. 1. Key Laboratory of Characteristic Agrometeorological Disaster Monitoring and Early Warning and Risk Management in Arid Regions,Chine Meteorological Administration,Yinchuan 750002,Ningxia,China;
    2. Ningxia Meteorological Observatory,Yinchuan 750002,Ningxia,China;
    3. School of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu 610225,Sichuan,China
  • Received:2018-07-12 Revised:2018-11-01 Published:2025-10-18

Abstract: Based on the pattern recognition technique and weather systems which could cause drought were tested with tracking algorithm and vector analysis methods by using MICAPS,NCEP and EC-Thin data.The results showed that:① Synoptic scale troughs and ridges could be recognized with tracking algorithm,and their curvature characteristics could also be obtained; ② By using these methods,the recognition rates of pressure center could be as high as 90%,and the mean errors were lower than 0.5°.However,the recognition rates of troughs varied in a range of 74%-87%,and the mean errors in a range of 0.7°-1.4°.With revising the wind field,the accuracy was obviously improved,and the errors were reduced to some extent,which could basically meet the needs of predicting drought.

Key words: synoptic scale system, pattern recognition, auto-discrimination, tracking algorithm