基于多源观测数据的强沙尘天气过程诊断
Diagnosis of severe dust weather process based on multi-source observational data
基于多源观测数据的强沙尘天气过程诊断 |
| 王悦, 衣娜娜, 姜学恭, 宁贵财, 苏练, 夏海云 |
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Diagnosis of severe dust weather process based on multi-source observational data |
| Yue Wang, Nana Yi, Xuegong Jiang, Guicai Ning, Lian Su, Haiyun Xia |
| 图8 北京市（A）2023年3月22日08:00探空曲线，（B）21日00:00—23日00:00风速、风向、温度、相对湿度，地面气压时间变化，（C）21日12:00—23日00:00 PM10和风场（u，v）时间变化（3月22日02:00和05:00的PM10值缺测） |
| Fig.8 （A） The Skew T-lnP diagram of Beijing Sounding Station at 08:00 BJT on 22， March 2023， （B） Time series of wind speed， wind direction， temperature， relative humidity， ground pressure in Beijing City from 00:00 BJT 21 to 00:00 BJT 23， March 2023， （C） The temporal changes of PM10 and wind field （u，v） during sand and dust pollution weather events in cities along the route of dust pollution weather event from 12:00 BJT 21 to 00:00 BJT 23， March 2023 （Missing PM10 values at 02:00 and 05:00 on March 22） |
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