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作 者:杜爱军 张强[2] 杨世琦 刘邢巍[4] 许超钤[5] 叶勤玉 DU Aijun;ZHANG Qiang;YANG Shiqi;LIU Xingwei;XU Chaoqian;YE Qinyu(Banan Meteorological Service,10 Longzhou Road,Chongqing 401320,China;Chongqing Meteorological Service,68 First-Xinpaifang Road,Chongqing 401147,China;Chongqing Institute of Meteorological Science,68 First-Xinpaifang Road,Chongqing 401147,China;Chongqing Geomatics Center,339 Longshan Road,Chongqing 401147,China;School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China)
机构地区:[1]重庆市巴南区气象局,重庆401320 [2]重庆市气象局,重庆401147 [3]重庆市气象科学研究所,重庆401147 [4]重庆市地理信息中心,重庆401147 [5]武汉大学测绘学院,武汉430079
出 处:《大地测量与地球动力学》2020年第2期134-139,共6页Journal of Geodesy and Geodynamics
基 金:重庆市气象局智慧气象技术创新团队项目(ZHCXTD-201816,ZHCXTD-201926);重庆市社会事业与民生保障科技创新专项(cstc2017shmsA120007)~~
摘 要:通过分析2018年2次典型降雨过程中大气可降水量(precipitable water vapor,PWV)的分布特征及其与实际降水量的关系,探讨PWV在预测降雨中的应用。结果表明,在降雨过程中,PWV的分布与实际降水量具有很好的相关性。PWV对降雨的发生具有一定的指示作用,在降雨发生前6~12 h,PWV开始增加;在降雨发生前1~2 h内PWV迅速上升;当PWV显著增加并保持高值时,预示强降雨的发生。PWV变化越快,降雨概率和降水量就越大。滑动平均处理结果进一步证明,强降雨发生前后,PWV会出现快速聚集和释放的现象,PWV可作为短期临近预报及天气分析等研究和应用的序列资料,为传统气象手段提供有力补充。We discuss the distribution characteristics of precipitable water vapor(PWV)and the relationship between PWV and actual precipitation during two typical precipitation processes in 2018 to analyze the application of PWV in rainfall prediction.The results show that during the precipitation process,PWV distribution is consistent with actual precipitation.PWV presents indications about rainfall prediction;PWV starts to increase within 6 to 12 hours before rainfall occurs,and rises rapidly within 1 to 2 hours before precipitation occurs.When PWV increases significantly and maintains a high value,it indicates that heavy precipitation will occur.Moreover,the faster PWV changes,the greater precipitation probability and amount of precipitation.Through the sliding average treatment,the phenomenon of rapid accumulation and release of PWV before and after heavy rainfall occurrence is further proven.PWV can be used as sequence data for research and application of short-term nowcasting and weather analysis.It also provides a powerful supplement for traditional meteorological methods.
分 类 号:P228[天文地球—大地测量学与测量工程]
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