首页 | 本学科首页   官方微博 | 高级检索  
     检索      

新疆"百里风区"强风天气预报方法
引用本文:吴学珂,刘炳杰,王式功,尚可政,杨德保,田军.新疆"百里风区"强风天气预报方法[J].兰州大学学报(自然科学版),2009,45(6).
作者姓名:吴学珂  刘炳杰  王式功  尚可政  杨德保  田军
作者单位:兰州大学,大气科学学院,半干旱气候变化教育部重点实验室,兰州,730000
基金项目:国家科技支撑计划项目,兰州大学国家大学生创新性实验计划项目,科技基础性工作专项项目 
摘    要:在对新疆"百里风区"大风形成原因分析的基础上,使用2003-2006年的实况资料和在T213数值预报产品中,选取适当的预报因子,运用双重检验的逐步回归方案,建立了以12h为一个预报时段的48h大风预报方程.检验表明:以12h为一个预报时段的48h预报,2003-2006年的回代检验准确率和2007,2008年试报准确率均在75%以上,24h内的预报准确率超过了80%.24~48h的预报准确率也高于新疆气象台天气图方法预报结果.

关 键 词:强风  逐步回归  预报方程  百里风区  新疆

Strong wind forecast for the "100 km wind zone" in Xinjiang
WU Xue-ke,LIU Bing-jie,WANG Shi-gong,SHANG Ke-zheng,YANG De-bao,TIAN Jun.Strong wind forecast for the "100 km wind zone" in Xinjiang[J].Journal of Lanzhou University(Natural Science),2009,45(6).
Authors:WU Xue-ke  LIU Bing-jie  WANG Shi-gong  SHANG Ke-zheng  YANG De-bao  TIAN Jun
Abstract:Based on the analysis of the formation of strong winds at the "100 km wind zone" in Xinjiang, a wind forecasting system in 48 hour was established by using the predictor chosen between the data of routine meteorological element and T213 numerical prediction products from 2003 to 2006, and by using the stepwise regression method. The results are: for each forecast period in 48 h, the accuracy rate of back substitution testing with the data from 2003 to 2006 and the tring forecasting rate with the data of 2007 and 2008 are both higher than 75 percent, and especially, higher than 80 percent in 24 h. The forecast accuracy of 24~48 h is also higher than the results achieved by the method of weather map forecasting.
Keywords:strong wind  stepwise regression  prediction equation  100 km wind zone  Xinjiang
本文献已被 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号