摘要
利用WRF3.8模式,对工厂信息实时数据库采集存储的武汉局地24h气温数据,从初值、侧边界和物理过程优选方案进行气温预测研究,并利用实测资料进行检验,验证WRF模式在局地短期气温预测的能力。针对数值预报的"不确定性"问题,开展实时数据采集存储、WRF优选方案分析和基于WRF模式的局地短期气温预测方法。应用结果表明,模式对局地短期气温预测效果较好,为基于多变量分析的指标预测研究提供必要的参考。
Temperature forecast research in Wuhan, where data are collected and extracted from plant information real-time database （PI）, is per- formed using the WRF （version 3.8） model, meanwhile based on the initial value, the lateral boundary and physical process optimization scheme. Further, the verification is checked to test its ability in local region short-term temperature prediction. As for the uncertainty question in numerical forecasting, a method including real-time data acquisition and storage, proposes WRF optimization scheme analysis and local region short-term temperature prediction based on WRF model. The results show that the model has better effect on local region short-term temperature prediction and provides the necessary reference for multivariate-based index prediction.
出处
《现代计算机》
2017年第20期6-11,共6页
Modern Computer
基金
湖北省省级大学生创新创业训练计划项目(No.201410488039)
关键词
PI实时数据库
气温数据采集
WRF模式
数值模拟
Plant Information Real-Time Database
Outdoor-Temperature Data Acquisition
WRF （Weather Research Forecast） Model
Numeric Simu-lation
