基于规则引擎的多元大气信息数据质量检查方法

Research on quality check method of polytropic atmospheric data based on rule engine

为了提高气象观测资料的质量,为天气预报以及各类气象业务系统提供可靠的数据来源,提出了一种基于规则引擎的气象观测资料质量检查方法.该方法能对各类常规气象报文进行实时、准确地解码与译码,检查、订正不符合世界气象组织和中国气象局编码规范的报文,并具备灵活的人机交互能力,以适应各类气象观测资料不断发展、变化的要求.该方法的应用,可取代传统的以气候极值检验为主要手段的质量检查方法,提高了实时资料处理的效率,并显著提升了相关气象产品结果的准确性.经实践证明,该方法的应用是行之有效的.

In order to improve the quality of meteorological data and provide reliable data sources for weather forecasts and other meteorological applications,the paper presents a quality check method of meteorological observational data based on rule engine.The method is able to decode and translate accurately the routine meteorological message in real time.It can check and revise the message which does not meet the norms published by the WMO and the CMA.It also has flexible ability in man-machine interaction,by which to satisfy the developing and changing requirements about meteorological observational data.This method may replace the traditional quality control method,which use the meteorological extreme value examination.It can enhance the processing efficiency of real-time data,and can also promote the accuracy of result produced by meteorology applications.The practical applications prove that this method is effective and efficient.