基于云微物理参数的飞机积冰多因子预测方法

基于气象探测信息,准确进行飞机积冰预测并及时开启防/除冰系统是保障飞机飞行安全的重要方法。提出了一种多因子积冰预测方法,当已知飞机所在飞行云层类型、飞行高度、速度、气温、气压和露点温度时,使用提出的方法可计算得到飞行高度上的相对湿度、比湿、0℃高度上的气压、液态含水量等气象参数,用所建立的多因子积冰强度判别式可对飞机积冰的可能性及积冰强度进行预测。将方法应用于飞机积冰案例中,与美国国家大气科学中心提出的RAOB积冰预报方法进行了对比。分析结果表明,提出的方法准确有效,可为飞机积冰预测提供技术支持。

An Aircraft Icing Forecasting Method Based on Bloud Microphysical Parameters

Introducing weather detect information to aircraft icing forecast and turning on Anti-icing/deicing system in time an important safeguard of ensuring airplane flight safety.This paper presents a multi-factor prediction method of ice forecasting.When the information of aircraft flying cloud type,altitude,speed,temperature,pressure and dew point temperature is known,the relative humidity,specific humidity,pressure of 0℃ high degree,liquid water content,and other weather parameters can be calculated as well as the icing probability and icing accretion rate during aircraft fly is predicted using the presented method.Using the proposed method into an aircraft icing cases,and compared with RAOB icing forecast methods of the NCAR.The analysis results show that the proposed method is accurate and valid.It can provide technical support for aircraft icing forecasting.