摘要
针对天气学方法预报飞机积冰实际效果准确率低并受具体时空范围的束缚等问题,结合卫星资料在民航的广泛使用,设计了利用卫星提供的云微物理参数识别潜在飞机积冰区的算法,从而得到较大区域范围的潜在积冰概率和积冰强度。并用实际飞机积冰案例进行验证分析,发现利用卫星资料识别潜在飞机积冰区的积冰概率和积冰强度与飞机实测结果一致,表明利用卫星资料提供的云微物理参数的积冰算法能够有效识别潜在飞机积冰区。
Aiming at the existing aircraft icing detection and forecast mainly depend on synoptic method and the results,the accuracy is low and bounded by specific scope of space and time.Combined with the using of satellite data,this paper puts forward a recognition algorithm of potential aircraft icing area using cloud micro physical parameters provided by satellite data in order to get icing probability and icing intensity of the large area.By analyzing the actual aircraft icing case,the icing probability and intensity of icing area recognized by satellite data are consistent with the plane observation.The results show that icing algorithm of cloud microphysical parameters provided by satellite can effectively identify potential aircraft icing area.
出处
《滨州学院学报》
2014年第6期36-39,49,共5页
Journal of Binzhou University
基金
民航飞行技术与飞行安全科研基地资助项目(F2012KF06)
中国民用航空飞行学院研究生科技创新项目(X2013-28)
关键词
航空气象
云微物理参数
卫星数据
飞机积冰
积冰强度
积冰概率
aviation meteorology
cloud microphysical parameters
satellite data
aircraft icing
icing intensity
icing probability
