Abstract
The icing environment is an important threat to aircraft flight safety. In this work, the icing index is calculated using linear interpolation and based on temperature and relative humidity (RH) curves obtained from radiosonde observations in China. The results show that: (1) there are obvious differences in icing index distribution in parameter over various climatic regions of China. The differences are reflected in duration, main altitude, and ice intensity. The reason for the differences is related to the temperature and humidity environment. (2) Before and after the summer rainfall process, there are obvious changes in the ice accretion index in the 4–6 km altitude area of Northeast China, and the areas with serious ice accretion are coincident with areas with large rainfall estimates. (3) In the process of snowfall in winter, the ground snow has an impact on the ice accumulation index in the east of China. When it is snowing, ice accumulation in low altitudes is serious. The results of this study offer a theoretical basis for prediction and early warning of aircraft icing.
Highlights
With the development of the civil aviation industry, a large number of aviation accidents have been caused by icing [1,2,3]
The results of this study offer a theoretical basis for prediction and early warning of aircraft icing
Based on the climatic region of aircraft icing in China and the icing index, we investigated data from sounding sites in different icing zones in different seasons using linear interpolation and analyzed the impact of summer rainfall in the Northeast China and winter snowfall in East China on the icing index on 1–6 km altitude
Summary
With the development of the civil aviation industry, a large number of aviation accidents have been caused by icing [1,2,3]. Previous studies have shown that icing might change the shape of the wing surface and even affect its aerodynamic characteristics, leading to flight accidents [16,17,18]. Using the median volume diameter (MVD) to describe the distribution of liquid water content (LWC) at the cloud droplet scale can further describe the icing environment [19]. LWC can be obtained as a function of collection efficiency, MVD, integrated total droplet number concentration, true airspeed, and precipitation rate [20].
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