基于实测数据的航空气象环境构建

Construction of Aviation Meteorological Environment Based on Measured Data

随着我国民航业的快速发展,为了更好地保障人们的出行,更安全有效地维护空中和地面的航空秩序,航空气象数据的获取显得尤为重要。因此通过对某区域的若干个气象站的数据进行收集和整理,运用MATLAB中的插值函数,使其从离散的数据转化为连续的数据,构建出航空气象环境。比较实测数据与构建出来航空气象环境的计算数据的误差,发现基于Biharmonic样条进行插值计算的算法较为适用,数据规模的缩小使构建的航空气象环境模型精度随之减少,并且受时间和地域的限制较小。可通过构建出的航空气象环境使用户获取某个地区准确的气象数据。

With the rapid development of China's civil aviation industry,in order to better protect people's travel and maintain air and ground aviation order more safely and effectively,the acquisition of aviation meteorological data is particularly important.Therefore,through the collection and collation of the data of several weather stations in a certain area,the interpolation function in MATLAB is used to transform the discrete data into continuous data,and the aviation meteorological environment is constructed.By comparing the errors between the measured data and the calculated data of aviation meteorological environment,it is found that the interpolation algorithm based on Biharmonic spline is more suitable,and the accuracy of the aviation meteorological environment model is reduced with the reduction of data size,and it is less limited by time and region.Users can obtain accurate meteorological data of a certain area through the constructed aviation meteorological environment.