Building the parameterized turbulence model of a specific turbulence wind field is of great significance for the study of flight dynamics and flight safety under atmospheric disturbance.A parameterized modeling method of atmospheric turbulence is proposed based on the flight data of civil aviation aircraft.Firstly,based on the original flight data,the three-axis components of turbulent wind along the flight trajectory are derived,and the non-turbulence components in the turbulent wind are separated by Gaussian process regression.The turbulent components conforming to stationarity and normality are extracted through statistical tests.After that,the frequency-domain turbulence model is built based on Maximum Likelihood Estimation (MLE),and the time-domain turbulence model is built based on an auto regression process.The test results based on real-world flight data show that the customized modeling of turbulence wind field can be realized by the established parameterized turbulence model,which can be further applied to flight safety analysis and flight parameter estimation.