Abstract: In the compensation of the aeromagnetic gradient tensor data based on superconducting, the simulation results of the compensation model often differ from the compensation results of the survey data. To establish a model that is valid for measured data, this study analyzed the sources of errors, proposed a comprehensive compensation model by combining magnetic interference, installation errors, and the degree of unbalance, and determined the method to solve the model. Moreover, this study compensated the measured data using the comprehensive compensation model proposed and verified the compensation effects. The experimental results show that the comprehensive compensation model is applicable to the compensation of measured data since it can not only effectively reduce the influence of external interference but also can improve the quality of magnetic gradient tensor data and achieve significant compensation effects.