The invention discloses a GPS time sequence generalized common mode error extraction method. According to the invention, space responses of common mode errors are analyzed, an extraction mechanism of large-area GPS network common mode errors is established, physical factors such as a correlation coefficient [rho], the distance, latitude and longitude, a local effect, a load effect, a main component contribution rate and space responses are used as evaluation factors, , a feasible estimation method is provided to the common mode errors between stations of the large-area large-scale GPS network by means of clustering analysis, and a better filtering effect is obtained; in addition, the limitation of a conventional GPS time sequence model is considered, the model errors introduced in time sequence annual and semiannual term fitting processes are weakened, the periodicity of the common mode errors is considered, and that is to say, before common mode error removing is carried out on a residual sequence, the annual and semiannual terms of an original coordinate sequence are reserved, so that the space changes and the periodical change of the common mode errors are practically reflected, and a basis is further provided for improving the precision of a GPS coordinate sequence model.