Due to the high temporal resolution and wide area coverage, Geostationary Doppler weather radar (GDWR) is becoming a hot issue all over the world. The observation of GDWR is more vulnerable to the surface clutter for its scanning mode. Therefore, it is significant to simulate the GDWR measurement and investigate the surface clutter suppression of the GDWR data. Firstly, a brief introduction of the GDWR was described. Secondly, based on the Satellite-Earth geometry model, observational data of GDWR were simulated using the APR-2 data, and the rainfall intensity and velocity field data were analyzed. Finally, by combining the characteristics of power spectrum data and time domain signals, the surface clutter was restrained using the Gaussian model adaptive processing method (GMAP) and fifth-order elliptic infinite impulse response ground clutter filter (IIR). The comparisons were carried out between the filtered data and the original data, which indicates that the weather radar echo influenced by the ocean surface clutter can be correctly recovered using IIR and GMAP methods.