Abstract: The rationale to use the digital filter initialization (DFI) relies on the assumption that the fastest unbalanced inertial gravity waves propagate quasilinearly within the balanced background flow and consequently can simply be filtered as long as there is no overlap with the meteorologically significant part of the spectral frequencies. For the numerical forecast with higher horizontal resolution, the inertial gravity waves with shorter wave length and higher frequency can be resolved by the numerical model. Therefore, it's difficult to identify the fake highfrequency oscillations from the mesoscale weather signals. In this context, the performance of the DFI for highresolution forecasts has been at stake for both the research and operational implementation. In this paper, a preliminary investigation into the noise control and initialization for high resolution forecasts are conducted. It’s revealed that even for a ‘noisefree’ forecast, the weatherrelated information displays a large and unreasonable surface pressure tendency, the same as the fake high frequency oscillation. A challenging issue is the introduction by the 3DVAR of highfrequency fake oscillations. Although the DFI is an efficient noise controlling approach, it is found to be impossible to remove the fake oscillaiton introduced by the 3DVAR while ensuring the meteorologically significant signals be kept in the initial conditions. An ideal noise controlling effect can be reached by extending filtering windows with cost of more additional computation time and the possible damage to weatherrelated signals. Therefore, compromise should be made between the acceptable filtering effect and forecast quality when implementing DFI. Finally, some suggestions relating to the implementation of the DFI in limitedarea high resolution numerical forecasts are given.