Instead of using the traditional space-time Fourier analysis of filtered specific atmospheric fields, a normal-mode decomposition method is used to analyze the South American intraseasonal variability. Intraseasonal variability was separate into the 30-90-day Low-Frequency Intraseasonal (LFI) and 10-30-day High-Frequency Intraseasonal (HFI) variability, and analyzed the contribution of the rotational (ROT) and inertio-gravity (IGW) components to the observed convective and circulation features. The seasonal cycle of the LFI and HFI convective and dynamical structure is well-described by the first leading pattern (EOF1). The LFI EOF1 spatial structure during the rainy season is the dipole-like between the South Atlantic Convergence Zone (SACZ) and southeastern South America (SESA), influenced by the large-scale Madden-Julian Oscillation (MJO). During the dry season, alternating periods of enhanced and suppressed convection over South America are primarily controlled by extratropical wave disturbances. The HFI spatial pattern also resembles the SESA–SACZ structure, in response to the Rossby wave trains. Results based on normal-mode decomposition of reanalysis data and the LFI and HFI indices show that the tropospheric circulation and SESA–SACZ convective structure observed over South America are dominated by ROT modes (e.g., Rossby). A considerable portion of the LFI variability is also associated with the inertio-gravity (IGW) modes (e.g., Kelvin mode), prevailing mainly during the rainy season. The proposed decomposition methodology provides new insights into the dynamics of the South American intraseasonal variability, giving a powerful tool for diagnosing circulation model issues in order to improve the prediction of precipitation.