Presented at the 2013 Aquarius/SAC-D Science Team MeetingRain has an instantaneous impact on sea surface salinity (SSS), but also interferes with microwave remote sensing signals, making the task to retrieve SSS under rainy conditions difficult. A rain correction scheme is developed based on analysis of the L-band radiometer/scatterometer residual signals after accounting for roughness due to wind and flat surface emissivity. The combined active passive (CAP) algorithm is used to retrieve SSS in parallel, with (SSSCAP_RC) or without (SSSCAP) rain correction. The global monthly RMSE with respect to SSSARGO is reduced by about 0.1 PSU. Regional biases between SSSARGO, SSSCAP and SSSCAP_RC are examined in areas with frequent rain events. Results show ΔSSS (i.e. SSSCAP_RC-SSSCAP) is highly correlated with the seasonal precipitation pattern and reduces surface freshening by about 0.2-0.3 PSU under heavy rain. However, ΔSSS shows no correlation with the difference pattern between SSSARGO and either SSSCAP_RC or SSSCAP. The associated upper layer stratification depicted by ARGO profiles suggests this may reflect the true difference between skin and near surface salinity in high-stratified regions, for example, around the edge of freshwater pools. The effect of ΔSSS on water cycle in terms of mixed-layer salt storage tendency is estimated causing 20% difference in areas with strong freshwater flux.