Optical wireless data transmission from an Autonomous Underwater Vehicle (AUV) to a Unmanned Aerial Vehicles (UAVs) has become a viable solution to support the increasing needs for many applications in the field of marine technology. The objective of this study is to evaluate the underwater-to-air OWC system's performance in ocean waters in the presence of particles, bubbles, and waves. To calculate the signal loss between a transmitter and a receiver of the underwater-to-air OWC system, simulations were performed using Monte Carlo technique. These simulations utilized inputs of in-situ water optical properties measured from the the Bay of Bengal and the Southern Ocean and bubble properties derived from the Hall-Novarini (HN) model. To accurately account for optical beam fluctuations caused by the random shape of waves with spatial and temporal distribution correlations, we integrated a three-dimensional theoretical ECKV model at the water-air interface into our simulations. The normalized received power were calculated for the different receiver configurations and oceanic conditions without and with bubbles. Our results showed that the received power decreased with increasing wind speeds in ocean waters with different bubble populations. The angular and spatial distributions of the received beam increased for smaller bubble populations under high wind speeds. When compared to the clean bubbles, the received power slightly decreased for the non-absorbing coated bubbles with different film thicknesses (0.01 ~ 1.0 μm) and increased for the absorbing coated bubbles with higher thicknesses (≥ 1 μm). The presence of waves at the water-air interface leads to a significant decrease in the received power compared to a calm sea surface. The received power exhibits variation with different wave patterns observed in each cross section, as modelled using the ECKV method, while it remains constant according to the calm surface and Cox and Munk model. Finally, the influence of both wind-induced bubbles and water-air interface at different wind speed on the underwater-to-air OWC system is analyzed and results show that the received power decreases with bubble populations. These results significantly help the system designer to develop and optimize an underwater-to-air OWC system under different bubble populations and wavy water surface conditions.