The effects of clouds on the radiative balance and surface energy budget in the Arctic are not known well, especially when both cloud liquid and ice water are present. Increased understanding of Arctic cloud microphysical processes would improve the accuracy of climate models for this region. Observations taken during the 2008 Arctic Summer Cloud Ocean Study (ASCOS) are used to identify the impact of summertime Arctic clouds on the surface energy budget. A radiative transfer model (RRTM) is used to calculate both longwave (LW) and shortwave (SW) cloud forcing of the observed cloud liquid and ice. The RRTM results are verified with the surface radiation observations from the ASCOS ice camp. A series of sensitivity studies are used to examine the effect of ice content, liquid content, liquid drop radii, and ice crystal radii on the surface energy budget.