Single-layer stratiform clouds are commonly observed at high latitudes (Shupe and others, 2006; de Boer and others, 2009). Recently several papers have linked record minimum sea-ice coverage in part to anomalous patterns in low cloud coverage (e.g. Kay and others, 2008). Low-level mixed-phase clouds may impact sea-ice growth/melting rates via their influence on the atmospheric radiation budget as well as through frozen precipitation they produce. These influences are naturally variable by season, dependent largely upon sun angle and atmospheric temperature. In this study, we utilize multiple years of cloud observations from surface-based remote sensors at Barrow, Alaska (United States Department of Energy Atmospheric Radiation Measurement (US DOE ARM) North Slope of Alaska site), and Eureka, Canada (National Oceanographic and Atmospheric Administration and Canadian Network for the Detection of Arctic Change Study for Environmental ARctic CHange (NOAA/CANDAC SEARCH) program), to derive seasonal profiles of cloud properties such as liquid water content, ice water content, precipitation rate, temperature and cloud depth. This information is subsequently utilized in an atmospheric radiative transfer model (RRTM; Clough and others, 2005) to derive surface shortwave and longwave radiative fluxes. Finally, these fluxes, along with relevant temperature and precipitation information, are used to drive the Los Alamos Sea Ice Model (CICE; Hunke and Lipscomb, 2008) to determine the influence of these clouds on sea-ice growth rates. In this work, we present seasonal and location-dependant differences in cloud properties, along with a quantitative analysis of the influence that these different cloud regimes have on sea-ice growth and decay rates. In addition, we will discuss possible feedback mechanisms between these clouds and sea ice.