We tested a new way to improve Arctic sea ice forecasts by adding satellite-based surface brightness, or albedo, into a sea ice model. This approach captures key surface changes like melting and snowfall that affect ice loss. We found it often gives better results when combined with standard data like ice coverage or thickness, especially during the melt season. This method offers a powerful tool for tracking Arctic sea ice in a changing climate.