This dataset provides a CFRAM-based decomposition of energy budget components associated with wintertime warm events over the Arctic and the Korean Peninsula, simulated using the KPOPS atmospheric model. The data quantify the contributions of water vapor, cloud processes, surface albedo, shortwave and longwave radiation, turbulent heat fluxes, and dynamical and physical atmospheric processes to surface temperature anomalie during the period of 2000.11-2022.2. Three winter experiments are included to isolate the roles of sea surface temperature forcing and Arctic thermodynamic processes: 1. Winter: The baseline KPOPS experiment forced with forecast sea surface temperatures from the Climate Forecast System (CFS) as boundary conditions. 2. Winter_oisst: An experiment in which sea surface temperatures are prescribed from the NOAA Optimum Interpolation Sea Surface Temperature (OISST) reanalysis dataset. 3. Winter_fd: A freeze-dry experiment in which thermodynamic processes over the Arctic are suppressed to isolate the role of Arctic moisture and thermodynamic feedbacks. This dataset enables inter-regional and inter-experimental comparisons of winter warming mechanisms between high-latitude and mid-latitude regions and supports process-oriented evaluation of model-simulated warm events.