Global Distribution of Dust in Snow by A Machine Learning Approach:Dual Random Forest (DRF)

This dataset represents the global distribution of dust in snow, simulated using Dual Random Forest (DRF) model. The temporal resolution is monthly averages, covering the period from January 1981 to January 2024. The spatial resolution is 0.5° × 0.625°, with a longitude range of -180° to 180° and a latitude range of -90° to 90°. The dataset comprises 400 sets of simulation results, generated by combining 4 reanalysis-driven schemes with 100 Monte Carlo simulations.