The datasets presented here are part of the Multi-Sector Dynamics (MSD) project sponsored by Department of Energy (DOE) and conducted by the MIT Joint Program on the Science and Policy of Global Change. This self-consistent, large ensemble (900-member), high-resolution global dataset of long‐term future climate is developed by applying an integrated spatial disaggregation (SD) bias-correction (BC) method to the ensemble of climate projections from the MIT Integrated Global System Modeling (IGSM) framework. The dataset contains nine key meteorological variables on a monthly scale from 2021 to 2100 at a spatial resolution of 0.5°x 0.5° for four emission scenarios, including precipitation, air temperature (mean, minimum and maximum), near-surface wind speed, shortwave and longwave radiation, specific humidity, and relative humidity. The dataset can be used for assessing local-scale climate change impacts from a risk-based perspective across different applications.