Earth System Models (ESM) output still has a low resolution. The scale-down Climate imprint (CI) method and the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) bias correction method were applied to improve ESM resolution. BNU-ESM, MIROC-ESM, and MIROC-ESM-CHEM were selected to represent the ESM and ERA-Interim data as proxies for the observation data. The variables used in this study were the maximum temperature and rainfall. This study aims to evaluate the ability of the ISI-MIP bias correction method in three climate regions (rainfall patterns) in Indonesia (Monsoon, Local, Equator). Evaluation of ISI-MIP ability using Taylor Diagram and correlation map. The results obtained by ISI-MIP work well at the maximum temperature variable compared to rainfall with a correlation coefficient of 0.8 and 0.5, respectively. In addition, the Monsoon region has better results compared to the local and equatorial regions. Of the three ESM models, the MIROC model is the model that has the best performance.