In view of the urgent need for high coverage and high-resolution atmospheric CO₂ data in the study of carbon neutralization and global CO₂ change research, this study combines the Kriging interpolation and the Triple Collision (TC) algorithm to fuse three XCO₂ datasets, OCO-2, GOSAT, and CarbonTracker, to obtain a 1° × 1° half-monthly average XCO₂ dataset. Through a sub division of the Kriging interpolation, the average coverages of the OCO-2 and GOSAT XCO₂ interpolating datasets are increased by 53.65% and 48.5%, respectively. In order to evaluate the accuracy of the TC fusion dataset, this study used a reliable reference dataset, TCCON data, as the verification data. Through comparative analysis, the MAE of the fusion dataset is 0.6273 ppm, RMSE is 0.7683 ppm, and R² is 0.8279. It can be seen that the combination of Kriging interpolation and TC algorithm can effectively improve the coverage and accuracy of the XCO₂ dataset.