Researchers developed a method to predict monthly rainfall in Northeast China from 1999 to 2008 by combining spatial and temporal data. By analyzing precipitation patterns at different locations over time, they were able to create more accurate estimates compared to traditional methods. Removing seasonal variations and using a spatial-temporal variogram model improved the accuracy of rainfall predictions, making this new approach practical and effective for understanding precipitation patterns in the region.