Researchers at the Institute of Industrial Science, The University of Tokyo and George Mason University's College of Science have developed a new method that improves air temperature forecasts one to five weeks in advance—without requiring additional model simulations. The methodology, detailed in the Proceedings of the National Academy of Sciences, provides a dual benefit, not requiring significant increase in computational cost while improving predictions.