Improving air temperature forecasts one to five weeks in advance without new model simulations

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.