Subseasonal Forecasting and MJO Teleconnections in Machine Learning Weather Prediction Models

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Citation for Subseasonal Forecasting and MJO Teleconnections in Machine Learning Weather Prediction Models

Peings, Y., Dong, C., Mahesh, A., Pritchard, M., Collins, W., & Magnusdottir, G. (2026). Subseasonal Forecasting and MJO Teleconnections in Machine Learning Weather Prediction Models. Journal of Geophysical Research: Atmospheres, 131(3). Portico. https://doi.org/10.1029/2025jd044910

The Calibrated and Systematic Characterization, Attribution, and Detection of Extremes (CASCADE) project advances the Nation’s ability to identify and project climate extremes and how they are impacted by environmental drivers.