Fig. 3: Comparison of real-time multivariate Madden–Julian Oscillation (MJO) (RMM) bivariate Correlation (COR) of the ensemble means between ECMWF subseasonal-to-seasonal (S2S) reforecasts (in blue) and FuXi-S2S forecasts (in red) using all testing data from 2017 to 2021. | Nature Communications

Fig. 3: Comparison of real-time multivariate Madden–Julian Oscillation (MJO) (RMM) bivariate Correlation (COR) of the ensemble means between ECMWF subseasonal-to-seasonal (S2S) reforecasts (in blue) and FuXi-S2S forecasts (in red) using all testing data from 2017 to 2021.

From: A machine learning model that outperforms conventional global subseasonal forecast models

Fig. 3

a Comparison of RMM bivariate COR as a function of forecast lead times. Dashed black line signifies the prediction skill threshold of COR = 0.5. b The RMM bivariate COR is depicted as a function of the month of initialization (x-axis) and forecast lead time (y-axis), with red and blue lines indicating the skillful MJO prediction days of ECMWF S2S (in blue) and FuXi-S2S (in red), respectively.

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