Fig. 2: Comparison of the globally averaged latitude-weighted ACC (first row) and RMSE (third row) as well as normalized ACC (second row) and RMSE difference (fourth row) of ECMWF EM (light purple lines), FuXi (light blue lines), and FuXi EM (light red lines) for 2 upper-air variables, including Z500 (first column) and T850 (second column), and 2 surface variables, such as MSL (third column) and T2M (fourth column), in 15-day forecasts using testing data from 2018. | npj Climate and Atmospheric Science

Fig. 2: Comparison of the globally averaged latitude-weighted ACC (first row) and RMSE (third row) as well as normalized ACC (second row) and RMSE difference (fourth row) of ECMWF EM (light purple lines), FuXi (light blue lines), and FuXi EM (light red lines) for 2 upper-air variables, including Z500 (first column) and T850 (second column), and 2 surface variables, such as MSL (third column) and T2M (fourth column), in 15-day forecasts using testing data from 2018.

From: FuXi: a cascade machine learning forecasting system for 15-day global weather forecast

Fig. 2

FuXi and FuXi EM is evaluated against the ERA5 reanalysis dataset, and ECMWF ensemble is evaluated against ENS-fc0.

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