Fig. 10: Comparison of the average latitude-weighted RMSE (first and second rows) and ACC (third and fourth rows) of the 139 sets of 7-day’s medium forecast using ERA5 and outputs of 4DVarFormer (red lines for using 6-day DAW, blue lines for 12-h DAW, green lines for 18-h DAW, and red lines for 24-h DAW). | npj Climate and Atmospheric Science

Fig. 10: Comparison of the average latitude-weighted RMSE (first and second rows) and ACC (third and fourth rows) of the 139 sets of 7-day’s medium forecast using ERA5 and outputs of 4DVarFormer (red lines for using 6-day DAW, blue lines for 12-h DAW, green lines for 18-h DAW, and red lines for 24-h DAW).

From: Accurate initial field estimation for weather forecasting with a variational constrained neural network

Fig. 10

Four surface variables, such as MSLP, T2M, U10, and V10, and six upper-air variables are illustrated, including Z500, T850, T500, R500, U500, V500, using testing data from 2021 to 2022. All models are evaluated against the ERA5 reanalysis dataset.

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