Extended Data Fig. 5: Case study of a mega dust storm event in northern China during April 16–20, 2023. | Nature

Extended Data Fig. 5: Case study of a mega dust storm event in northern China during April 16–20, 2023.

From: Advancing operational global aerosol forecasting with machine learning

Extended Data Fig. 5: Case study of a mega dust storm event in northern China during April 16–20, 2023.The alt text for this image may have been generated using AI.

a,b, Forecasts of DUAOD (a) and DUSMC (b) during the event, produced by operational AI-GAMFS, CAMS, CMA-CUACE/Dust, KMA-ADAM3, and FMI-SILAM models, with a 5-day lead time at 24-h intervals, compared against MERRA-2 reference data. Operational AI-GAMFS was initialized at 22:30 UTC on April 15, 2023, while the other models were initialized at 00:00 UTC on April 16, 2023. For comparison, the outputs of all models were interpolated to the same spatiotemporal resolution as AI-GAMFS. The overall accuracy metrics (i.e., spatial R and RMSE) for operational AI-GAMFS and the four dust models relative to MERRA-2 data are shown in the lower-left corner of each panel. Note that DUSMC is not included as a direct forecast variable for the CAMS model.

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