Fig. 6: Bias-correction for operational forecasts without retraining. | Nature Communications

Fig. 6: Bias-correction for operational forecasts without retraining.

From: Fusion of multi-source precipitation records via coordinate-based generative models

Fig. 6: Bias-correction for operational forecasts without retraining.

a, e HRES forecasts at 18-h and 36-h lead times (other lead times see SI Fig. 15), initialized at 00:00 UTC on 14 September 2016, coinciding with the landfall of Typhoon Meranti. b, f Ensemble means. c, g Four representative ensemble members, illustrating internal variability and structural diversity. d, h Spatial distribution of ΔCRPS, with blue indicating improvement and red indicating deterioration. i, j Precipitation time series at two representative gauged grids (more stations see SI Fig. 16); gray envelope denotes the spread across 100 ensemble members. Maps were generated using Cartopy.

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