Extended Data Fig. 3: Reduction of the loss values in time and DeepDA-produced subsurface temperature anomalies in the OSSEs after 3-months spin-up. | Nature Machine Intelligence

Extended Data Fig. 3: Reduction of the loss values in time and DeepDA-produced subsurface temperature anomalies in the OSSEs after 3-months spin-up.

From: Partial-convolution-implemented generative adversarial network for global oceanic data assimilation

Extended Data Fig. 3

(a) Time-series of the globally- and vertically- (from 0 to 700 m) averaged root-mean-squared-errors (RMSEs) of the temperature anomalies in the analysis fields from the ground truth during January to December 1974 in the OSSEs. Black dots denote each assimilation cycle. The temperature anomalies of the (b) ground truth, (c) observations, (d) analysis states, and (e) background states at the surface layer at 15th data assimilation cycle in the Observing System Simulation Experiments (OSSEs). (f)-(i) same as (b)-(e), but for 105 m. (j)-(m) same as (b)-(e), but for 198 m. (n)-(q) same as (b)-(e), but for 707 m.

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