资源环境科技发展态势分析平台

Coupled Earth system models of the type used for weather and climate predictions suffer from sea‐surface temperature (SST) biases associated with errors in the location and structure of the Gulf Stream. Here, we show that such SST biases can have a significant impact on initialized forecasts at the sub‐seasonal time range. In the European Centre for Medium‐Range Weather Forecasts (ECMWF) sub‐seasonal forecast system, correcting these errors with an online SST bias‐correction scheme improves the mean state of the North Atlantic region and has a significant positive impact on forecasts of atmospheric circulation anomalies. Improvements to forecast skill extend beyond the North Atlantic into Europe and along the northern hemisphere subtropical waveguide. These impacts provide important evidence for the potential benefits to initialized coupled forecast systems of higher‐resolution ocean models that can better resolve the position of the Gulf Stream.