However, flux replacement still cannot overcome the climate drift in a coupled land-atmosphere model. Therefore, we also pursue development of an empirical correction of land and atmospheric errors in a global prediction system to improve the numerical simulation and seasonal-to-interannual prediction of the land-atmosphere branch of the global water cycle, with the ultimate aim of application of empirical correction to further improve climate prediction capability. This procedure adds forcing terms to the prognostic equations of both the atmosphere and land models to render the tendencies more consistent with observations. The correction method can eliminate not only state-independent (“systematic”) errors, but also certain flow-dependent forecast errors. The new method is significantly reduced the climate drift and improves the seasonal prediction skill.