Long-term soil moisture observations are limited. Hence, we evaluated soil moisture re-emergence in various land data assimilation products, e.g. North American Data Assimilation System version 2 (NLDAS2) and climate model simulations. We found pronounced spatial and seasonal dependence of soil moisture re-emergence, which was sometimes but not always robust across these datasets despite the fact that in all cases their corresponding land surface/hydrology models were forced with observed climate forcing. An analysis of the CESM-Large Ensemble showed similar re-emergence characteristics, but varying across the 42 ensemble members, suggesting a potential but undetermined role of internal variability. In a separate land surface modeling experiment, we found that soil moisture re-emergence in some regions intensified when we muted inter-annual precipitation variability compared to a corresponding control experiment. Finally, in a new small ensemble climate modeling experiment (the GLACE-Hydrology experiment) using CESM, we found an important but spatially variable role of land-atmosphere coupling upon re-emergence. Overall, we documented for the first time a soil moisture re-emergence process that can potentially contribute to ISI hydroclimate predictability.