Abstract:By employing the Bayesian three-cornered hat method, we integrate multiple GRACE/GRACE-FO reconstruction models and improve the precision of the reconstruction models using deep learning methods. This approach provides valuable guidance for accurately filling the data gaps in GRACE/GRACE-FO missions. The experimental results show that the combined model exhibits the lowest uncertainty in global terrestrial water storage changes and maintains better agreement with the reference model in most basins. When compared to the optimal individual model, the combined model demonstrates superior performance in semi-arid, semi-humid, and humid regions, with a significant 15% reduction in overall uncertainty and an approximate 5% enhancement in Nash-Sutcliffe efficiency for both global and basin-scale terrestrial water storage changes.
HUANG Feilong,GU Yanchao,HE Zujian et al. GRACE/GRACE-FO Combined Model and Its Uncertainty Based on Bayesian Three-Cornered Hat Method[J]. jgg, 2024, 44(4): 417-422.