A Self‐Calibration Variance‐Component Model for Spatial Downscaling of GRACE Observations Using Land Surface Model Outputs

Abstract High‐resolution data of total water storage play a key role in assessing trends and availability of water resources. This study presents an iterative adjustment method based on the Self‐calibration Variance‐Component Model (SCVCM) for spatially downscaling GRACE‐derived Total Water Storage Anomaly (GRACE TWSA) from its original coarse resolution (∼300 km) to a high resolution (5 km) through integrating Land Surface Model (LSM) …