Inversion of Regional Groundwater Storage Changes Based on the Fusion of GNSS and GRACE Data: A Case Study of Shaanxi–Gansu–Ningxia

This paper aims to address the limitations of distribution number and uniformity Continuously Operating Reference Stations (CORS) their impact on reliability inverting regional groundwater storage (GWS) based Green’s function method using global navigation satellite system (GNSS) data. A fusion inversion GWS changes from GNSS Gravity Recovery Climate Experiment (GRACE) was proposed in this paper. Taking Shaanxi–Gansu–Ningxia (SGN) region as an example, situ level data ten CORS stations eight wells were used for test analyses. In paper, atmospheric pressure model European Centre Medium-Range Weather Forecasts (ECMWF), a land assimilation (GLDAS), WaterGAP hydrology (WGHM), mean sea anomaly (MSLA) quantitatively monitor influence vertical deformation caused by non-tidal environmental load. After deducing these loading deformations filtered time series non-linear monthly geodetic height GNSS, SGN 2011 2014 inverted. Meanwhile, change surface water GLDAS WGHM models removed terrestrial (TWS) derived GRACE. On basis, remove–restore theory Earth’s gravity field introduced both fuse results obtain method. The showed following: (1) local characteristics more prominent than those GRACE spatial scale, such southwest northeast study area. addition, uniform especially sparse missing areas which located, effect weakened. (2) compared with GRACE, trends obtained roughly same changes. (3) For “6105010031” “6101260010”, correlation coefficients result 0.53 0.56, respectively. accuracy slightly higher that indicates may be effective where are or sparsely distributed. methods can provide significant reference material hydrodynamic research, sustainable management resources, dynamic maintenance