Abstract
Data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission can be used to monitor changes in terrestrial water storage (TWS). In this study, we exploit the TWS observations from a new temporal gravity field model, Tongji-Grace2018, which was developed using an optimized short-arc approach at Tongji University. We analyzed the changes in the TWS and groundwater storage (GWS) in each of the nine major river basins of the Chinese mainland from April 2002 to August 2016, using Tongji-Grace2018, the Global Land Data Assimilation System (GLDAS) hydrological model, in situ observations, and additional auxiliary data (such as precipitation and temperature). Our results indicate that the TWS of the Songliao, Yangtze, Pearl, and Southeastern River Basins are all increasing, with the most drastic TWS growth occurring in the Southeastern River Basin. The TWS of the Yellow, Haihe, Huaihe, and Southwestern River Basins are all decreasing, with the most drastic TWS loss occurring in the Haihe River Basin. The Continental River Basin TWS has remained largely unchanged over time. With the exception of the Songliao and Pearl River Basins, the GWS results produced by the Tongji-Grace2018 model are consistent with the in situ observations of these basins. The correlation coefficients for the Tongji-Grace2018 model results and the in situ observations for the Yellow, Huaihe, Yangtze, Southwestern, and Continental River Basins are higher than 0.710. Overall, the GWS results for the Songliao, Yellow, Haihe, Huaihe, Southwestern, and Continental River Basins all exhibit a downward trend, with the most severe groundwater loss occurring in the Haihe and Huaihe River Basins. However, the Yangtze and Southeastern River Basins both have upward-trending modeled and measured GWS values. This study demonstrates the effectiveness of the Tongji-Grace2018 model for the reliable estimation of TWS and GWS changes on the Chinese mainland, and may contribute to the management of available water resources.
Highlights
The Gravity Recovery and Climate Experiment (GRACE) satellite mission, which was jointly developed by the National Aeronautics and Space Administration (NASA) and the German Space Flight Center (GSFC), was successfully launched in March 2002 [1]
Research groups working at locations such as the Center for Space Research (CSR) of the University of Texas at Austin, Geo Forschungs Zentrum Potsdam (GFZ), NASA Jet Propulsion Laboratory (JPL), and Graz University of Technology (UT Graz) have all employed a dynamic approach to the gravity field inversion [2,3]
groundwater storage (GWS) results to the in situ GWS observational data collected from groundwater wells in terms of RMSE, correlation coefficient, and long-term trends (Figure 6)
Summary
The GRACE satellite mission, which was jointly developed by the National Aeronautics and Space Administration (NASA) and the German Space Flight Center (GSFC), was successfully launched in March 2002 [1]. GRACE observational data as constraints in model inversions of temporal gravity fields. Research groups working at locations such as the Center for Space Research (CSR) of the University of Texas at Austin, Geo Forschungs Zentrum Potsdam (GFZ), NASA Jet Propulsion Laboratory (JPL), and Graz University of Technology (UT Graz) have all employed a dynamic approach to the gravity field inversion [2,3]. For the HUST-Grace2016 model, the group at the Huazhong University of Science and Technology relied on a modified dynamic approach [7]. These temporal gravity field models are available on the ICGEM website [8]. Due to the availability of the GRACE satellites to monitor changes in surficial features at a spatial resolution of ~300 km and at an equivalent water height (EWH) of
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