Abstract：Data gaps between the GRACE and GRACE-FO missions have prevented continuous monitoring of the terrestrial water storage changes (TWSC). We use the multiple linear regression model, take the GRACE/GRACE-FO solutions as reference values, the precipitation, air temperature, and model-simulated terrestrial water storage data as prediction parameters, and consider three different strategies to reconstruct the continuous TWSC of nine major river basins in China from April 2002 to December 2021. The results show that the reconstructed results based on the de-trended and de-seasonalized signal reconstruction strategy are slightly better than those dependent on the de-trended signal reconstruction strategy. These two reconstructed results are better than those using the overall signal reconstruction strategy, and this advantage is more evident in the basins with intense human activities or glaciers melt (such as Haihe and Luanhe rivers, Yangtze river, southeast rivers, and inland river basins). In addition, the performance of reconstructed result is also affected by the signal-to-noise ratio of GRACE/GRACE-FO data and the correlation of prediction parameters with GRACE/GRACE-FO data.
YANG Xinchun,YOU Wei,WAN Xiangyu et al. Reconstruction of Terrestrial Water Storage Changes of Nine Major River Basins in China Using a Multiple Linear Regression Model[J]. jgg, 2023, 43(2): 116-120.
