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Bridging Terrestrial Water Storage Anomaly During GRACE/GRACE-FO Gap Using SSA Method: A Case Study in China
Wanqiu Li1, Wei Wang2, Chuanyin Zhang1
1Chinese Academy of Surveying & Mapping, Beijing 100830, China.
Singular Spectrum Analysis (SSA) effectively predicts terrestrial water storage anomalies (TWSA), bridging the gap between GRACE and GRACE-FO missions. This method improves prediction accuracy compared to ARMA models, offering a valuable reference for future research.
Area of Science:
- Earth Science
- Hydrology
- Geophysics
Background:
- The gap between GRACE and GRACE-FO missions poses challenges for studying terrestrial water storage anomalies (TWSA).
- Accurate TWSA data is crucial for understanding hydrological changes and water resource management.
Purpose of the Study:
- To propose and evaluate Singular Spectrum Analysis (SSA) for predicting TWSA to bridge the GRACE-GRACE-FO data gap.
- To compare the accuracy of SSA predictions with traditional methods like ARMA.
Main Methods:
- Applied SSA to GRACE RL06 data from January 2003 to August 2016 across six regions in China.
- Compared SSA prediction accuracy (R, NSE, RMSE) with ARMA models.
- Verified SSA predictions using Mascon RL06, GLDAS, and GRACE-FO data.
Main Results:
- GRACE-derived TWSA showed high consistency with Mascon data, particularly Mascon RL06.
- SSA significantly improved prediction accuracy (higher R, NSE; lower RMSE) compared to ARMA.
- SSA predictions for 2016-2019 aligned well with GLDAS and GRACE-FO data.
Conclusions:
- SSA is a reliable method for predicting TWSA and bridging the GRACE-GRACE-FO data gap.
- The study provides a valuable reference for hydrological research and water resource management.
- SSA demonstrates superior performance in capturing periodic and trending characteristics of TWSA.
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