Preprints
https://doi.org/10.5194/egusphere-2025-5991
https://doi.org/10.5194/egusphere-2025-5991
11 Dec 2025
 | 11 Dec 2025
Status: this preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).

Reconstruction of Climate-Driven Global Terrestrial Water Storage Variations (2002–2021)

Pu Xie and Shuang Yi

Abstract. Terrestrial water storage anomalies (TWSA), jointly influenced by climatic variability and human activities, serve as a key indicator of global climate change. TWSA exhibits pronounced fluctuations across multiple temporal scales, a substantial portion of which can be attributed to climatic variability, such as the El Niño–Southern Oscillation (ENSO). Empirical reconstruction of climate-driven water storage based on relationships between GRACE satellite gravity observations and meteorological forcing data has become a common approach; however, existing models often neglect the regulating role of temperature in the transformation of precipitation into water storage. In this study, we propose a linear, four-parameter coupled recursive model that explicitly incorporates temperature effects on both the conversion and dissipation efficiency of water storage. Using GRACE/GRACE-FO satellite observations and meteorological forcing data, we reconstructed climate-driven TWSA over the global land grid (excluding Antarctica) at a daily temporal resolution and 0.5°  spatial resolution for the period 2002 to 2021. For 116 major global river basins, we further derived basin-scale TWSA reconstructions and quantitatively evaluated the fraction of precipitation converted into TWSA. Finally, the reconstructed data were compared with existing reconstruction datasets. Compared with existing reconstruction products, the results indicate that: (1) the proposed method achieves substantially faster parameter convergence, improving computational efficiency by several tens of times during the TWSA reconstruction process; (2) the proposed model demonstrates superior performance in approximately 89 % of river basins and 62 % of global land grid cells. Specifically, the Nash–Sutcliffe efficiency (NSE) exceeds 0.7 in 84 out of 116 basins, and 62 % of global land grids exhibit NSE values greater than 0. This study enhances the understanding of the mechanisms governing terrestrial water storage variations at both global and regional scales, provides a quantitative assessment of climate-driven water storage changes, and offers a solid foundation for disentangling the respective impacts of climatic variability and human activities on water resources.

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Pu Xie and Shuang Yi

Status: open (until 22 Jan 2026)

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Pu Xie and Shuang Yi
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Short summary
We present a global 0.5° × 0.5° daily reconstruction of terrestrial water storage anomalies from 2002–2021, using a novel four-parameter linear recursive model driven only by precipitation and temperature. The model exhibits strong physical interpretability, efficiently quantifies the precipitation-to-storage conversion fraction, and achieves faster parameter convergence. It outperforms existing models in 89 % of basins, with Nash–Sutcliffe efficiency values exceeding 0.7 in 84 basins. 
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