Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 10
Articles | Volume 30, issue 10
https://doi.org/10.5194/hess-30-3221-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-3221-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 10
Research article
 | 
26 May 2026
Research article |  | 26 May 2026

Reconstruction of climate-driven global terrestrial water storage variations (2002–2021) using a four-parameter linear recursive model

Pu Xie and Shuang Yi

Viewed

Total article views: 3,164 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,584 1,353 227 3,164 280 270 292
  • HTML: 1,584
  • PDF: 1,353
  • XML: 227
  • Total: 3,164
  • Supplement: 280
  • BibTeX: 270
  • EndNote: 292
Views and downloads (calculated since 11 Dec 2025)
Cumulative views and downloads (calculated since 11 Dec 2025)

Viewed (geographical distribution)

Total article views: 3,164 (including HTML, PDF, and XML) Thereof 3,135 with geography defined and 29 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Jun 2026
Download
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. 
Read more
Share