A combination of time-variable gravity field solutions from multi-satellite datasets (1993–2024) via constrained collocation model

Zhang, Lin; Shen, Yunzhong; Sneeuw, Nico; Saemian, Peyman; Ji, Kunpu; Chen, Qiujie; Wang, Fengwei

doi:10.5194/essd-18-5167-2026

Articles | Volume 18, issue 7

https://doi.org/10.5194/essd-18-5167-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-5167-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 7

Data description article

|

21 Jul 2026

Data description article |

| 21 Jul 2026

A combination of time-variable gravity field solutions from multi-satellite datasets (1993–2024) via constrained collocation model

Lin Zhang, Yunzhong Shen, Nico Sneeuw, Peyman Saemian, Kunpu Ji, Qiujie Chen, and Fengwei Wang

Supplement

https://doi.org/10.5194/essd-18-5167-2026-supplement

Data sets

A-combination-of-Time-Variable-Gravity-Field-Solutions-from-Multi-Satellite-Datasets Lin Zhang et al. https://doi.org/10.5281/zenodo.18589507

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Short summary

This study develops monthly gapless, filter-free gravity field solutions from January 1993 to December 2024, which merge multiple satellite observations without hydrometeorological models, achieving better accuracy than current methods. Assessment of global sea level budget closures and regional water balance shows major gains. Ice sheet mass changes in Antarctic and Greenland show higher consistency with reference estimates, enabling reliable tracking of global water and ice systems.