Articles | Volume 18, issue 7
https://doi.org/10.5194/essd-18-4537-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-4537-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
03 Jul 2026
Data description article |
| 03 Jul 2026
| 03 Jul 2026
SYSU TWSA v1.0: global high-resolution terrestrial water storage anomalies via satellite gravimetry
Yuhao Xiong
School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai 519082, China
Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-Sen University), Ministry of Education, Zhuhai 519082, China
School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai 519082, China
Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-Sen University), Ministry of Education, Zhuhai 519082, China
Jun Huang
School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai 519082, China
Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-Sen University), Ministry of Education, Zhuhai 519082, China
Hongbing Bai
School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai 519082, China
Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-Sen University), Ministry of Education, Zhuhai 519082, China
Guangyu Jian
School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai 519082, China
Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-Sen University), Ministry of Education, Zhuhai 519082, China
Min Zhong
School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai 519082, China
Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-Sen University), Ministry of Education, Zhuhai 519082, China
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Fan Yang, Jiahui Bai, Hailong Liu, Weihang Zhang, Yi Wu, Shuhao Liu, Chunxiang Shi, Tao Zhang, Min Zhong, Zitong Zhu, Changqing Wang, Ehsan Forootan, Jiangfeng Yu, Zipeng Yu, and Yun Xiao
Earth Syst. Sci. Data, 17, 4691–4714, https://doi.org/10.5194/essd-17-4691-2025, https://doi.org/10.5194/essd-17-4691-2025, 2025
Short summary
Short summary
We introduce China's first de-aliasing computation platform, incorporating China's Atmospheric Reanalysis and an in-house ocean circulation model. This platform produces CRA-LICOM, a high-frequency atmospheric and oceanic gravity de-aliasing product with a 6-hourly, 50 km resolution covering 2002–2024 globally. This product is reliable for de-aliasing, signal separation in satellite gravity missions, and climate change studies.
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Short summary
Freshwater stored on land is changing, but detailed global datasets of terrestrial water storage anomalies remain scarce. By combining satellite gravity observations with hydrological model outputs and glacier- and lake-defined mass concentration groups, we created a monthly high-resolution global dataset for April 2002 to December 2022. Tests show close agreement across river basins, better water-balance consistency in small basins, and better consistency with groundwater well observations.
Freshwater stored on land is changing, but detailed global datasets of terrestrial water storage...
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