Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 9
Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4253-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-4253-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 9
Data description paper
 | 
01 Sep 2025
Data description paper |  | 01 Sep 2025

GCL-Mascon2024: a novel satellite gravimetry mascon solution using the short-arc approach

Zhengwen Yan, Jiangjun Ran, Pavel Ditmar, C. K. Shum, Roland Klees, Patrick Smith, and Xavier Fettweis

Viewed

Total article views: 1,906 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,680 189 37 1,906 49 57
  • HTML: 1,680
  • PDF: 189
  • XML: 37
  • Total: 1,906
  • BibTeX: 49
  • EndNote: 57
Views and downloads (calculated since 14 Jan 2025)
Cumulative views and downloads (calculated since 14 Jan 2025)

Viewed (geographical distribution)

Total article views: 1,906 (including HTML, PDF, and XML) Thereof 1,889 with geography defined and 17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 06 Oct 2025
Download
Short summary
The Gravity Recovery And Climate Experiment (GRACE) mission has greatly improved our understanding of changes in Earth's gravity field over time. A novel mass concentration (mascon) dataset, GCL-Mascon2024, was determined by leveraging the short-arc approach, advanced spatial constraints, a frequency-dependent noise processing strategy, and parameterization-integrating natural boundaries, aiming to enhance accuracy for monitoring mass transportation on Earth.
Read more
Share
Altmetrics
Final-revised paper
Preprint