Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4253-2025
https://doi.org/10.5194/essd-17-4253-2025
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

Data sets

GCL-Mascon2024: a novel satellite gravimetry Mascon solution using the short-arc approach Zhengwen Yan and Jiangjun Ran https://doi.org/10.5281/zenodo.15525467

The global water resources and use model WaterGAP v2.2d - Alternative model output driven with gswp3-w5e5 Hannes Müller Schmied et al. https://doi.org/10.1594/PANGAEA.948461

CSR GRACE and GRACE-FO RL06 mascon solutions v02 H. Save https://doi.org/10.15781/cgq9-nh24

Regularization and error characterization of GRACE mascons (https://earth.gsfc.nasa.gov/geo/data/grace-mascons) B. D. Loomis et al. https://doi.org/10.1007/s00190-019-01252-y

Improved precise kinematic LEO orbits based on the raw observation approach B. Suesser-Rechberger et al. http://ftp.tugraz.at

ITSG-Grace2018 - Monthly, Daily and Static Gravity Field Solutions from GRACE T. Mayer-Gürr et al. https://doi.org/10.5880/ICGEM.2018.003

JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height CRI Filtered. Ver. RL06.1Mv03 D. N. Wiese et al. https://doi.org/10.5067/TEMSC-3JC63

The contribution of TOPEX/POSEIDON to the global monitoring of climatically sensitive lakes (https://ipad.fas.usda.gov/cropexplorer/global_reservoir/) C. M. Birkett https://doi.org/10.1029/95JC02125

Reconstructions of the 1900–2015 Greenland ice sheet surface mass balance using the regional climate MAR model (http://ftp.climato.be:80/fettweis/MARv3.14/Greenland/) X. Fettweis et al. https://doi.org/10.5194/tc-11-1015-2017

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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.
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