Thu Dec 12, F.Flechtner
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Wang, Wei, Shen, Yunzhong, Chen, Qiujie, and Wang, Fengwei, 2024. High-Spatial Resolution Mascon Solution Over High Mountain Asia Constrained by Multisource Prior Information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17:13030–13046, doi:10.1109/JSTARS.2024.3429328.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024IJSTA..1713030W,
author = {{Wang}, Wei and {Shen}, Yunzhong and {Chen}, Qiujie and {Wang}, Fengwei},
title = "{High-Spatial Resolution Mascon Solution Over High Mountain Asia Constrained by Multisource Prior Information}",
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
year = 2024,
month = jan,
volume = {17},
pages = {13030-13046},
doi = {10.1109/JSTARS.2024.3429328},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024IJSTA..1713030W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System},
abstract = {The non-tectonic deformation caused by hydrological loads is an important influencing factor in GNSS vertical displacement. Limited by the temporal and spatial resolution of global models and model errors, the hydrological load results calculated by traditional methods are difficult to meet the high temporal and spatial resolution requirements of small to medium-scale regions. This paper introduces the idea of the remove–restore method, assimilates regional high-resolution hydrological data, and obtains higher temporal and spatial-resolution hydrological load results. Subsequently, utilizing data from 12 CORS observed in the western Yunnan region between January 2018 and December 2020, the quantitative relationship and variation characteristics between GNSS vertical displacement and hydrological load displacement were analyzed in detail. Furthermore, the annual signals of both were extracted using the SSA method for comparative analysis. After removing the effects of atmospheric load and non-tidal ocean load, the average correlation coefficient between GNSS vertical displacement and hydrological load displacement is 0.84, with an average reduction of WRMS (\%) reaching 37.17\%. The average correlation coefficient of the annual signals between GNSS vertical displacement and hydrological load deformation is 0.94, with an average reduction of WRMS (\%) reaching 46.5\%, indicating that the contribution of hydrological load to the GNSS non-tectonic vertical displacement annual signal is close to 50\%. The research results provide scientific support and important references for studying surface tectonic deformation by removing non-tectonic deformations such as hydrological loads from GNSS vertical displacement. Additionally, it helps to explore the mechanisms of interaction between water storage migration and surface deformation.}
}
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