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DOI | 10.1016/j.rse.2020.112249 |
Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China | |
Jiang Z.; Hsu Y.-J.; Yuan L.; Huang D. | |
发表日期 | 2021 |
ISSN | 00344257 |
卷号 | 254 |
英文摘要 | Global Navigation Satellite System (GNSS) instruments provide a powerful tool to investigate spatiotemporal variations in regional-scale terrestrial water storage based on the solid Earth's elastic response to hydrologic loading signals. Here, we implemented an independent component analysis-based inversion method to investigate water storage changes and hydrometeorological extremes (e.g., heavy precipitation and droughts) in Yunnan. Our time-varying inversion allows us to reproduce the spatiotemporal evolution of terrestrial water storage changes. Three independent components (ICs) were chosen in our time-varying inversion model. The first two ICs contribute to 96.9% and 2.1% of data variance, respectively, and reveal annual water storage changes at different temporal scales. The third IC slightly explains the network time series and possibly correlates with the nonlinear water changes. The averaged GNSS, Gravity Recovery and Climate Experiment (GRACE), and Global Land Data Assimilation System (GLDAS) based multi-annual seasonal water changes have good consistency in their spatiotemporal signatures. All datasets suggest a gradually increasing trend in seasonal water storage variations from northeast to southwest Yunnan. The peak annual amplitudes of ~355 mm in the GNSS-inferred water estimates are larger than those of ~167–226 mm derived from the GLDAS and GRACE models. Hydrometeorological extremes are tracked in the various water time series, and GNSS-derived water deficits contribute to hydrological drought characterization. We also find good agreement between daily precipitation anomalies, GNSS-, and GLDAS-based water changes during the 2015 winter rainstorm. Our results demonstrate that a continuously operating GNSS network is a complementary tool to remotely measure terrestrial water storage changes and to provide valuable insights into operational hydrological monitoring. © 2020 Elsevier Inc. |
英文关键词 | Drought characterization; Hydrologic loading; Hydrometeorological extremes; Terrestrial water storage; Time-varying inversion |
语种 | 英语 |
scopus关键词 | Digital storage; Drought; Geodetic satellites; Independent component analysis; Integrated circuits; Storms; Time series; Global Navigation Satellite Systems; Gravity recovery and climate experiments; Hydrological monitoring; Land data assimilation systems; Spatio-temporal variation; Spatiotemporal evolution; Terrestrial water storage; Water storage variation; Global positioning system; extreme event; GNSS; GRACE; hydrological modeling; measurement method; precipitation (climatology); time series analysis; water storage; water stress; China; Yunnan |
来源期刊 | Remote Sensing of Environment
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/178998 |
作者单位 | Institute of Earth Sciences, Academia Sinica, Taipei, 11529, Taiwan; Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China |
推荐引用方式 GB/T 7714 | Jiang Z.,Hsu Y.-J.,Yuan L.,et al. Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China[J],2021,254. |
APA | Jiang Z.,Hsu Y.-J.,Yuan L.,&Huang D..(2021).Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China.Remote Sensing of Environment,254. |
MLA | Jiang Z.,et al."Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China".Remote Sensing of Environment 254(2021). |
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