从基于 GRACE 的位势差和全球导航卫星系统垂直位移数据的联合反演估算巴西陆地蓄水量的变化

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES Water Resources Research Pub Date : 2024-11-05 DOI:10.1029/2024wr037538
Bo Zhong, Xianpao Li, Jianli Chen, Jiancheng Li, Hongyi Xu
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引用次数: 0

摘要

重力恢复和气候实验(GRACE)卫星重力测量和全球导航卫星系统(GNSS)地表位移测量为监测陆地蓄水量(TWS)变化提供了互补优势。我们提出了一种新的联合反演模型,该模型基于使用 mascon 方法的基于 GRACE 的位势差(GPD)观测数据和使用格林函数方法的全球导航卫星系统垂直位移数据的组合,以获得可靠的巴西 TWS 变化。通过闭环模拟评估了联合反演 TWS 变化的性能,并利用水预算闭合(P-ET-R)和卫星测高法的河流水位观测数据与水文气象数据(降水-P、蒸散-ET 和径流-R)进行了比较。模拟结果表明,联合反演结果的准确性和可靠性高于基于GPD的GRACE mascon(GPD-mascon)和GNSS解决方案,与GPD-mascon和GNSS解决方案相比,联合反演结果的标准偏差(STD)分别减少了∼6.98毫米和∼37.5毫米。与 GPD-mascon 解决方案相比,GRACE 和 GNSS 真实数据的联合反演显示出明显较低的不确定性,并比纯 GNSS 解决方案有显著改进。三种反演方法(联合反演、GPD-mascon 和 GNSS 解决方案,通过水预算闭合结合 P 和 ET)得出的月 R 时间序列与原位观测值之间的 STD 和相关系数分别为 19.607 毫米和 0.912,20.879 毫米和 0.904,以及 31.370 毫米和 0.778。与 GPD-mascon 和全球导航卫星系统方案相比,联合估算结果与河流水位观测结果的相关性也更好。此外,在周时间尺度上,联合反演结果与 P-ET-R 数据的一致性优于 GPD-mascon 和 GNSS 解决方案。
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Estimation of Terrestrial Water Storage Changes in Brazil From the Joint Inversion of GRACE-Based Geopotential Difference and GNSS Vertical Displacement Data
Gravity Recovery and Climate Experiment (GRACE) satellite gravimetry and Global Navigation Satellite System (GNSS) surface displacement measurements offer complementary advantages for monitoring terrestrial water storage (TWS) changes. We propose a new joint inversion model based on the combination of GRACE-based geopotential difference (GPD) observations using the mascon method and GNSS vertical displacements through the Green's function method to obtain reliable TWS changes in Brazil. The performance of the jointly inverted TWS changes is assessed through closed-loop simulations and comparisons with hydrometeorological data (precipitation-P, evapotranspiration-ET, and runoff-R) using water budget closure (P-ET-R) and river water level observations from satellite altimetry. The simulation results indicate that the joint inversion results exhibit higher accuracy and reliability than GRACE GPD-based mascon (GPD-mascon) and GNSS solutions, and the standard deviations (STDs) of joint results decrease by ∼6.98 and ∼37.5 mm compared to those from GPD-mascon and GNSS solutions. The joint inversion of real GRACE and GNSS data demonstrates notably lower uncertainty than that of GPD-mascon solutions and exhibits significant improvement than GNSS-only solutions. The STDs and correlation coefficients between monthly R time series derived from three inversion methods (joint inversion, GPD-mascon and GNSS solutions, combined with P and ET through water budget closure) and in situ observations are 19.607 mm and 0.912, 20.879 mm and 0.904, and 31.370 mm and 0.778, respectively. The joint estimates also yield better correlation with river water level observations compared to GPD-mascon and GNSS solutions. Furthermore, at the weekly time scale, the joint inversion results show better consistency with P-ET-R data than those from GPD-mascon and GNSS solutions.
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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