Spatiotemporal Downscaling of GRACE Total Water Storage Using Land Surface Model Outputs

Zhong, Detang; Wang, Shusen; Li, Junhua

doi:10.3390/rs13050900

Cited by 18 publications

(3 citation statements)

References 64 publications

(80 reference statements)

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“…Especially in North China, numerous studies [14][15][16][17][18][19] have focused on explaining the depletion of groundwater resources, as well as the effects of the South-to-North Water Diversion Project on groundwater storage in the North China Plain [20][21][22]. As the timeline of GRACE monitoring data increases and data processing capabilities improve, there is a growing interest in employing statistical downscaling techniques (e.g., multiple regression [23], artificial neural networks [24], and machine learning [25]) or dynamic downscaling approaches, such as data assimilation [26] and hydrological models [27], to assess small-scale regional groundwater storage variations. In North China, Yin et al [28] effectively employed statistical downscaling of GRACE-derived groundwater storage anomalies (GWSA) by incorporating evapotranspiration data in the North China Plain, yielding satisfactory results.…”

Section: Introductionmentioning

confidence: 99%

Providing Enhanced Insights into Groundwater Exchange Patterns through Downscaled GRACE Data

Sun,

Hu,

Zhang

et al. 2024

Remote Sensing

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The measurement of groundwater exchange between neighboring regions is a critical topic in water resource management and can usually be achieved through a combination of field investigations and the use of groundwater flow models. In this study, we employed the water balance and Darcy’s law methods, utilizing downscaled Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow On (GRACE-FO) data to assess groundwater exchange patterns in the Beijing-Tianjin-Hebei (BTH) region of China. Additionally, we determined the contributions of human activities and climate factors to the observed variations via residual analysis. The results revealed a consistent decrease in groundwater storage in the study area since 2008, especially in the spring and summer months. The groundwater exchange rates calculated by 1° and 0.05° groundwater storage anomalies (GWSAs) were basically consistent, and the downscaled GWSAs could better reflect the small-scale groundwater exchange characteristics. The groundwater exchange rate showed a decreasing trend from the Piedmont plain to the coastal areas. A notable trend of declining groundwater exchange between the Taihang Mountains and Piedmont plains was observed, and the downward trend gradually intensified from north to south between 2003 and 2007. After 2008, there was an increasing trend, and coastal areas exhibited the smallest amount of groundwater exchange. Human activities emerged as the predominant factor accounting for more than 90.9% of the overall reduction in groundwater storage, while climate change imposed a minimal influence on groundwater storage variations. The insights obtained in this study hold significant implications for groundwater resource planning and management in the region.

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Section: Introductionmentioning

confidence: 99%

Providing Enhanced Insights into Groundwater Exchange Patterns through Downscaled GRACE Data

Sun,

Hu,

Zhang

et al. 2024

Remote Sensing

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“…Scholars within the academic domain have developed land surface hydrological models that capitalize on the equilibrium of moisture and energy exchanges between the terrestrial surface and the atmosphere [19]. However, the performance of these models is often limited by the uncertainty of physical parameters, the influence of meteorological forcing factors (especially precipitation conditions), and inherent limitations in the models' structure [20]. On the other hand, considering the complex terrain and limited observational data, it is hard to precisely capture the dynamics of groundwater storage solely on field observations, particularly in the arid regions of northwest China [21].…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Variation Analysis of Groundwater Stocks in Xinjiang Based on GRACE Data

Duan,

Chen,

et al. 2024

Remote Sensing

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Situated in China’s arid and semi-arid zones, the Xinjiang region heavily relies on groundwater for its freshwater supply. This study utilizes data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission, covering the years 2003 to 2021, to quantitatively evaluate the temporal and spatial changes in groundwater storage anomalies (GWSA) in the Xinjiang region. Furthermore, we incorporate the HydroSHEDS dataset to examine the spatial variations in groundwater storage anomalies across watersheds of varying scales. Based on our findings, the GWSA decreased during the study period at a mean rate of −0.381 mm/month, marked by a consistent trend and notable interannual variability. In addition, significant regional disparities are observed; while groundwater storage in the southeastern watersheds is on an upward trend, a general decline is noted in the northern and central regions. The most pronounced depletion is detected in the northwest, especially in the Ili River basin and along the western slopes of the Tianshan Mountains. These changes are intricately linked to anthropogenic factors, including population growth and escalating water demands. In response, the study advocates for the development and enforcement of more rigorous and scientifically informed groundwater management strategies to promote sustainable water use in Xinjiang.

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“…These two missions provide a unique tool for determining the temporal variations of gravity; consequently, the mass redistribution processes that have generated the gravity changes [4]. GRACE and GRACE-FO have become essential sources of data when monitoring the variation in water fluxes over large basins (e.g., the Mediterranean Sea [5], the Arabian Peninsula [6][7][8], Niger [9], Michigan [10], the Amazonas [11][12][13], the La Plata basins [14,15], the Nubian and Nile basins [16][17][18][19][20][21]), and for the analysis of climate changes via ice mass balance [22][23][24], sea level rise [25,26], ground water storage [27][28][29][30][31], and extreme precipitation [32]. In the present study, a GRACE-and GRACE-FO-based gravity anomaly time series is determined and utilized to analyze the desiccation process of the Aral Sea.…”

Section: Introductionmentioning

confidence: 99%

Water Density Variations of the Aral Sea from GRACE and GRACE-FO Monthly Solutions

Földváry

Abdelmohsen

Ambrus

2023

Water

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The Gravity Recovery and Climate Experiment (GRACE) and its successor, the GRACE Follow-On (GRACE-FO) gravity satellite missions, have been providing monthly gravity field solutions for almost 20 years, enabling a unique opportunity to monitor large-scale mass variation processes. The gravity anomaly time series for the Aral Sea region has been obtained for the period of April 2002 to January 2022. The method of determining the gravity anomaly time series from GRACE and GRACE-FO monthly solutions has been improved by considering the mass variations of the Caspian Sea. The gravity anomaly time series was then compared to water mass changes determined by considering variations in the salinity and temperature of seawater. Nevertheless, the tests suggest that improvements in correlation with such information might occur, although the relevance of the improvement should not be overestimated. All in all, it can be demonstrated that salinity changes relevantly influence the gravity field; however, the signal is too weak to inversely obtain information from satellite-borne gravity observations on salinity variations.

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Spatiotemporal Downscaling of GRACE Total Water Storage Using Land Surface Model Outputs

Cited by 18 publications

References 64 publications

Providing Enhanced Insights into Groundwater Exchange Patterns through Downscaled GRACE Data

Providing Enhanced Insights into Groundwater Exchange Patterns through Downscaled GRACE Data

Temporal and Spatial Variation Analysis of Groundwater Stocks in Xinjiang Based on GRACE Data

Water Density Variations of the Aral Sea from GRACE and GRACE-FO Monthly Solutions

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