Reconstructing GRACE-derived terrestrial water storage anomalies with in-situ groundwater level measurements and meteorological forcing data

Li, Peijun; Zha, Yuanyuan; Tso, Chak-Hau Michael ORCID: https://orcid.org/0000-0002-2415-0826. 2023 Reconstructing GRACE-derived terrestrial water storage anomalies with in-situ groundwater level measurements and meteorological forcing data. Journal of Hydrology: Regional Studies, 50, 101528. 19, pp. 10.1016/j.ejrh.2023.101528

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Official URL: http://dx.doi.org/10.1016/j.ejrh.2023.101528

Abstract/Summary

•Study region: North China Plain (NCP), China, a semi-arid region with intense groundwater withdrawals. •Study focus: This paper developed a framework using meteorological data, model-simulated terrestrial water storage anomalies (TWSA), and additional in-situ (groundwater level, GL) data to improve the unsatisfactory GRACE-TWSA reconstruction in arid and semi-arid regions due to the intense anthropogenic influence on groundwater. The inconsistency between point-scale data (GL) and grid-scale data (GRACE-TWSA and predictors other than GL) is handled by feature extraction techniques. Moreover, to deal with temporal non-stationarity, the time series are separated into trend and detrended components, the patterns of which are further learned by linear and nonlinear machine learning models, respectively. New hydrological insights for the region: Multi-site GL observations in NCP can not only serve as validation data but also as predictors providing invaluable information on human effects for the reconstructed TWSA improvement (from 6.51 to 3.86 cm for Root Mean Square Error and from 0.56 to 0.82 for Nash-Sutcliffe Efficiency). Our results show that multi-site GL data in NCP are highly inter-correlated and can be represented by several principal components, demonstrating the strong hydraulic connectivity in NCP. We also find a significant one-month lag and linear relationship between the trends of GRACE-TWSA and GL changes in NCP. These deeper understandings of hydrologic processes have implications for enhancing the GRACE-TWSA estimations in other similar regions.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.ejrh.2023.101528
UKCEH and CEH Sections/Science Areas:	Pollution (Science Area 2017-)
ISSN:	2214-5818
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	GRACE, terrestrial water storage, groundwater level, land surface model, North China Plain
NORA Subject Terms:	Hydrology Meteorology and Climatology Data and Information
Related URLs:	Dataset Dataset Dataset Dataset
Date made live:	09 Nov 2023 14:59 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/536090

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.ejrh.2023.101528

UKCEH and CEH Sections/Science Areas:

Pollution (Science Area 2017-)

ISSN:

2214-5818

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

GRACE, terrestrial water storage, groundwater level, land surface model, North China Plain