Statistical downscaling of GRACE terrestrial water storage changes based on the Australian Water Outlook model

被引:2
作者
Kalu, Ikechukwu [1 ,2 ]
Ndehedehe, Christopher E. [1 ,2 ]
Ferreira, Vagner G. [3 ]
Janardhanan, Sreekanth [4 ]
Currell, Matthew [2 ,5 ]
Kennard, Mark J. [1 ,2 ]
机构
[1] Griffith Univ, Sch Environm & Sci, Nathan, Qld 4111, Australia
[2] Griffith Univ, Australian Rivers Inst, Nathan, Qld 4111, Australia
[3] Hohai Univ, Sch Earth Sci & Engn, Nanjing, Peoples R China
[4] CSIRO Land & Water, Dutton Pk, Qld 4102, Australia
[5] Griffith Univ, Sch Engn & Built Environm, Nathan, Qld 4111, Australia
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
基金
澳大利亚研究理事会;
关键词
COMPONENT ANALYSIS; MANN-KENDALL; EVAPOTRANSPIRATION; VARIABILITY; GROUNDWATER; IMPACTS; TESTS; CYCLE; RIVER;
D O I
10.1038/s41598-024-60366-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The coarse spatial resolution of the Gravity Recovery and Climate Experiment (GRACE) dataset has limited its application in local water resource management and accounting. Despite efforts to improve GRACE spatial resolution, achieving high resolution downscaled grids that correspond to local hydrological behaviour and patterns is still limited. To overcome this issue, we propose a novel statistical downscaling approach to improve the spatial resolution of GRACE-terrestrial water storage changes (Delta TWS) using precipitation, evapotranspiration (ET), and runoff data from the Australian Water Outlook. These water budget components drive changes in the GRACE water column in much of the global land area. Here, the GRACE dataset is downscaled from the original resolution of 1.0 degrees x1.0 degrees to 0.05 degrees x0.05 degrees over a large hydro-geologic basin in northern Australia (the Cambrian Limestone Aquifer-CLA), capturing sub- grid heterogeneity in Delta TWS of the region. The downscaled results are validated using data from 12 in-situ groundwater monitoring stations and water budget estimates of the CLA's land water storage changes from April 2002 to June 2017. The change in water storage over time (ds/dt) estimated from the water budget model was weakly correlated (r=0.34) with the downscaled GRACE Delta TWS. The weak relationship was attributed to the possible uncertainties inherent in the ET datasets used in the water budget, particularly during the summer months. Our proposed methodology provides an opportunity to improve freshwater reporting using GRACE and enhances the feasibility of downscaling efforts for other hydrological data to strengthen local-scale applications.
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页数:19
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