| Title | Spatiotemporal downscaling of GRACE total water storage using land surface model outputs |
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| Author | Zhong, D ; Wang,
S; Li, J |
| Source | Remote Sensing vol. 13, issue 5, 900, 2021 p. 1-19, https://doi.org/10.3390/rs13050900  Open Access |
| Image |  |
| Year | 2021 |
| Alt Series | Natural Resources Canada, Contribution Series 20200787 |
| Publisher | MDPI |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf; html |
| Province | Alberta |
| NTS | 72E; 72L; 72M; 73D; 73E; 73L; 73M; 74D; 74E; 74L; 82G; 82H; 82I; 82J; 82O; 82P; 83; 84A; 84B; 84C; 84D; 84E; 84F; 84G; 84H; 84I; 84J; 84K; 84L |
| Lat/Long WENS | -120.0000 -110.0000 58.5000 49.0000 |
| Subjects | geophysics; hydrogeology; Nature and Environment; Science and Technology; surface waters; groundwater; soil moisture; snow; ice; remote sensing; satellite imagery; models; observation wells; Gravity
Recovery and Climate Experiment (GRACE); Ecological Assimilation of Land and Climate Observations (EALCO) Model; Methodology |
| Illustrations | location maps; geoscientific sketch maps; plots; time series; models |
| Program | Canada Centre for Remote Sensing Canada Centre for Remote Sensing Water Program |
| Released | 2021 02 27 |
| Abstract | High spatiotemporal resolution of terrestrial total water storage plays a key role in assessing trends and availability of water resources. This study presents a two-step method for downscaling
GRACE-derived total water storage anomaly (GRACE TWSA) from its original coarse spatiotemporal resolution (monthly, 3-degree spherical cap/~300 km) to a high resolution (daily, 5 km) through combining land surface model (LSM) simulated high
spatiotemporal resolution terrestrial water storage anomaly (LSM TWSA). In the first step, an iterative adjustment method based on the self-calibration variance-component model (SCVCM) is used to spatially downscale the monthly GRACE TWSA to the high
spatial resolution of the LSM TWSA. In the second step, the spatially downscaled monthly GRACE TWSA is further downscaled to the daily temporal resolution. By applying the method to downscale the coarse resolution GRACE TWSA from the Jet Propulsion
Laboratory (JPL) mascon solution with the daily high spatial resolution (5 km) LSM TWSA from the Ecological Assimilation of Land and Climate Observations (EALCO) model, we evaluated the benefit and effectiveness of the proposed method. The results
show that the proposed method is capable to downscale GRACE TWSA spatiotemporally with reduced uncertainty. The downscaled GRACE TWSA are also evaluated through in-situ groundwater monitoring well observations and the results show a certain level
agreement between the estimated and observed trends. |
| GEOSCAN ID | 328175 |
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