Publication Abstracts

Long et al. 2015

Long, D., Y. Yang, Y. Wada, Y. Hong, W. Liang, Y. Chen, B. Yong, A. Hou, J. Wei, and L. Chen, 2015: Deriving scaling factors using a global hydrological model to restore GRACE total water storage changes for China's Yangtze River Basin. Remote Sens. Environ., 168, 177-193, doi:10.1016/j.rse.2015.07.003.

This study used a global hydrological model (GHM), PCR-GLOBWB, which simulates surface water storage changes, natural and human induced groundwater storage changes, and the interactions between surface water and subsurface water, to generate scaling factors by mimicking low-pass filtering of GRACE signals. Signal losses in GRACE data were subsequently restored by the scaling factors from PCR-GLOBWB. Results indicate greater spatial heterogeneity in scaling factor from PCR-GLOBWB and CLM4.0 than that from GLDAS-1 Noah due to comprehensive simulation of surface and subsurface water storage changes for PCR-GLOBWB and CLM4.0. Filtered GRACE total water storage (TWS) changes applied with PCR-GLOBWB scaling factors show closer agreement with water budget estimates of TWS changes than those with scaling factors from other land surface models (LSMs) in China's Yangtze River basin. Results of this study develop a further understanding of the behavior of scaling factors from different LSMs or GHMs over hydrologically complex basins, and could be valuable in providing more accurate TWS changes for hydrological applications (e.g., monitoring drought and groundwater storage depletion) over regions where human-induced interactions between surface water and subsurface water are intensive.

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BibTeX Citation

@article{lo04100o,
  author={Long, D. and Yang, Y. and Wada, Y. and Hong, Y. and Liang, W. and Chen, Y. and Yong, B. and Hou, A. and Wei, J. and Chen, L.},
  title={Deriving scaling factors using a global hydrological model to restore GRACE total water storage changes for China's Yangtze River Basin},
  year={2015},
  journal={Remote Sens. Environ.},
  volume={168},
  pages={177--193},
  doi={10.1016/j.rse.2015.07.003},
}

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RIS Citation

TY  - JOUR
ID  - lo04100o
AU  - Long, D.
AU  - Yang, Y.
AU  - Wada, Y.
AU  - Hong, Y.
AU  - Liang, W.
AU  - Chen, Y.
AU  - Yong, B.
AU  - Hou, A.
AU  - Wei, J.
AU  - Chen, L.
PY  - 2015
TI  - Deriving scaling factors using a global hydrological model to restore GRACE total water storage changes for China's Yangtze River Basin
JA  - Remote Sens. Environ.
VL  - 168
SP  - 177
EP  - 193
DO  - 10.1016/j.rse.2015.07.003
ER  -

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