Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation

Sang-Il Lee; Jae Young Seo; Sang Ki Lee

doi:doi:10.11648/j.wros.20140301.12

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Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation

Sang-Il Lee, Jae Young Seo, Sang Ki Lee

Published in Journal of Water Resources and Ocean Science (Volume 3, Issue 1)

Received: 25 February 2014 Accepted: Published: 30 March 2014

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Abstract

New methods estimating the amount of water storage on Earth have evolved over the years. One of them utilizes the gravitational field variation observed from the GRACE satellite. Compared to conventional methods such as water balance analysis, the method makes it simple and straightforward to obtain the terrestrial water storage change (TWSC). Previous studies show that there is a discrepancy between GRACE-based and water balance-based estimates especially in wet periods. Along with precipitation and evapotranspiration, it is common that runoff data needed for the water balance analysis are obtained from GLDAS (Global Land Data Assimilation System). In this study, GLDAS runoff data are replaced with hydrologic simulation results with such anticipation that local geomorphologic and hydrologic characteristics can be better incorporated. In an application to a relatively small basin during a wet period, GLDAS- and simulation-based TWSCs showed values 2.73~3.58 times higher than the GRACE-based estimate. It implies that the GRACE-approach underestimates TWSC during wet periods. It also suggests the need for correction factors to adjust the GRACE-based estimates in the rainy season.

Published in	Journal of Water Resources and Ocean Science (Volume 3, Issue 1)
DOI	10.11648/j.wros.20140301.12
Page(s)	5-9
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

GRACE, Terrestrial Water Storage, GLDAS, Hydrologic Simulation

References

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[2]	M. Rodell, J. S. Famiglietti, J. Chen, S. I. Seneviratne, P. Viterbo, and S. Holl, “Basin scale estimates of evapotranspiration using GRACE and other observations,”Geophys. Res. Lett., 2004, vol. 31, pp. L20504.
[3]	M. Rodell, J. Chen, H. Kato, J. S. Famiglietti, J. Nigro, and C. R. Wilson, “Estimating groundwater storage changes in the Mississippi River Basin (USA) using GRACE,” Hydrogeol. J., 2007, vol. 15, pp. 159-166.
[4]	P. J. F. Yeh, S. C. Swenson, J. S. Famiglietti, and M. Rodell, “Remote sensing of groundwater storage changes in Illinois using the Gravity Recovery and Climate Experiment (GRACE),” Water Resour. Res., 2006, vol. 42, pp. W12203.
[5]	S. Swenson, J. Wahr, and P. C. D. Milly, “Estimated accuracies of regional water storage variations inferred from the Gravity Recovery and Climate Experiment (GRACE),”WaterResour. Res., 2003, vol. 39, pp. 1223.
[6]	J. Wahr, S. Swenson, I. Velicogna, “Accuracy of GRACE mass estimates,”Geophys. Res. Lett., 2006, vol. 33, pp. L06401.
[7]	J.W. Crowely, J.X. Mitrovica, R.C. Bailey, M.E. Tamisiea, and J.L. Davis, “Land water storage within the Congo Basin inferred from GRACE satellite gravity data,”Geophys. Res. Lett., 2006, vol. 33, pp. L19402.
[8]	M. Rodell, I. Velicogna, and J.S. Famiglietti, “Satellite-based estimates of groundwater depletion in India,” Nature, 2009, vol. 460, pp. 999-1002.
[9]	M. Becker, W. LLovel, A. Cazenave, A. Guntner, and J. F. Cretaux, “Recent hydrological behavior of the East African great lakes region inferred from GRACE, satellite altimetry and rainfall observations,” C. R. Geosci., 2010, vol. 342, pp. 223–233.
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APA Style

Sang-Il Lee, Jae Young Seo, Sang Ki Lee. (2014). Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation. Journal of Water Resources and Ocean Science, 3(1), 5-9. https://doi.org/10.11648/j.wros.20140301.12

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ACS Style

Sang-Il Lee; Jae Young Seo; Sang Ki Lee. Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation. J. Water Resour. Ocean Sci. 2014, 3(1), 5-9. doi: 10.11648/j.wros.20140301.12

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AMA Style

Sang-Il Lee, Jae Young Seo, Sang Ki Lee. Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation. J Water Resour Ocean Sci. 2014;3(1):5-9. doi: 10.11648/j.wros.20140301.12

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@article{10.11648/j.wros.20140301.12,
  author = {Sang-Il Lee and Jae Young Seo and Sang Ki Lee},
  title = {Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation},
  journal = {Journal of Water Resources and Ocean Science},
  volume = {3},
  number = {1},
  pages = {5-9},
  doi = {10.11648/j.wros.20140301.12},
  url = {https://doi.org/10.11648/j.wros.20140301.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20140301.12},
  abstract = {New methods estimating the amount of water storage on Earth have evolved over the years. One of them utilizes the gravitational field variation observed from the GRACE satellite. Compared to conventional methods such as water balance analysis, the method makes it simple and straightforward to obtain the terrestrial water storage change (TWSC). Previous studies show that there is a discrepancy between GRACE-based and water balance-based estimates especially in wet periods. Along with precipitation and evapotranspiration, it is common that runoff data needed for the water balance analysis are obtained from GLDAS (Global Land Data Assimilation System). In this study, GLDAS runoff data are replaced with hydrologic simulation results with such anticipation that local geomorphologic and hydrologic characteristics can be better incorporated. In an application to a relatively small basin during a wet period, GLDAS- and simulation-based TWSCs showed values 2.73~3.58 times higher than the GRACE-based estimate. It implies that the GRACE-approach underestimates TWSC during wet periods. It also suggests the need for correction factors to adjust the GRACE-based estimates in the rainy season.},
 year = {2014}
}

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TY - JOUR
T1 - Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation
AU - Sang-Il Lee
AU - Jae Young Seo
AU - Sang Ki Lee
Y1 - 2014/03/30
PY - 2014
N1 - https://doi.org/10.11648/j.wros.20140301.12
DO - 10.11648/j.wros.20140301.12
T2 - Journal of Water Resources and Ocean Science
JF - Journal of Water Resources and Ocean Science
JO - Journal of Water Resources and Ocean Science
SP - 5
EP - 9
PB - Science Publishing Group
SN - 2328-7993
UR - https://doi.org/10.11648/j.wros.20140301.12
AB - New methods estimating the amount of water storage on Earth have evolved over the years. One of them utilizes the gravitational field variation observed from the GRACE satellite. Compared to conventional methods such as water balance analysis, the method makes it simple and straightforward to obtain the terrestrial water storage change (TWSC). Previous studies show that there is a discrepancy between GRACE-based and water balance-based estimates especially in wet periods. Along with precipitation and evapotranspiration, it is common that runoff data needed for the water balance analysis are obtained from GLDAS (Global Land Data Assimilation System). In this study, GLDAS runoff data are replaced with hydrologic simulation results with such anticipation that local geomorphologic and hydrologic characteristics can be better incorporated. In an application to a relatively small basin during a wet period, GLDAS- and simulation-based TWSCs showed values 2.73~3.58 times higher than the GRACE-based estimate. It implies that the GRACE-approach underestimates TWSC during wet periods. It also suggests the need for correction factors to adjust the GRACE-based estimates in the rainy season.
VL - 3
IS - 1
ER -

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Author Information

Sang-Il Lee

Department of Civil and Environmental Engineering, Dongguk University, Seoul, South Korea
Jae Young Seo

Department of Civil and Environmental Engineering, Dongguk University, Seoul, South Korea
Sang Ki Lee

Department of Civil Engineering, University of Idaho, Boise, ID, USA

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APA Style

Sang-Il Lee, Jae Young Seo, Sang Ki Lee. (2014). Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation. Journal of Water Resources and Ocean Science, 3(1), 5-9. https://doi.org/10.11648/j.wros.20140301.12

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ACS Style

Sang-Il Lee; Jae Young Seo; Sang Ki Lee. Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation. J. Water Resour. Ocean Sci. 2014, 3(1), 5-9. doi: 10.11648/j.wros.20140301.12

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AMA Style

Sang-Il Lee, Jae Young Seo, Sang Ki Lee. Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation. J Water Resour Ocean Sci. 2014;3(1):5-9. doi: 10.11648/j.wros.20140301.12

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@article{10.11648/j.wros.20140301.12,
  author = {Sang-Il Lee and Jae Young Seo and Sang Ki Lee},
  title = {Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation},
  journal = {Journal of Water Resources and Ocean Science},
  volume = {3},
  number = {1},
  pages = {5-9},
  doi = {10.11648/j.wros.20140301.12},
  url = {https://doi.org/10.11648/j.wros.20140301.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20140301.12},
  abstract = {New methods estimating the amount of water storage on Earth have evolved over the years. One of them utilizes the gravitational field variation observed from the GRACE satellite. Compared to conventional methods such as water balance analysis, the method makes it simple and straightforward to obtain the terrestrial water storage change (TWSC). Previous studies show that there is a discrepancy between GRACE-based and water balance-based estimates especially in wet periods. Along with precipitation and evapotranspiration, it is common that runoff data needed for the water balance analysis are obtained from GLDAS (Global Land Data Assimilation System). In this study, GLDAS runoff data are replaced with hydrologic simulation results with such anticipation that local geomorphologic and hydrologic characteristics can be better incorporated. In an application to a relatively small basin during a wet period, GLDAS- and simulation-based TWSCs showed values 2.73~3.58 times higher than the GRACE-based estimate. It implies that the GRACE-approach underestimates TWSC during wet periods. It also suggests the need for correction factors to adjust the GRACE-based estimates in the rainy season.},
 year = {2014}
}

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