Articles | Volume 23, issue 8
https://doi.org/10.5194/hess-23-3269-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-3269-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Aug 2019
Research article |
| 09 Aug 2019
| 09 Aug 2019
Using GRACE in a streamflow recession to determine drainable water storage in the Mississippi River basin
Heloisa Ehalt Macedo
CORRESPONDING AUTHOR
Geography Department, McGill University, Montreal, Quebec, Canada
Civil and Environmental Engineering Department, Northeastern
University, Boston, Massachusetts, USA
Ralph Edward Beighley
Civil and Environmental Engineering Department, Northeastern
University, Boston, Massachusetts, USA
Cédric H. David
NASA Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
John T. Reager
NASA Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
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Cited
21 citations as recorded by crossref.
- Quantifying the Effect of GRACE Terrestrial Water Storage Anomaly in the Simulation of Extreme Flows D. Gupta & C. Dhanya 10.1061/(ASCE)HE.1943-5584.0002072
- A novel method for cold-region streamflow hydrograph separation using GRACE satellite observations S. Wang et al. 10.5194/hess-25-2649-2021
- Estimating seasonal water budgets in global lakes by using multi-source remote sensing measurements T. Chen et al. 10.1016/j.jhydrol.2020.125781
- Characterization of Basin-Scale Dynamic Storage–Discharge Relationship Using Daily GRACE Based Storage Anomaly Data D. Sharma et al. 10.3390/geosciences10100404
- Monitoring groundwater storage in a fractured volcanic aquifer system M. Melati et al. 10.1007/s10661-023-10978-4
- Estimation of Total Drainable Water Storage Using GRACE in the Brahmaputra River Basin, India P. Parmita & R. Bhattacharjya 10.1061/JHYEFF.HEENG-6136
- Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin J. Gehring et al. 10.3390/rs14153541
- Global evaluation of model agreement and uncertainty in terrestrial water storage simulations from ISIMIP 2b framework J. Ju et al. 10.1016/j.jhydrol.2023.129137
- Lumped variable representing the integrative effects of climate and underlying surface system: Interpreting Budyko model parameter from earth system science perspective C. Cheng et al. 10.1016/j.jhydrol.2023.129379
- Methodological evaluation of river discharges derived from remote sensing and land surface models B. Duvvuri et al. 10.1038/s41598-024-75361-w
- Combining Optical Remote Sensing, McFLI Discharge Estimation, Global Hydrologic Modeling, and Data Assimilation to Improve Daily Discharge Estimates Across an Entire Large Watershed Y. Ishitsuka et al. 10.1029/2020WR027794
- Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies B. Duvvuri & E. Beighley 10.3390/rs15184516
- Watershed‐Scale Effective Hydraulic Properties of the Continental United States A. Tashie et al. 10.1029/2020MS002440
- Current availability and distribution of Congo Basin’s freshwater resources M. Tourian et al. 10.1038/s43247-023-00836-z
- Unique episodic groundwater recharge event in a South American sedimentary aquifer and its long‐term impact on baseflow M. Dambros Melati et al. 10.1002/hyp.14388
- A unified framework of water balance models for monthly, annual, and mean annual timescales X. Zhang et al. 10.1016/j.jhydrol.2020.125186
- Deep Learning Approaches to Spatial Downscaling of GRACE Terrestrial Water Storage Products Using EALCO Model Over Canada H. He et al. 10.1080/07038992.2021.1954498
- Influences of reservoir operation on terrestrial water storage changes detected by GRACE in the Yellow River basin J. Xie et al. 10.1016/j.jhydrol.2022.127924
- GRACE Satellites Enable Long-Lead Forecasts of Mountain Contributions to Streamflow in the Low-Flow Season X. Liu et al. 10.3390/rs13101993
- Global hydroclimatic drivers of terrestrial water storage changes in different climates X. Zhang et al. 10.1016/j.catena.2022.106598
- Characterizing hydrograph recessions from satellite-derived soil moisture S. Basso et al. 10.1016/j.scitotenv.2020.143469
21 citations as recorded by crossref.
- Quantifying the Effect of GRACE Terrestrial Water Storage Anomaly in the Simulation of Extreme Flows D. Gupta & C. Dhanya 10.1061/(ASCE)HE.1943-5584.0002072
- A novel method for cold-region streamflow hydrograph separation using GRACE satellite observations S. Wang et al. 10.5194/hess-25-2649-2021
- Estimating seasonal water budgets in global lakes by using multi-source remote sensing measurements T. Chen et al. 10.1016/j.jhydrol.2020.125781
- Characterization of Basin-Scale Dynamic Storage–Discharge Relationship Using Daily GRACE Based Storage Anomaly Data D. Sharma et al. 10.3390/geosciences10100404
- Monitoring groundwater storage in a fractured volcanic aquifer system M. Melati et al. 10.1007/s10661-023-10978-4
- Estimation of Total Drainable Water Storage Using GRACE in the Brahmaputra River Basin, India P. Parmita & R. Bhattacharjya 10.1061/JHYEFF.HEENG-6136
- Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin J. Gehring et al. 10.3390/rs14153541
- Global evaluation of model agreement and uncertainty in terrestrial water storage simulations from ISIMIP 2b framework J. Ju et al. 10.1016/j.jhydrol.2023.129137
- Lumped variable representing the integrative effects of climate and underlying surface system: Interpreting Budyko model parameter from earth system science perspective C. Cheng et al. 10.1016/j.jhydrol.2023.129379
- Methodological evaluation of river discharges derived from remote sensing and land surface models B. Duvvuri et al. 10.1038/s41598-024-75361-w
- Combining Optical Remote Sensing, McFLI Discharge Estimation, Global Hydrologic Modeling, and Data Assimilation to Improve Daily Discharge Estimates Across an Entire Large Watershed Y. Ishitsuka et al. 10.1029/2020WR027794
- Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies B. Duvvuri & E. Beighley 10.3390/rs15184516
- Watershed‐Scale Effective Hydraulic Properties of the Continental United States A. Tashie et al. 10.1029/2020MS002440
- Current availability and distribution of Congo Basin’s freshwater resources M. Tourian et al. 10.1038/s43247-023-00836-z
- Unique episodic groundwater recharge event in a South American sedimentary aquifer and its long‐term impact on baseflow M. Dambros Melati et al. 10.1002/hyp.14388
- A unified framework of water balance models for monthly, annual, and mean annual timescales X. Zhang et al. 10.1016/j.jhydrol.2020.125186
- Deep Learning Approaches to Spatial Downscaling of GRACE Terrestrial Water Storage Products Using EALCO Model Over Canada H. He et al. 10.1080/07038992.2021.1954498
- Influences of reservoir operation on terrestrial water storage changes detected by GRACE in the Yellow River basin J. Xie et al. 10.1016/j.jhydrol.2022.127924
- GRACE Satellites Enable Long-Lead Forecasts of Mountain Contributions to Streamflow in the Low-Flow Season X. Liu et al. 10.3390/rs13101993
- Global hydroclimatic drivers of terrestrial water storage changes in different climates X. Zhang et al. 10.1016/j.catena.2022.106598
- Characterizing hydrograph recessions from satellite-derived soil moisture S. Basso et al. 10.1016/j.scitotenv.2020.143469
Discussed (preprint)
Latest update: 26 Dec 2024
Short summary
The water stored under the surface is very important for defining the amount of water available for human and environmental applications; however, it is still a challenge to obtain such measurements. NASA's GRACE satellites provide information on total terrestrial water storage based on observations of gravity changes. Here, we relate GRACE data to streamflow measurements, providing estimations of the fraction of baseflow and total drainable storage for the Mississippi River basin.
The water stored under the surface is very important for defining the amount of water available...
