Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies
Simulating river discharge is a complex convolution depending on precipitation, runoff generation and transformation, and network attenuation. Terrestrial water storage anomalies (<i>TWSA</i>) from NASA’s Gravity Recovery and Climate Experiment (GRACE) and its follow-on mission can be us...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/18/4516 |
| _version_ | 1797577242017005568 |
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| author | Bhavya Duvvuri Edward Beighley |
| author_facet | Bhavya Duvvuri Edward Beighley |
| author_sort | Bhavya Duvvuri |
| collection | DOAJ |
| description | Simulating river discharge is a complex convolution depending on precipitation, runoff generation and transformation, and network attenuation. Terrestrial water storage anomalies (<i>TWSA</i>) from NASA’s Gravity Recovery and Climate Experiment (GRACE) and its follow-on mission can be used to estimate monthly river discharge (<i>Q</i>). Monthly discharges for the period April 2002–January 2022 are estimated at 2870 U.S. Geological Survey gauge locations (draining 1K to 3M km<sup>2</sup>) throughout the continental U.S. (CONUS) using two-parameter exponential relationships between <i>TWSA</i> and <i>Q</i>. Roughly 70% of the study sites have a model performance exceeding the expected performance of other satellite-derived discharge products. The results show how the two model parameters vary based on hydrologic characteristics (annual precipitation and range in <i>TWSA</i>) and that model performance can be affected by snow accumulation/melt, water regulation (dams/reservoirs) or GRACE signal leakage. The generally favorable model performance and our understanding of variability in model applicability and associated parameters suggest that this concept can be expanded to other regions and ungauged locations. |
| first_indexed | 2024-03-10T22:05:28Z |
| format | Article |
| id | doaj.art-75dc342c3f3248649467abcf4a3795a9 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T22:05:28Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-75dc342c3f3248649467abcf4a3795a92023-11-19T12:48:48ZengMDPI AGRemote Sensing2072-42922023-09-011518451610.3390/rs15184516Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage AnomaliesBhavya Duvvuri0Edward Beighley1Civil and Environmental Engineering, Northeastern University, Boston, MA 02115-5005, USACivil and Environmental Engineering, Northeastern University, Boston, MA 02115-5005, USASimulating river discharge is a complex convolution depending on precipitation, runoff generation and transformation, and network attenuation. Terrestrial water storage anomalies (<i>TWSA</i>) from NASA’s Gravity Recovery and Climate Experiment (GRACE) and its follow-on mission can be used to estimate monthly river discharge (<i>Q</i>). Monthly discharges for the period April 2002–January 2022 are estimated at 2870 U.S. Geological Survey gauge locations (draining 1K to 3M km<sup>2</sup>) throughout the continental U.S. (CONUS) using two-parameter exponential relationships between <i>TWSA</i> and <i>Q</i>. Roughly 70% of the study sites have a model performance exceeding the expected performance of other satellite-derived discharge products. The results show how the two model parameters vary based on hydrologic characteristics (annual precipitation and range in <i>TWSA</i>) and that model performance can be affected by snow accumulation/melt, water regulation (dams/reservoirs) or GRACE signal leakage. The generally favorable model performance and our understanding of variability in model applicability and associated parameters suggest that this concept can be expanded to other regions and ungauged locations.https://www.mdpi.com/2072-4292/15/18/4516GRACE<i>TWSA</i>signal leakagemonthly dischargeexponential relation |
| spellingShingle | Bhavya Duvvuri Edward Beighley Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies Remote Sensing GRACE <i>TWSA</i> signal leakage monthly discharge exponential relation |
| title | Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies |
| title_full | Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies |
| title_fullStr | Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies |
| title_full_unstemmed | Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies |
| title_short | Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies |
| title_sort | estimating monthly river discharges from grace grace fo terrestrial water storage anomalies |
| topic | GRACE <i>TWSA</i> signal leakage monthly discharge exponential relation |
| url | https://www.mdpi.com/2072-4292/15/18/4516 |
| work_keys_str_mv | AT bhavyaduvvuri estimatingmonthlyriverdischargesfromgracegracefoterrestrialwaterstorageanomalies AT edwardbeighley estimatingmonthlyriverdischargesfromgracegracefoterrestrialwaterstorageanomalies |