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Type: | Resource | |
Storage: | The size of this resource is 615.4 MB | |
Created: | Oct 10, 2022 at 10:09 a.m. | |
Last updated: | Jun 01, 2023 at 3:51 p.m. | |
Citation: | See how to cite this resource | |
Content types: | Single File Content |
Sharing Status: | Public |
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Views: | 783 |
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Abstract
Reservoirs are the key hydraulic infrastructure that regulates natural streamflow variability to fulfill various operation targets, including flood control, water supply, hydroelectricity generation and sustaining environmental flow. As an important anthropogenic interference in the hydrologic cycle, reservoir operation behavior remains challenging to be properly represented in hydrologic models, thus limiting the capability of predicting streamflow under the interactions between hydrologic variability and operational preferences. Data-driven models provide a promising approach to capture relationships embedded in historical records. This dataset contains historical daily operations of over 300 major reservoirs across the Contiguous United States with a wide range of streamflow conditions, including inflow, release, storage, elevation, etc. The eastern reservoir data is collected by Duke University (https://nicholasinstitute.duke.edu/reservoir-data/, Patterson et al., 2018. The western reservoir data is accessed via the United States Bureau of Reclamation (https://water.usbr.gov/api/web/app.php/api/)
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Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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Oak Ridge Associated Universities | Ralph E. Powe Junior Faculty Enhancement Awards | |
National Science Foundation | CAREER Award | 2239621 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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