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| Type: | Resource | |
| Storage: | The size of this resource is 173.2 KB | |
| Created: | Mar 05, 2024 at 6:16 p.m. | |
| Last updated: | Apr 23, 2024 at 9:01 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 105 |
| Downloads: | 753 |
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| Comments: | 1 comment |
Abstract
This data is USGS streamflow data collected from the USGS gage 14162500 on the Mckenzie River in Oregon just east of Eugene, Oregon near Vida, OR and National Water Model forecast data. The data is listed in both cms and cfs. The data is being used in an ongoing study to develop a machine learning model to predict streamflow using National Water Model (NWM) forecasts in conjunction with USGS observed streamflow values to be able to predict streamflow and understand bias correction for NWM.
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Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| National Science Foundation | Collaborative Research: Elements: Advancing Data Science and Analytics for Water (DSAW) | OAC 1931297 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
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| Dan Ames | Brigham Young University | Utah, US |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
Jerson Jaramillo Garcia 2 months ago
Valuable information that will help scientists interested on follow-ups of your work.
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