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This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 160.7 MB | |
| Created: | Feb 06, 2021 at 8:26 p.m. | |
| Last updated: | Jan 27, 2022 at 2:02 a.m. (Metadata update) | |
| Published date: | Jan 16, 2022 at 12:58 a.m. | |
| DOI: | 10.4211/hs.7839e3f3b4f54940bd3591b24803cacf | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 1508 |
| Downloads: | 79 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
The Jupyter Notebook shared here determines X and Y indices of the National Water Model grid cells that contain snow telemetry (SNOTEL) sites. It uses two inputs: one CSV file that includes SNOTEL site information and one NetCDF file that is a land surface model output of the NWM reanalysis results. You can open this resource with CUAHSI JupyterHub and run the notebook within the code folder. The output is a CSV file that gives X and Y indices of the National Water Model grid cells associated with each SNOTEL site.
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Related Resources
| This resource is referenced by | Garousi-Nejad, I. and Tarboton, D. (2022), "A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States", Hydrological Processes, https://doi.org/10.1002/hyp.14469 |
| Title | Owners | Sharing Status | My Permission |
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| Data for a comparison of national water model retrospective analysis snow outputs at SNOTEL sites across the Western U.S. | Irene Garousi-Nejad · David Tarboton | Published | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Utah Water Research Laboratory | Graduate Student Research Assistantship for I Garousi-Nejad | |
| National Science Foundation | Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis | OAC-1664119 |
| National Science Foundation | Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis | OAC-1664061 |
| National Science Foundation | Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis | OAC-1664018 |
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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