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Notebooks for visualizations reported at A Comparison of National Water Model Retrospective Analysis Snow Outputs at SNOTEL sites across the Western U.S.
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Type: | Resource | |
Storage: | The size of this resource is 1.2 GB | |
Created: | Feb 06, 2021 at 2:19 a.m. | |
Last updated: | Jul 09, 2022 at 7:42 p.m. | |
DOI: | 10.4211/hs.8507aa41130e45bfb0752026cf2253ab | |
Citation: | See how to cite this resource |
Sharing Status: | Published |
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Views: | 1175 |
Downloads: | 15 |
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Abstract
This resource contains Jupyter Notebooks used to create Figures of Garousi-Nejad, I. and D. G. Tarboton, (2022), "A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States," Hydrological Processes, 36(1): e14469, https://doi.org/10.1002/hyp.14469.
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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-1664061 |
National Science Foundation | Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis | OAC-1664018 |
National Science Foundation | Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis | OAC-1664119 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
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