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| Created: | Oct 12, 2020 at 4:05 a.m. | |
| Last updated: | Jan 27, 2022 at 2:05 a.m. | |
| DOI: | 10.4211/hs.3d4976bf6eb84dfbbe11446ab0e31a0a | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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Abstract
This notebook has been developed to download specific variables at specific sites from National Water Model (NWM) Retrospective run results in Google Cloud. It has been set up to retrieve data at SNOTEL sites. An input file SNOTEL_indices_at_NWM.csv maps from SNOTEL site identifiers to NWM X and Y indices (Xindex and Yindex). A shell script (gget.sh) uses Google utilities (gsutil) to retrieve NWM grid file results for a fixed (limited) block of time. A python function then reads a set of designated variables from a set of designated sites from NWM grid files into CSV files for further analysis.
The input file SNOTEL_indices_at_NWM.csv was generated using Garousi-Nejad and Tarboton (2022), https://www.hydroshare.org/resource/7839e3f3b4f54940bd3591b24803cacf/.
Subject Keywords
Content
README.md
Notebook for retrieval of National Water Model V2.0 Retrospective run results at SNOTEL sites
Irene Garousi-Nejad and David Tarboton
10-12-2020
This notebook has been developed to download specific variables at specific sites from National Water Model V2.0 (NWM) Retrospective run results in Google Cloud. It has been set up to retrieve data at SNOTEL sites.
- An input file SNOTEL_indices_at_NWM.csv maps from SNOTEL site identifiers to NWM X and Y indices (Xindex and Yindex)
- A shell script (gget.sh) uses Google utilities (gsutil) to retrieve NWM grid file results for a fixed (limited) block of time.
- A python function then reads a set of designated variables from a set of designated sites from NWM grid files into CSV files for further analysis
To use in Google Colab
Download the following three files to your local computer
- NWMDownload.ipynb
- gget.sh
- SNOTEL_indices_at_NWM.csv
Go to http://colab.research.google.com
Click Upload and upload NWMDownload.ipynb
In the Files area to the left upload gget.sh and SNOTEL_indices_at_NWM.csv
Run each cell in turn checking the results.
To use in CUAHSI JupyterHub
https://jupyterhub.cuahsi.org/
From HydroShare use Open With to open CUAHSI JupyterHub.
CUAHSI JupyterHub should open and files from this resource should be transferred into the downloads folder. Click on NWMDownload.ipynb to open the notebook.
Run each cell in turn checking the results.
To use in CyberGIS Jupyter for Water
https://go.illinois.edu/cybergis-jupyter-water/
From HydroShare use Open With to open CyberGIS Jupyter for Water.
CyberGIS Jupyter for Water should open and files from this resource should be transferred into the downloads folder. Click on NWMDownload.ipynb to open the notebook.
Run each cell in turn checking the results.
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 |
|---|---|---|---|
| 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 |
| Collection of resources that illustrate data processing methods and computational and modeling libraries in HydroShare and linked JupyterHub computing platforms | David Tarboton | Public & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| Utah Water Research Laboratory | Graduate Student Research Assistantship to 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.
http://creativecommons.org/licenses/by/4.0/
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