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Type: | Resource | |
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Created: | Apr 01, 2021 at 3:10 a.m. | |
Last updated: | Jun 21, 2023 at 9:48 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 1225 |
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Abstract
This resource includes two Jupyter Notebooks as a quick start tutorial for the NWIS Data Component of the PyMT modeling framework (https://pymt.readthedocs.io/) developed by Community Surface Dynamics Modeling System (CSDMS https://csdms.colorado.edu/)
The bmi_nwis package is an implementation of the Basic Model Interface (BMI https://bmi.readthedocs.io/en/latest/) for the USGS NWIS dataset (https://waterdata.usgs.gov/nwis) This package uses the dataretrieval package (https://github.com/USGS-python/dataretrieval) to download the NWIS dataset and wraps the dataset with BMI for data control and query. This package is not implemented for people to use but is the key element to convert the NWIS dataset into a data component for the PyMT modeling framework.
The pymt_nwis package is implemented for people to use as a reusable, plug-and-play NWIS data component for the PyMT modeling framework. This package uses the BMI implementation from the bmi_nwis package and allows the NWIS datasets to be easily coupled with other datasets or models that expose a BMI.
HydroShare users can test and run the Jupyter Notebooks (bmi_nwis.ipynb, pymt_nwis.ipynb) directly through the "CUAHSI JupyterHub" web app with the following steps:
- For the new user of the CUAHSI JupyterHub, please first make a request to join the "CUAHSI Could Computing Group" (https://www.hydroshare.org/group/156) After approval, the user will gain access to launch the CUAHSI JupyterHub.
- Click on the "Open with" button. (on the top right corner of the page)
- Select "CUAHSI JupyterHub".
- Select "CSDMS Workbench" server option. (Make sure to select the right server option. Otherwise, the notebook won't run correctly.)
If there is any question or suggestion about the NWIS data component, please create a github issue at https://github.com/gantian127/bmi_nwis/issues
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Title | Owners | Sharing Status | My Permission |
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PyMT model and data components example | Tian Gan | Public & Shareable | Open Access |
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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