| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Resource type: | Composite Resource | |
| Storage: | The size of this resource is 128.9 KB | |
| Created: | Sep 09, 2021 at 6:03 p.m. | |
| Last updated: | Sep 10, 2021 at 7:29 p.m.
|
|
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 453 |
| Downloads: | 44 |
| +1 Votes: | 1 other +1 this |
| Comments: | No comments (yet) |
Abstract
This resource includes two Jupyter Notebooks as a quick start tutorial for the ERA5 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_era5 package is an implementation of the Basic Model Interface (BMI https://bmi.readthedocs.io/en/latest/) for the ERA5 dataset (https://confluence.ecmwf.int/display/CKB/ERA5). This package uses the cdsapi (https://cds.climate.copernicus.eu/api-how-to) to download the ERA5 dataset and wraps the dataset with BMI for data control and query (currently support 3 dimensional ERA5 dataset). This package is not implemented for people to use and is the key element to help convert the ERA5 dataset into a data component for the PyMT modeling framework.
The pymt_era5 package is implemented for people to use as a reusable, plug-and-play ERA5 data component for the PyMT modeling framework. This package uses the BMI implementation from the bmi_era5 package and allows the ERA5 datasets to be easily coupled with other datasets or models that expose a BMI.
HydroShare users can test and run the Jupyter Notebooks (bmi_era5.ipynb, pymt_era5.ipynb) directly through the "CUAHSI JupyterHub" web app with the following steps:
- click on the "Open with" button. (on the top right corner of the page)
- select "CUAHSI JupyterHub". (Need to join the CUAHSI JupyterHub group for the first time web app user.)
- select "CSDMS Workbench" server option. (Make sure to select the right server option.)
If there is any question or suggestion about the ERA5 data component, please create a github issue at https://github.com/gantian127/bmi_era5/issues
Subject Keywords
Content
Related Resources
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| 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/
Comments
There are currently no comments
New Comment