https://github.com/spencerkclark/nodd-notebook
https://github.com/spencerkclark/nodd-notebook
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/spencerkclark/nodd-notebook
- Owner: spencerkclark
- Created: 2024-01-16T13:19:30.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-18T19:53:53.000Z (over 1 year ago)
- Last Synced: 2025-01-23T18:28:14.919Z (4 months ago)
- Language: Jupyter Notebook
- Size: 7.37 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Interactively plotting 1/32° resolution precipitation data from X-SHiELD
This repository includes notebooks that illustrate how we can plot regridded
precipitation data from X-SHiELD, hosted on Google Cloud through the [NOAA Open
Data Dissemination (NODD)
Program](https://www.noaa.gov/information-technology/open-data-dissemination),
without downloading a copy of the data locally.
## Running in `binder`
[`binder`](https://mybinder.org) offers a way of freely running Jupyter
notebooks in the cloud with a custom Python environment. We have set this up
for this repository. You can use it to run the interactive visualization
notebook; however, you will find that it runs relatively slowly. You will
likely find running it locally will produce a faster response.
[](https://mybinder.org/v2/gh/spencerkclark/NODD-notebook.git/HEAD?labpath=interactive-plot.ipynb)
## Running locally
To run the interactive visualization notebook locally, first clone the
repository and install the needed Python dependencies:
```
$ git clone https://github.com/spencerkclark/NODD-notebook.git
$ cd NODD-notebook
$ conda env create --file environment.yml --name 2024-01-16-NODD-notebook
$ conda activate 2024-01-16-NODD-notebook
```
Then start a Jupyterlab server:
```
$ jupyter lab
```
and open the `interactive-plot.ipynb` notebook.