This Project Pythia Cookbook covers using Xarray to open and visulize on a basic map projection. The data is obtained from the THREDDS Data Server (TDS) utilizing OPeNDAP.
This cookbook will walk you through obtaining a dataset from the NCEP/DOE Reanalysis II data through the TDS utilizing the OPeNDAP. The data set will be opened with Xarray and visualized on a map.
The workflow used to open and visualize this dataset can be applied to a variety of datasets hosted on the TDS.
This cookbook is condensed into one section with links throughout to references and documentation.
You can either run the notebook using Binder or on your local machine.
The simplest way to interact with a Jupyter Notebook is through
Binder, which enables the execution of a
Jupyter Book in the cloud. The details of how this works are not
important for now. All you need to know is how to launch a Pythia
Cookbooks chapter via Binder. Simply navigate your mouse to
the top right corner of the book chapter you are viewing and click
on the rocket ship icon, (see figure below), and be sure to select
“launch Binder”. After a moment you should be presented with a
notebook that you can interact with. I.e. you’ll be able to execute
and even change the example programs. You’ll see that the code cells
have no output at first, until you execute them by pressing
{kbd}Shift+{kbd}Enter. Complete details on how to interact with
a live Jupyter notebook are described in Getting Started with
Jupyter.
If you are interested in running this material locally on your computer, you will need to follow this workflow:
-
Clone the
https://github.com/erin6541/xarray-cbrepository:git clone https://github.com/erin6541/xarray-cb.git
-
Move into the
xarray-cbdirectorycd xarray-cb -
Create and activate your conda environment from the
environment.ymlfileconda env create -f environment.yml conda activate xarray-cb
-
Move into the
notebooksdirectory and start up Jupyterlabcd notebooks/ jupyter lab