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Surface Flux Analysis Cookbook

nightly-build Binder

This Surface Flux Analysis Cookbook covers working with Atmospheric Radiation Measurement (ARM) eddy covariance surface flux analysis datasets.

Motivation

The Atmospheric Radiation Measurement (ARM) user facility has a significant data record of surface flux (momentum, sensible and latent heat, and CO2) data available at multiple locations around the Southern Great Plains (SGP) observatory. This project will explore long-term data analysis of the fluxes and break down the flux statistics by vegetation type. Students will gain experience with Python, surface flux data, ARM, and open-source software.

Authors

Joe O'Brien, Second Author, etc. Acknowledge primary content authors here

Contributors

Structure

(State one or more sections that will comprise the notebook. E.g., This cookbook is broken up into two main sections - "Foundations" and "Example Workflows." Then, describe each section below.)

Section 1 ( Replace with the title of this section, e.g. "Foundations" )

(Add content for this section, e.g., "The foundational content includes ... ")

Section 2 ( Replace with the title of this section, e.g. "Example workflows" )

(Add content for this section, e.g., "Example workflows include ... ")

Running the Notebooks

You can either run the notebook using Binder or on your local machine.

Running on Binder

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.

Running on Your Own Machine

If you are interested in running this material locally on your computer, you will need to follow this workflow:

(Replace "cookbook-example" with the title of your cookbooks)

  1. Clone the https://github.com/EVS-ATMOS/surface-flux-analysis/ repository:

     git clone https://github.com/EVS-ATMOS/surface-flux-analysis.git

  2. Move into the cookbook-example directory

    cd cookbook-example

  3. Create and activate your conda environment from the environment.yml file

    conda env create -f environment.yml
conda activate surface-flux-analysis-dev

  4. Move into the notebooks directory and start up Jupyterlab

    cd notebooks/
jupyter lab