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metpy-cookbook

We provide a gallery of real workflows centered around meteorological data, and the building blocks you need to recreate those workflows or cook up brand new ones yourself.

https://github.com/projectpythia/metpy-cookbook

Science Score: 54.0%

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    CITATION.cff file
    Found CITATION.cff file
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    Found codemeta.json file
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    Low similarity (13.7%) to scientific vocabulary

Keywords

atmospheric-science hodograph meteorology skew-t weather weather-data
Last synced: 6 months ago · JSON representation ·

Repository

We provide a gallery of real workflows centered around meteorological data, and the building blocks you need to recreate those workflows or cook up brand new ones yourself.

Basic Info
Statistics
  • Stars: 10
  • Watchers: 1
  • Forks: 8
  • Open Issues: 2
  • Releases: 1
Topics
atmospheric-science hodograph meteorology skew-t weather weather-data
Created almost 3 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

README.md

MetPy Cookbook

NSF-Unidata Logo
MetPy Logo

nightly-build Binder DOI

This Cookbook is the oversized recipe book for all your MetPy needs. We provide a gallery of real workflows centered around meteorological data, and the building blocks you need to recreate those workflows or cook up brand new ones yourself. Create the maps and analyses you've seen from class and professional institutions alike!

Authors

MetPy Maintainers and the MetPy Community.

Contributors

Structure

The MetPy Example Gallery

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:

  1. Clone the https://github.com/ProjectPythia/metpy-cookbook repository:

bash git clone https://github.com/ProjectPythia/metpy-cookbook.git

  1. Move into the metpy-cookbook directory bash cd metpy-cookbook
  2. Create and activate your conda environment from the environment.yml file bash conda env create -f environment.yml conda activate metpy-cookbook
  3. Move into the notebooks directory and start up Jupyter Lab bash cd notebooks/ jupyter lab

Owner

  • Name: Project Pythia
  • Login: ProjectPythia
  • Kind: organization
  • Email: projectpythia@ucar.edu
  • Location: United States of America

Community learning resource for Python-based computing in the geosciences

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this cookbook, please cite it as below."
authors:
  # add additional entries for each author -- see https://github.com/citation-file-format/citation-file-format/blob/main/schema-guide.md
  - name: "Metpy Cookbook contributors" # use the 'name' field to acknowledge organizations
    website: "https://github.com/ProjectPythia/metpy-cookbook/graphs/contributors"
title: "Metpy Cookbook"
abstract: "We provide a gallery of real workflows centered around meteorological data,
  and the building blocks you need to recreate those workflows or cook up brand new ones yourself."

GitHub Events

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  • Issue comment event: 3
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Last Year
  • Watch event: 2
  • Issue comment event: 3
  • Push event: 56
  • Pull request review comment event: 2
  • Pull request review event: 2
  • Pull request event: 5
  • Create event: 2