Welcome to the MetPy tutorials! These tutorials are designed to help you get started with using MetPy for meteorological data analysis and visualization. Whether you're a beginner looking to explore the basics or an experienced user seeking advanced techniques, these tutorials will guide you through various aspects of MetPy.
The purpose of these tutorials is to provide hands-on examples and explanations to help you learn how to use MetPy effectively for your meteorological data analysis tasks. Each tutorial focuses on a specific aspect of MetPy, gradually building your understanding and skills as you progress through them.
If this is your first time using MetPy head over to the installation guide to make sure the required dependencies have been installed.
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Area Tutorial: Learn how to use predefined areas with MetPy.
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Declarative Tutorial: MetPy's declarative syntax simplifies data exploration and analysis by streamlining plotting in Python, hiding complexity to make data investigation more accessible.
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Unit Tutorial: Learn how to work with units within Metpy!
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Upper Air Soundings: Upper air analysis is a staple of many synoptic and mesoscale analysis problems. In this tutorial we will gather weather balloon data, plot it, perform a series of thermodynamic calculations, and summarize the results.
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xarray with MetPy Tutorial: This tutorial demonstrates how to work with xarray, a powerful Python package for labeled arrays and datasets. MetPy seamlessly integrates with xarray's data model, offering convenient methods and properties for coordinate, coordinate reference system, and unit operations.
- Advanced Tutorials Coming Soon
The Examples Gallery has more examples of what else you can create with MetPy!
We welcome contributions to these tutorials! If you have any suggestions for improvements or would like to add new tutorials feel free to submit an issue or make a pull request. More information on how to contribute can be found by checking out the Contributors Guide