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Learn AWIPS CAVE for version 20.3.2-1

by Nicole Corbin -

Learn AWIPS CAVE has been updated for version 20.3.2-1! If you are already enrolled in this course, your progress is still saved. Completions are also still recorded. 

There are several new features in AWIPS 20.3.2.-1 and a few changes to the interface. To get the best experience working through Learn AWIPS CAVE, make sure you install the latest version of CAVE.

Happy learning!

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Available courses

eLearning Module

In this module, you will discover how machine learning is used by scientists, the process for supervised machine learning model development, how data plays a crucial role in making good predictions, and how to be an effective and ethical user of machine learning tools. No coding experience is required. 

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In this module, learners will be introduced to the THREDDS Data Server and Siphon data access architecture and practice making a request for remote data in Python. 

This module is recommended for new users of Siphon and the THREDDS Data Server. 


In this module, learners will review the multidimensional nature of Earth Systems Science data, explore the hierarchical nature of multidimensional data structures, and search for critical metadata within these structures. 

This module is recommended for new users of netCDF data. 

eLearning Course

The Advanced Weather Interactive Processing System (AWIPS) is a meteorological software package used for decoding, displaying, and analyzing data. In this course, you will learn the fundamentals of working with the desktop client, AWIPS CAVE, through demonstrations, tutorials, activities, assessments, and challenges. Sections should be completed in sequence but may be completed over multiple sessions. 

eLearning Module

The python-awips package provides a data access framework for requesting meteorological and geographic datasets from a EDEX server. Python-AWIPS expands the visualization and analysis options of AWIPS CAVE by bringing resources into Python, enabling the use of popular scientific tools such as SciPy, MetPy, and Cartopy. This course will introduce you to the basic concepts of working with this package to access, manipulate, and plot resources.