MetPy Project Brings GEMPAK Features to Python

Hurricane Florence

For more than 30 years, meteorology students, researchers, and operational practitioners have used the GEMPAK (GEneral Meteorology PAcKage) software package for data analysis and visualization of a diverse set of atmospheric science datasets. Initially developed in the late 1980s to produce forecast and analysis graphics for the National Weather Service’s National Centers for Environmental Prediction, GEMPAK has been superseded by more modern software in operational settings, and has not been actively developed by the Weather Service since 2008. Within the education and research community, however, GEMPAK’s potent combination of powerful analysis and visualization tools, ease of use, and low cost (it’s free) has led to its continued use, despite its age.

Unidata’s MetPy project aims to help the academic community modernize its software toolset by bringing the best features of GEMPAK into the burgeoning world of scientific Python.

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MetPy 0.11.1 Released

MetPy 0.11.1 has been released with several bugfixes for 0.11.0, including fixes for compatibility with XArray v0.14.

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MetPy 0.11.0 Released

MetPy 0.11.0 has been released, with many fixes and new features. This is the last release that will support Python 2.7.

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MetPy 0.10.0 Released

MetPy 0.10.0 has been released. New features of the 0.10 series include simplified plotting, unit support in xarray selection, and updates for several calculations. For full release notes see the GitHub Release Page.

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Successful Python-Focused Software Training Workshop at Jackson State University

JSU Workshop

A Python-focused Unidata Software Training Workshop took place August 30-31, 2018, at Jackson State University. The workshop was sponsored by the Department of Chemistry, Physics, and Atmospheric Sciences (CPAS), and organized by Drs. Remata S. Reddy and the author, in collaboration with Unidata Program Center Staff. Topics covered included the use of Unidata's MetPy and Siphon packages, focusing on atmospheric science applications such as: Upper air data analysis and the Skew-T, making maps with Cartopy, working with surface data analysis, model data, satellite data, time series analysis and more.

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News and information from the Unidata Program Center
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News and information from the Unidata Program Center

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