MetPy 0.12.0 has been released with several features and fixes, including METAR decoding and mixed-layer CAPE calculation. This is the first release that only supports Python 3.
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08 January 2020
MetPy 0.12.0 has been released with several features and fixes, including METAR decoding and mixed-layer CAPE calculation. This is the first release that only supports Python 3.
[Read More]MetPy Project Brings GEMPAK Features to Python
14 November 2019
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and analysis graphics for the National Weather Service's National Centers for Environmental Prediction, GEMPAK has been superseded by more modern software in operational settings, and has not been actively developed by the Weather Service since 2008.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.
[Read More]18 October 2019
MetPy 0.11.1 has been released with several bugfixes for 0.11.0, including fixes for compatibility with XArray v0.14.
[Read More]30 September 2019
MetPy 0.11.0 has been released, with many fixes and new features. This is the last release that will support Python 2.7.
[Read More]Python-Focused Software Training Workshop at Valparaiso University
09 July 2019
Valparaiso University in Valparaiso, Indiana will be hosting a Unidata Regional Software Training Workshop August 12-13, 2019. Unidata software developers will be leading the two-day Python-focused workshop, which will cover the use of the MetPy and Siphon packages in the context of atmospheric science. A basic familiarity with Python is assumed — check out the Unidata Online Python Training site for a refresher.
Unidata holds regional workshops in part to facilitate easy access to software training for those who may not be able to travel to training workshops held at the Unidata Program Center in Boulder, Colorado. Attendance is explicitly not limited to Valparaiso students and staff; we encourage those within easy travel distance to consider attending.
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