Showing entries tagged [metpy]

Postponed: Python-Focused Software Training Workshop at the University of Alaska, Fairbanks

University of Alaska, Fairbanks

The Python-focused Unidata Regional Software Training Workshop scheduled for April 22-23, 2020 at the University of Alaska, Fairbanks has been postponed due to UCAR COVID-19 travel restrictions.

A new date for the workshop will be determined in the near future. Please stay tuned.

Python-Focused Software Training Workshop at the University of Alaska, Fairbanks

University of Alaska, Fairbanks

The University of Alaska, Fairbanks will be hosting a Unidata Regional Software Training Workshop April 22-23, 2020. 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 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 local students and staff; we encourage those within the state of Alaska to consider attending. Financial support is available for those that must travel from outside Fairbanks.

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MetPy 0.12.0 Released

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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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and analysis graphics for the National Weather Service’s National Centers for Environmental Prediction, GEMPAK has been superseded by more modern software in operational settings, and has not been actively developed by the Weather Service since 2008.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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News@Unidata
News and information from the Unidata Program Center

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