Dear All,
[Apologies for cross-posting].
I'm pleased to announce the release of the latest version of the Python
SkewT <https://pypi.python.org/pypi/SkewT> package on PyPI for analysis and
plotting of atmospheric profile data. Easy implementation of these plots is
a capability we feel has been missing from the Python for Atmospheric
Sciences community.
This package has been around for a little while and maintained as a side
project, but with the release of Matplotlib 1.4 and in particular the
showcasing of skewt plotting capabilities (see here
<http://matplotlib.org/users/whats_new.html#new-plotting-features>), we
felt it was time to update the package. It's also fully backwards
compatible with older versions of Matplotlib.
New features include calculation of CAPE and CIN for standard parcel
definitions from the NOAA Storm Prediction Centre
<http://www.spc.noaa.gov/sfctest/help/sfcoa.html>, as well as for arbitrary
parcels of your own definition.
SkewT is a collaborative project and has relied on the work of others, who
I thank for their contributions.
If you're interested in severe weather and Python, check this package out
and tell us what you think. We want to keep improving it and feedback from
the community is vital to do this properly.
--
Dr. Thomas Chubb
Postdoctoral Fellow
School of Earth, Atmosphere and Environment
Monash University, VIC 3800
Ph. +613 9902 4212
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