@Metpy

Official twitter account of MetPy, a Python toolkit for meteorology. Sponsored by @Unidata and @NSF funded. Community discussions at: https://xitter.cf/t.co/61JhrIq7tL…

 GitHub
unidata.github.io/MetPy
Joined May 2015
  • Tweets1K
  • Following13
  • Followers2.6K
If you're switching over to the other site, reminder that you can continue following us over there for your MetPy news, MetPy Mondays updates, etc.:
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We have “metpy_project” on the new other site if that’s your thing:
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Or if you'd like to make some images plotting an SPC mesoscale discussion using a scalloped area (thanks to @nawendt!) (See code here: github.com/Unidata/python-tr…)
A sample MetPy image with radar, satellite, and surface observations corresponding to SPC mesoscale discussion #809.

ALT A sample MetPy image with radar, satellite, and surface observations corresponding to SPC mesoscale discussion #809.

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Here's an example parsing and plotting a WPC surface bulletin: unidata.github.io/MetPy/late…
Plot of a variety of weather fronts over the Norther Hemisphere.

ALT Plot of a variety of weather fronts over the Norther Hemisphere.

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Replying to @pk_exams @wxkylegillett @unidata @PythonMaps @pandas_dev @matplotlib
You might want to look at MetPy's StationPlot class: unidata.github.io/MetPy/late… Generally some code like this would plot barbs and text of wind speed given some arrays lons, lats, u, and v:
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In other Friday news, look what FINALLY landed on the main branch and will be in the next release: unidata.github.io/MetPy/dev/…
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Currently looks something like:
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Just look for the glowing MetPy sign
MetPy@Metpy10 Jan 2023
At #AMS2023? @dopplershift and @dcamron93 are holding @MetPy office hours at the UCAR exhibit booth (#423) this afternoon and tomorrow. Feel free to stop by to get help with, or just chat about, @MetPy and Python.
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Packed house for the MetPy’s AMS short course!
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Come stop by the @unidata table at the AMS Career Fair and grab some swag, hear about the Summer Internship, and see MetPy: The Lighted Sign (courtesy of @leemangeophys)
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Dev team currently trying to finish the next release
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Here's the code that I got to work, and what it made.
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MetPy @ametsoc Short Course next month!
"MetPy for Quantitative Analysis of Meteorological Data" Short Course through the American Meteorological Society. 22-23 March 11am-3pm EST (1600-2000 UTC). ametsoc.org/ShortCoursesMetPy

ALT "MetPy for Quantitative Analysis of Meteorological Data" Short Course through the American Meteorological Society. 22-23 March 11am-3pm EST (1600-2000 UTC). ametsoc.org/ShortCoursesMetPy

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Replying to @__jwashburn__ @WBurn @unidata
The problem in your case is that there are some NaN values (no LCL found) in your original data, and that causes the interpolation routines to put out a *big* area of NaNs. Try adding this before interpolating.
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Part of the new functionality also includes, as part of the simplified plotting interface, PlotGeometry which makes it easy to plot various geospatial layers, like SPC convective outlooks in geojson format. See here for more: gist.github.com/23ccozad/8c5…
Sample SPC Convective outlook plotted using PlotGeometry

ALT Sample SPC Convective outlook plotted using PlotGeometry

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