The Python ARM Radar Toolkit, Py-ART, is a Python module containing a collection of weather radar algorithms and utilities.

Everywhere
Joined December 2012
We have a new release (1.14.1)! New features in this release include: - 🛠️ New features, including colormaps and retrievals - 📜 New examples, including a comparison of stratiform vs. convective classification We are thankful for all the contributors who made this possible!
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The RELAMPAGO-CACTI example compares corrected and uncorrected dual-pol fields, emphasizing the importance of using quality-controlled data. We also walk through how to visualize hydrometeor classification fields! cookbooks.projectpythia.org/…
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The #ARMTRACER related example walks through how to access radar data from the @armnewsteam archive, and plot an assortment of RHIs/PPIs from the data, resulting in an animation at the end! cookbooks.projectpythia.org/…
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Replying to @Py_ART @Metpy
And @rcjackson_wx 's #ARMTRACER related post can be found here! This will be helpful when using radar data collected during cell-tracking mode, with high spatial/temporal resolution. Satellite data is also included in the plots, providing context. arm-doe.github.io/pyart/blog…
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Replying to @Py_ART @Metpy
If you are interested in the cross section functionality, check out the example in our gallery! arm-doe.github.io/pyart/exam…
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Replying to @Py_ART @matplotlib
Interested in learning more about our package? Check out our docs here arm-doe.github.io/pyart/ and watch our recent tutorial! youtu.be/aNeAtaJWA5M
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Interested in using our colormaps (including colorblind friendly options)? Make sure to check out our new Choosing a Colormap example, including the following images which showcase the options available in @Py_ART (thanks @matplotlib for making this easy) arm-doe.github.io/pyart/exam…
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And here is a view of where our sample data is coming from... the #ARMSAIL field campaign in Crested Butte, Colorado 🍂⛰️📡 @armnewsteam
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Did you know we are teaching a Python course at @MSCAR_Illinois today?! If you are interested in the workshop materials, check out our website (in collaboration with @Project_Pythia ) mgrover1.github.io/mscar-pyt… #MSCAR2022
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We also added an example showing how to retrieve the composite reflectivity, or the maximum reflectivity value across all of the elevations, as well as visualize this new field! (thanks again @DopplerChase ) arm-doe.github.io/pyart/exam…
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