Do you love to write code or teach others about data-centered Earth Systems Science? Interested in the interplay of science and data? The NSF Unidata Summer Internship program is looking for you! Apply by February 6, 2026 to work with us next summer: buff.ly/5nsLdRu

The 2nd Edition of my textbook is now available! Biggest updates are in figure quality, including soundings based on SounderPy output thanks to @wxkylegillett.bsky.social making it freely available! shop.elsevier.com/books/synopt... www.amazon.com/Synoptic-Ana...

We’ll have a 1.7.1 bug fix release before 1 Sep 2025 that will update the MetPy NEXRAD clients.

✨There’s still time to share your voice in the 2025 NSF Unidata Community Survey, closing June 20!✨ Help shape how we support the Earth sciences community. The survey should take no more than 15 minutes, and will really help us understand your needs. 🔗 Survey: arcg.is/zLOSW #PoweredByUnidata

We at NSF Unidata are pleased to announce that we have now received funding from the National Science Foundation (NSF) for the next year of our five-year award. This allows us to end the current furlough of our staff and resume our operations. buff.ly/GafcZts

✨Calling on our community: your feedback fuels our future✨ The 2025 Unidata Community Survey is still accepting responses. By sharing your experience and ideas, you help us return better prepared to serve the Earth systems science community. 🔗 Take the Survey: arcg.is/zLOSW #PoweredByUnidata

Due to the current gap in funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program is pausing most operations effective 12 May 2025. Nearly all staff will be furloughed until funds from our existing NSF grant become available. For more information, see buff.ly/d2TC1Oy

MetPy 1.7.0 is out! Highlights include saturation vapor pressure (including over ice) and LCL calculations, automated high/low identification, and clients for accessing S3 archives of NEXRAD L2/L3, GOES, and ML weather prediction output (from NOAA/CIRA), and more! github.com/Unidata/MetP...

✨The 2025 NSF Unidata Community Survey is now live! ✨ Share your insights, support community progress. Take 15 minutes to complete the survey, and as a thank you, you'll have the chance to enter a drawing for an NSF Unidata swag bag. 🔗 arcg.is/zLOSW #PoweredByUnidata

Want a clean way to combine a Skew-T and time series in Python? This week’s #MetPyMonday shows how to wrangle GridSpec for a tight layout with MetPy + Siphon. youtu.be/fzEJvnaXYJw?...

The 2025 NSF Unidata Community Survey is coming next week! By participating in the survey, you'll also have the chance to enter a drawing for a NSF Unidata swag bag! 📬 Watch your inbox or visit us here for the link once it goes live. #PoweredByUnidata

If you've been looking for a quick way to make some GOES composites (e.g. geocolor, airmass), here's a notebook showing how to do it using SatPy and AWS S3 data (optionally a little bit of the next @metpy.bsky.social release). gist.github.com/dopplershift...

Need to know which METAR station is closest to your point of interest? Checkout this week's #metpymonday We show you how to: ✅ Build a clean station list from MetPy ✅ Find the nearest station using KDTree ✅ Find distance with GeoPandas #Python youtu.be/nMTFb-8e1Nk?...

Made a new Gridded RH Observations graphics function for the next update in FireWxPy. We use the different interpolation methods found in @metpy.bsky.social's interpolate_to_grid() function. I set the default interpolation_method='cressman'. #python #dataviz #weather

NSF Unidata is looking for creative people to help set the priorities and direction for our program. We need insights, ideas, and a better understanding of the science data challenges you're facing. Nominate someone (yourself?) to help us serve our community! www.unidata.ucar.edu/blogs/news/e...

Tired of downloading the same data over and over? In our latest #MetPyMonday, we show you how to build a local cache for NWS soundings! Learn how to automate your data retrieval and streamline your workflow in just a few minutes. youtu.be/Pl47QBjPlu4?...

🌍 New #MetPyMonday! 🚀 This week, we’re mapping wind roses on OpenStreetMap using CartoPy! 📊🌬️ ✅ Extract & plot wind data ✅ Overlay wind roses on real-world maps ✅ Customize map layers for meteorology & GIS Watch now! 🎥 www.youtube.com/watch?v=neZt...

Deadline is in 2 days!

Discover how to animate GOES satellite imagery of Hurricane Helene using Python's powerful libraries! In this MetPy Monday episode, we dive into the goes2go library to fetch GOES-16 ABI data and create stunning animations with Matplotlib’s FuncAnimation! www.youtube.com/watch?v=lxl1...

Now we are bringing in the ensembles & as a reminder to folks why @metpy.bsky.social is a powerful tool since vorticity isn't a field in the ensembles like it is in the deterministic models. However, we can use metpy.calc to calculate vorticity from the u & v wind components in the ensemble field.

Ever struggled to decode GRIB files with xarray+cfgrib/eccodes that have parameters it doesn't understand? This notebook should help you make the process a bit easier: gist.github.com/dopplershift...

In this MetPy Mondays episode, learn how to make your plots smarter by setting units as Matplotlib axis properties! Stop manually converting your data and let Python handle it for you. #metpymonday www.youtube.com/watch?v=TT1p...

Come spend a summer working on MetPy!

Siphon v0.10.0 has been released, with a lot of fixes to work with current versions of things like xarray, numpy, and protobuf, and support for Python 3.10-3.13. It also has bug fixes for things like Hyrax catalogs and Wyoming upper air archive access. Full release notes: github.com/Unidata/siph...

Learn how to customize SkewT diagrams based on a recent question on GitHub! #Metpymonday #Meteorology #PythonForWeather #AtmosphericScience #DataVisualization youtu.be/3iPujH33WsI

Do you use scientific python in the atmospheric sciences? Interested in adding machine learning workflows to the mix, or improving what you're doing? Check out the "MetPy and Machine Learning" short course at AMS in New Orleans: www.ametsoc.org/index.cfm/am...

I was procrastinating working on paper revisions last night, and I binged like 20 @metpy.bsky.social Monday. There are >200 episodes going back >5 years. Lots of meteorology like drawing fronts & Q-vectors, but also general explainers. I finally learned the difference between imshow and pcolormesh.

I strongly recommend to any professors who teach Computer Applications in Meteorology to show MetPy to the students. The way to get more meteorology students interested in Python is to show them how to make cool weather maps via data analysis so students can see how Python relates to meteorology.

I started casually teaching myself Python Programming in March 2022, then began seriously/religiously teaching myself Python Programming in June 2023. I recommend starting with the Metpy Mondays series on YouTube. That's where I started to learn! @metpy.bsky.social youtube.com/playlist?lis...

In this episode of MetPy Mondays, we dive into Mesoscale Convective Systems (MCS) and demonstrate how to calculate storm motion using the Corfidi vector method. We'll walk you through a real-world case study! youtu.be/J-YHCcbCBD0?...

Start with the MetPy Mondays playlist on youtube. I give them the credit for my early-on learning. @metpy.bsky.social

If you've ever wondered if those trig identities from school are really useful in "real life", here's a just-merged PR that fixes up some NaN issues in our frontogenesis calculation by using one of those identities to eliminate arcsin() (and associated numerical problems): github.com/Unidata/MetP...

🚀 New #MetPyMonday video alert! 🌍⏰ Learn how to handle time zones in #Python using zoneinfo! We cover timezone conversions, daylight savings, and essential tricks to keep your datetime data accurate—no pytz needed! Watch now! #PythonTips #DataScience youtu.be/kCY_-mnk60U?...

Have you used MetPy? We'd love for you to take our 2024 User Survey. It should only take 5-10 minutes and is really important: results are used in our reports to NSF and guide our overall roadmap. Feel free to share with others who might miss it. forms.gle/95PkxA3FuMMd...

MetPy 1.6.2 is out with a few fixes for the 1.6 series, including GEMPAK reader performance improvements, more robust coordinate detection (fixes issue with ERA5), and recognizing dBz as a unit. Full release notes: github.com/Unidata/MetP...

MetPy 1.6.1 has been released to fix a couple of regressions in 1.6.0, namely unit issues in cross_section and problems with PlotGeometry. github.com/Unidata/MetP...

Come spend a summer working on @MetPy!

Will you be at #AMS2024? Not sure where to begin on your next forecast or research project in Python? Come build multiple weather data workflows using MetPy! buff.ly/3S84aWT Register or update your registration by 1/26!

MetPy 1.6.0 is here with new user-contributed calcs (wet bulb potential temperature, DCAPE, Galvez-Davison Index, and Corfidi MCS motion) plus better support using arbitrary data (e.g. WRF) with isentropic interpolation, among other improvements. github.com/Unidata/MetP...

Stop ignoring errors and learn the basics of error handling in this week’s MetPy Monday! www.youtube.com/watch?v=fYCr...

MetPy now has an official BlueSky account! Follow us here for announcements (releases, surveys, talks, etc.) as well as showcases of the community using MetPy and occasional previews of upcoming features.