MetPy 1.4.0 is out, with full projection/spherical-aware spatial derivatives (for e.g. vorticity), simplified interface arrow and raster plots, and community-submitted SWEAT index, CCL, and convective temp calculations. Plus many bug fixes. Happy Holidays!
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Official twitter account of MetPy, a Python toolkit for meteorology. Sponsored by and funded. Community discussions at: github.com/Unidata/MetPy/…
MetPy’s Tweets
Ok, we finally have a RTMA in Brazil. Webscraping the data was pain but also a good way to learn new things. Plotting was way easier thanks to . Now I just need to do some tunning to the script.
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This week learn how to make a point data request with NCSS.
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We calculate vorticity on a sphere and add it onto our declarative plot of GFS data in this week's #MetPyMonday!
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This week we put together getting real time data with Siphon, declarative plotting, and more to start building a full analysis pipeline!
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We’re holding our first community call next week, Thursday January 19th at 1pm MST (UTC-7). Come hear what’s going on, share your successes and challenges, and learn some first steps towards contributing to and its community. For details see:
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We wanted to remind students that the application deadline for Unidata's 2023 Summer Internship program is January 19. We've enjoyed chatting with you at #ams2023 and are looking forward to seeing your applications! buff.ly/3PPRFNV
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At #AMS2023? and are holding 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, and Python.
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This week we understand and demonstrate the difference between the LCL and CCL using MetPy.
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We’re holding our first community call next week, Thursday January 19th at 1pm MST (UTC-7). Come hear what’s going on, share your successes and challenges, and learn some first steps towards contributing to and its community. For details see:
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Come stop by the table at the AMS Career Fair and grab some swag, hear about the Summer Internship, and see MetPy: The Lighted Sign (courtesy of )
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SWEAT index is a way to determine the potential of moisture, instability, wind, and warm air advection to create severe storms and tornadoes. This week learn how to easily calculate it with MetPy!
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Arrow plots are a great way to show vector quantities and this week we show you how to make an arrow plot the easy way with MetPy's declarative plotting syntax. #MetPyMonday
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Since I'm staying home due to the winter storm, what better way to spend the day than to use to plot the GEFS mean MSLP and H5 heights evolution of our latest system from day 10-day 0! Valid time is 12z this morning. Next is the deterministic GFS.
GIF
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XArray lets you do powerful group by operations like Pandas, but with even more capability! This week we look at how to use groupby_bins to create a chart of mean temperature with latitude and height in the atmosphere!
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Sometimes we need the magnetic declination at a location to correct wind observations to true North. This week we'll look at a quick and simple Python library to do exactly that! #MetPyMonday
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Pandas DataFrames serve us well in many applications, but for data with multiple coordinates or many attributes XArray may be a better fit. This week we see how to convert a DataFrame of upper air data into a dataset. #metpymonday
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Conda is great, but it can be a space hog. Find out how to free up lots of precious hard drive room with a simple command! #metpymonday
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Learn how to use virtual environments and how they stack up to Conda in this week's #MetPyMonday
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XArray is very powerful, but there's a lot of terminology to get through getting started. This week we deep dive on dimensions vs coordinates. #MetPyMonday
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We wrote an article about MetPy for the Bulletin of the American Meteorological Society: doi.org/10.1175/BAMS-D If you wanted to know more about MetPy or wanted a publication to cite, this is for you!
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If you'd like to build a new environment and collect your free Python 3.11 speed boost, you can run with conda or mamba (assuming you have the conda-forge channel configured):
conda create -n metpy-311 python=3.11 metpy
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FWIW, MetPy's test suite is taking about 10% less time to run on Python 3.11 vs. 3.10.
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Unidata staff members and teaching Day 1 of “Python for Atmospheric Science: Exploratory Data Analysis” workshop at CSU (Not shown: and Nicole Corbin)
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We have released a version of Py-ART!! Version 1.13.3! This includes
- 🪲 Bug fixes for default labels, and titles in the example gallery
- 📈 New gridded radar cross section functionality (thanks to )
- 📜 A new blog post from looking at data from #ARMTRACER
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Unidata is ramping up its efforts to help Earth System Science researchers, educators, and students learn about and take advantage of machine learning techniques. Your responses to a very short survey will help guide our efforts. Thanks for your help! buff.ly/3TuYEg9
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The Q-vector is a great tool for dynamic analysis, but did you know MetPy can calculate it with ease? This week we calculate it using real data.
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The official Python Developers Survey 2022 is in full swing. Join now! 🎉
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The last release of MetPy that supported Python 3.7 was 1.2.0, so you also need to update your Python version to continue getting all of the new shiny MetPy goodness.
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Heads up that conda-forge plans to drop Python 3.7 support soon after 3.11 comes out (should be Monday). The old packages will remain, but you'll need to update to a new Python version to continue getting updates for e.g. numpy, scipy, matplotlib, pandas. conda-forge.org/docs/user/anno
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This week we contour our gridded Mesonet observations and then calculate a gradient. #MetPyMonday
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Learn how to merge a location and surface observation dataset, then grid them to get ready to do some calculations. #MetPyMonday
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Let's see how MetPy and Python can help us understand the Plank Function!
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