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MetPy Mondays #325 - Adding Fallback Data and Cleanup to a Local Data Cache with Python

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Mar 18, 2025
14:42

✨The 2025 NSF Unidata Community Survey is now live! ✨ We need your input to better understand the top priorities and challenges of the Earth Systems Science community. Please take 15 minutes to share your insights and help us tailor resources like MetPy Mondays to meet your needs. Take the Survey: https://arcg.is/zLOSW As a thank you, you'll have the chance to enter a drawing for one of 10 NSF Unidata swag bags, including an NSF Unidata lunchbox, hat, cup, pens, and more. --- In this MetPy Monday, we level up our sounding data caching system! Learn how to build a robust local cache for weather soundings using Python's Path library. This tutorial covers: ✅ Dual-source data retrieval (Wyoming + Iowa State fallback) ✅ Intelligent daily cache cleanup ✅ Automatic removal of unused / stale files ✅ Saving soundings in a structured archive for fast re-use Perfect for meteorologists, data scientists, or anyone tired of repeatedly downloading the same data. ------------------------------------------------------------------------------- Contact / Info: MetPy Docs: https://unidata.github.io/MetPy/ GitHub: https://github.com/unidata/metpy/ Python Mailing List: https://www.unidata.ucar.edu/support/ Gitter: https://gitter.im/Unidata/MetPy Twitter (@MetPy): https://twitter.com/MetPy Twitter( @unidata): https://twitter.com/unidata Facebook: https://facebook.com/Unidata Music: https://www.bensound.com

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MetPy Mondays #325 - Adding Fallback Data and Cleanup to a Local Data Cache with Python | NatokHD