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Showing entries tagged [python]

MetPy Mondays #328 – Animating Skew-T and CAPE Time Series

28 April 2025

Bringing soundings to life! This week’s #MetPyMonday shows how to animate Skew-T diagrams + build a growing CAPE time series using MetPy + Siphon.

Posted by John Leeman

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MetPy Mondays #327 — Complicated Layouts with GridSpec

14 April 2025

Want a clean way to combine a Skew-T and time series in Python? This week's MetPy Monday shows how to wrangle GridSpec for a tight layout with MetPy + Siphon.

Posted by John Leeman

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MetPy Mondays #326 - Use KDTree and MetPy to Find the Nearest METAR

31 March 2025

In this week's MetPy Monday, we show you how to find the closest weather observation station to any location using a combination of: MetPy's built-in station metadata, scipy.spatial.KDTree for fast spatial search, and GeoPandas for accurate geodesic distance calculation.

Posted by John Leeman

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

17 March 2025

Keeping your weather data organized and efficient is key when working with large atmospheric datasets. In this week's MetPy Monday, we show how to build a smart sounding data cache in Python—complete with fallback data sources and automatic cleanup of old files. You'll learn to streamline your workflow by caching soundings locally, minimizing downloads, and clearing out unused data. This simple system keeps your storage tidy while making your weather data instantly accessible.

Posted by John Leeman

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MetPy Mondays #324 - Build a Custom Local Data Cache with Python

03 March 2025

Tired of downloading the same sounding data over and over? This week we show you how to build a local cache for NWS soundings using Python's Path library and Siphon! Learn how to automate your data retrieval and streamline your workflow in just a few minutes.