cache
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. 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.