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.
