Wind roses are a powerful tool for visualizing wind patterns, but what if you could overlay them on real-world maps for better geographic context? In this week's MetPy Monday, we take wind data analysis to the next level by plotting wind roses on OpenStreetMap layers using CartoPy. By integrating Python’s windrose package with CartoPy image tiles, we create a geospatial visualization that combines meteorology and mapping.
In this tutorial, you’ll learn how to extract wind speed and direction data, generate wind rose plots, and overlay them onto OpenStreetMap using customized map layers. Whether you're working in meteorology, environmental analysis, or GIS, this approach provides deeper insight into regional wind patterns. Watch the full video to see how Python can help you bridge the gap between weather data and spatial analysis!
