Blog

We’re now processing the EUMETNET OPERA composite, making pan-European radar reflectivity available alongside the North American radar products we already offer. But combining radar data from more than 30 countries and over 160 radars comes with some unique challenges. In this post, we look at what those challenges look like, how they compare with MRMS, and how we’re working with the data in Boxer and Terrier.

We’ve begun testing a new European weather radar composite to expand our international data offerings. While the data is reliable, quality control presents some interesting challenges compared to the U.S. MRMS mosaic. Here’s what we’ve learned so far, and where we may take it next.

During the summer of 2026, three meteorology students used AI to build weather applications for storm chasing, fishing, and aviation. Their experience revealed an important lesson: AI-generated code can accelerate software development, but domain expertise is still essential for validating results, solving complex problems, and building tools people can trust.