by Daphne Thompson | Sep 3, 2026 | Data
During the summer of 2026, three meteorology students spent nearly three months building weather applications with AI. One developed a storm chasing dashboard packed with professional forecasting tools. Another created a fishing forecast application designed around...
by Daphne Thompson | Jul 30, 2026 | Data
Weather data is everywhere, but during severe weather, it’s often scattered across multiple websites and applications. That’s the problem Mississippi State University graduate student Alicia Skiver-Palmer set out to solve this summer by building an AI...
by Daphne Thompson | Jul 23, 2026 | Data
When most people check the weather before going fishing, they’re looking for a simple forecast. Lex Hudson wanted to go a step further. The Central Michigan University meteorology student is spending the summer developing FishCast. This AI fishing weather app...
by Daphne Thompson | Jul 16, 2026 | Data
This summer, Wet Dog Weather interns are tackling a unique challenge: building a weather application using AI and real weather data. Antonio McElfresh, a meteorology student at the University of Oklahoma, chose to combine two of his biggest interests, aviation and...
by David Crowe | May 21, 2026 | Data
Recently, we published a blog post to explain global weather patterns. We covered Eulerian and Lagrangian frames, advection, circulation cells, and the jet stream. Now is the time to unpack arguably the most famous teleconnection of all: the El Niño weather pattern....
by David Crowe | May 14, 2026 | Data
The atmosphere is a chaotic place shaped by constantly shifting energy, motion, and global weather patterns that influence conditions across the planet. Meteorologist Lewis Fry Richardson once summed it up this way: “Big whirls have little whirls,That feed on their...
