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 | Aug 20, 2026 | Terrier
This summer, three college students set out to answer the same question: How can AI help build better weather applications? During their internships at Wet Dog Weather, Alicia Skiver-Palmer, Lex Hudson, and Antonio McElfresh each developed unique AI weather...
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...
