Blog

We are Wet Dog Weather, a Software as a Service (SaaS) company that specializes in enterprise-level solutions for weather & sensor data dissemination and visualization.

European Radar Data and the Challenge of Quality Control

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.

European Weather Radar Now Available

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.

The Truth About AI-Generated Code Isn’t What You Think

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.

Understanding AI Capabilities

Week 7: Managing Time and Expectations Week 6: Specificity Is Key Week 5: Overcoming Setup Challenges Week 4: Start With The Big Picture Week 3: Designing Around User Needs Week 2: Seeking Advice Leads to Success Week 1: Staying Productive Through Roadblocks Goal Do...

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Good Documentation Pays Off

Week 7: Wrapping Up the Pilot Experience Week 6: One Task at a Time Week 5: Building on a Strong Foundation Week 4: Choosing a Clear Direction Week 3: Designing for Different Users Week 2: Organization Improves AI Results Week 1: The Importance of Staying Organized...

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Simple Solutions Work Better

Week 7: Understanding the Data Behind the Display Week 6: Building Without Breaking Week 5: Correct Integration Saves Time Week 4: Data Integration Is More Complex Than It Looks Week 3: Turning Data Into Decisions Week 2: Making Data Actionable Week 1: Building...

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Meet the Intern Building an AI Fishing Weather App

Meet the Intern Building an AI Fishing Weather App

What makes fishing conditions ideal? That’s the question Central Michigan University meteorology student Lex Hudson set out to answer this summer. By combining AI with Wet Dog Weather data, she’s building FishCast. This AI fishing weather app helps anglers understand how changing weather conditions influence fishing success while learning valuable lessons about software development, weather data, and AI along the way.

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Managing Time and Expectations

Previous Posts Week 6: Specificity Is Key Week 5: Overcoming Setup Challenges Week 4: Start With The Big Picture Week 3: Designing Around User Needs Week 2: Seeking Advice Leads to Success Week 1: Staying Productive Through Roadblocks Goal Get reflectivity from...

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Wrapping Up the Pilot Experience

Previous Posts Week 6: One Task at a Time Week 5: Building on a Strong Foundation Week 4: Choosing a Clear Direction Week 3: Designing for Different Users Week 2: Organization Improves AI Results Week 1: The Importance of Staying Organized Goal Finalize pilot version...

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Understanding the Data Behind the Display

Previous Posts Week 6: Building Without Breaking Week 5: Correct Integration Saves Time Week 4: Data Integration Is More Complex Than It Looks Week 3: Turning Data Into Decisions Week 2: Making Data Actionable Week 1: Building Knowledge Before Making Changes GoalMy...

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Meet the Intern Building an AI Aviation Weather App

Meet the Intern Building an AI Aviation Weather App

Antonio McElfresh, a meteorology student at the University of Oklahoma, is spending the summer building RuffRide, an AI aviation weather app designed to help pilots better understand turbulence. Learn how he’s combining AI, weather data, and his passion for aviation to create a new weather application while documenting the journey in our AI Journal.

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Building Without Breaking

Previous Posts Week 5: Correct Integration Saves Time Week 4: Data Integration Is More Complex Than It Looks Week 3: Turning Data Into Decisions Week 2: Making Data Actionable Week 1: Building Knowledge Before Making Changes GoalMy goal for the week was to keep...

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Have a project in mind?

We are a Software as a Service company, and we charge accordingly. Our customers rent their own Boxer stack and gain access to our Terrier front-end libraries. We process a variety of standard data sets, which is…. standard. But we also process custom data you may buy or generate yourself. That’s where things get interesting