Weather On The Gogh — See the Weather Through the Eyes of Van Gogh

Weather sites, although functional, can be incredibly boring, with charts, bar graphs, squiggly lines, and way too many icons.

But what if checking the daily weather was not just informative, but inspirational?

An artistic experience where you get an hourly forecast and also learn about one of the greatest impressionist painters of all time, Vincent van Gogh…

Introducing Weather On The Gogh, the first-ever weather site that presents the hourly forecast through a Van Gogh painting.

How We Did It.

We started by building a custom AI model trained on traditional weather sites and meteorological data, all the important (but boring) stuff.

Then, we turned to art. Using visual pattern recognition, the AI model analysed over 150 Van Gogh paintings, identifying rainfall, cloud cover, humidity, temperature, atmospheric conditions, and time of day.

Each painting was then matched to a specific weather forecast, turning raw data into an expressive masterpiece.

And yes, it’s location-specific.

So no matter where you are in the world, you’ll see your weather through the eyes of Van Gogh.

The Team:

Creators behind the project: Cillian Kenny & Eamonn Finn

Creative Technologist & Use of AI : Cillian Kenny

Creative Technologist & UX Design: Eamonn Finn

Back End Developer & Creative Tech: Reza Erami

Lead Web Developer: Ilija Dončić

Designer & Video Editor: Jeffrey Okhuijsen

Special thanks to:
Fellow creative Rachel Hunter and SUPERHEROES for keeping the project going, Rogier Vijverberg, Django Weisz Blanchetta, Craig Miles, Sako Tvildiani, Victor Winters, and the rest of the gang, and fellow creatives Eoin Tierney, Conor Cunniffe, Stan Severin, Iván Domingo Berenguer, Henrique Louzada, Haider Hussain, Max Halley Tom Connolly and Cormac Ó Conaire.

Weather on the Gogh

Created and developed by Cillian Kenny

This is a personal creative project that combines meteorology, AI, and public domain art to visualise live weather forecasts through Van Gogh paintings.

The concept, dataset design, AI-assisted curation process, and all written content were created by me, Cillian Kenny.

Public domain artworks have been reinterpreted using machine learning tools and creative direction for educational and artistic purposes.