Computational art that visualizes weather through eigenvalue analysis. Enter a city name to generate a unique abstract visualization of its weather's mathematical structure.
weathee.art merges nature and mathematics by converting real-time weather data into visual art. For each city, we extract meteorological parameters (temperature, pressure, humidity, wind, clouds), embed them in a random matrix, and sample 100,000 eigenvalues via Monte Carlo simulation. The resulting eigenvalue distribution in the complex plane creates an aesthetic pattern that uniquely reflects the weather at that moment.