A visual identity for a research conference at the intersection of machine learning and atmospheric science — for master's and PhD students working on data-driven weather prediction. The identity treats forecasting itself as the visual subject — not weather as a picture, but the structure underneath it: ensemble spread, grid-based models and orbital data paths.
case in progress
case in progress