The use of artificial intelligence and machine learning in the area of weather prediction is nothing new, but with the advent of deep learning and very large models, the number of use cases that can be solved with it are on the rise.
Area of weather prediction seems like a natural habitat for machine learning, because of the abundant data. Weather data like temperature, humidity, and rainfall rates have been collected for a long time (more than 100 years in some places) and it seems like an obvious direction for machine learning.
Machine Learning and especially Deep Learning can improve and speed up the simulations of linear and non-linear dynamic systems. Their advantages over classical numerical methods are:
Predicting the weather or simulating fluids are just some of the tasks where our models beat classical methods. Deep learning algorithms often used here are 3D convolutional neural networks and generative adversarial networks (GANs).
Project name: Data preprocessing and preparation for modeling of precipitation forecasts using artificial intelligence
Grant recipient: Velebit Artificial Intelligence LLC (Velebit umjetna inteligencija d.o.o.)
Total project value: 105.000,00 kn
Amount co-financed by the EU: 73.500,00 kn