Artificial intelligence

With the help of artificial intelligence, information can be extracted more efficiently and correctly from extremely large amounts of data, than with traditional statistical methods. Our work focuses on data from satellites, drifting buoys, and calculated data from our models. Machine learning helps us to streamline analyzes of data, and to discover new connections between the data. One example is the use of machine learning for faster classification of radar images of sea ice. We combine years of knowledge about the environment and climate with leading techniques for machine learning, and through this increase the quality of analyzes and forecasts. With the help of artificial intelligence, we will increase the speed of our models and data assimilation methods. Current studies are primarily aimed at operational climate forecasting and research. The models will be able to learn from their mistakes, add missing details in a forecast or in satellite data, and for example predict specific types of harmful algal blooms.