Presentation

Spatially distributed and temporally dynamic snow information are highly valuable for the hydropower sector to optimize production, avoid water spillage and ensure dam safety. However, accurate quantification of snow amount, especially in mountainous areas, remains a big challenge. In this research, we use Artificial Intelligence (AI) and Internet-of-Things (IoT) to improve the estimation of snow water storage from satellite observations and prototype a snow service system in Sweden. This research can lead to improved hydropower management, increased hydropower production and enhanced preparedness to extreme events. We are currently developing and testing our approach in a pilot study area of northern Sweden. As a data-driven approach, this research and developed service will further benefit from the establishment of an extensive mountain snow monitoring network.