This project is interdiciplinary. It involves computer scientists (the Department of Computer Science at UiT The Arctic University of Norway) and Climate-ecological Observatory for Arctic Tundra (COAT).

The Climate-ecological Observatory for Arctic Tundra (COAT) project is a national initiative comprised of UiT, the Norwegian Institute for Nature Research (NINA), the Norwegian Polar Institute, the University Centre in Svalbard (UNIS), and the Norwegian Meteorological Institute.

The DAO project is a direct response to key challenges emphasized by the COAT science plan: The circumpolar arctic tundra is the earth’s terrestrial biome most challenged by climate change, but there are too few observations of the arctic tundra. Therefore, there is a high demand for establishing scientifically robust observation systems to enable timely detection, documentation and understanding of climate impacts.

The Distributed Arctic Observatory (DAO) is a next generation scalable, energy sensitive, configurable, and robust observation system enabling in-situ high resolution observations of large areas of the arctic tundra, with services making the data available to researchers and the public. DAO includes approaches to doing analytics and visualizations of the data. DAO comprises novel autonomous, robust, configurable, and energy-sensitive in-situ observation units, and a backend system supporting the observation units with storage, configurations, and crash handling. The backend also makes the data and services for analytics and visualizations available to researchers and the public.

The success of the DAO project will timely create a new Cyber-Physical System (CPS) paradigm shift from relying on centralized big data processing to decentralized big data processing, enabling CPS to be deployed in extreme environments such as the Arctic Tundra.

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