Climate change research, weather forecasting and seismology rely more and more on (Big) data science. Besides increasing data from traditional sources such as observation networks, radars and satellites, the use of open data, crowd sourced data and the Internet of Things (IoT) is emerging. To deploy these sources of data optimally in our services and products, data-driven innovations are performed in collaboration with public and private sector partners. KNMI DataLab facilitates and coordinates these innovations since the January 2016. Big data management, data analytics including machine learning and deep learning are playing an important role in the DataLab.
From idea to implementation
Ideas for data-driven innovations need to be pitched successfully to obtain support from the KNMI Datalab. Support can consist of data science effort and advice by the Datalab as well as data science training of the job. Data science activities include development of Proof-of-Concepts (PoC) and Minimum Viable Products (MVP) that are ready for implementation.
Data science facilities, data sources and expertise
The DataLab offers a working environment for data science with facilities for data integration (data wrangling), data analysis (e.g., machine learning and deep learning modeling) and data visualization. The KNMI Datalab offers also access to (big) data sources, training material and a network of experts from other datalabs, universities and knowledge institutions. Outreach and sharing of results is performed by facts sheets, presentations, demonstrations and tools that are publicly made available.
Initial focus has been given to the themes “high resolution weather and atmospheric conditions” and “weather and traffic (i.e. smart mobility)”. New themes such as “impact based forecasting” become more important for the development of an Early Warning Centre (EWC).
Examples of projects that are performed with support of the KNMI Datalab.
More information about the KNMI datalab and related projects is also available on KNMI datalab.
De Bilt, 18 December 2018.