ACE-DATA: Delivering Added value To Antarctica Jenny Thomas1 (jenny.thomas@epfl.ch) and Julia Schmale2 1Swiss Polar Institute, Lausanne, Switzerland, 2Paul Scherrer Institute, Villigen, Switzerland. Polar2018, June 2018 ACKNOWLEDGEMENTS The Antarctic Circumnavigation Expedition was funded and made possible by the ACE Foundation and Ferring Pharmaceuticals. ACE-DATA is funded by the Swiss Data Science Center and the Swiss Polar Institute. REFERENCES Antarctic Master Directory, https://gcmd.gsfc.nasa.gov/KeywordSearch/amd/about_us.html Jupyter, http://jupyter.org/ Renku, Swiss Data Science Center https://datascience.ch/renku-platform/ air mass movement sea-spray primary aerosol trace gases ●DMS ●isoprene ●amines ●halogens secondary aerosol particles aerosol-cloud interactions precipitation evaporation Antarctica Southern Ocean catabatic winds microbial communites J.Schmale Open-access ACE data Swiss Polar Institute data portal Antarctic Master Directory (AMD) Digital Object Identifiers (DOIs) Subject-specific repositories RENKU RENKU Data in Data in Algorithms applied to data are recorded Data out Data out ACE data RENKU, developed by the Swiss Data Swiss Data Science Center (SDSC) Science Center (SDSC) allows users to: • View algorithms applied to data • Re-use and modify of code • Collaborate with Jupyter notebooks COLLABORATIVE DATA-SHARING PLATFORM What? What? Open-access ACE data available through a data-sharing platform. Why? Why? • Antarctic Treaty requires that all data collected south of 60°S is openly available. • Easier inter-project collaboration with data in a common format in one place. • Data are available to the international community to allow benchmarking of global change. INTRODUCTION INTRODUCTION Over 30 TB of data and almost 27,000 samples from a wide variety of scientific disciplines, collected simultaneously as part of the Antarctic Circumnavigation Expedition (ACE), offer us the unique opportunity of a holistic view of the Southern Ocean in the austral summer of 2016/17. The ACE- DATA: Delivering Added value To Antarctica project will provide a collaborative data-sharing platform and explore cross-disciplinary questions using data science techniques. ACE data summary ACE data summary - 90 days of measurements (20th Dec 2016 – 19th March 2017) - > 300 variables measured (ocean, atmosphere, land, ice, biodiversity) - continuous (down to 1 sec resolution), semi-continuous (~once a day) and discrete (event- based) measurements - in-situ, remote sensing and simulation data What? What? Antarctic Sea-Atmosphere Interactions Data (ASAID) project A subset of data from ACE will be used to explore air-sea interactions in the Southern Ocean using machine learning techniques. Why? Why? • Current models struggle to simulate Southern Ocean processes. • Interactions are still very unknown, yet influence clouds, radiation and climate worldwide. Approach Approach Data science methods are used to identify relationships between various sets of a small number of variables, followed by a statistical model that will be based on these relationships. Resulting information will be fed into coupled ocean-atmosphere models CROSS-DISCIPLINARY DATA EXPLORATION