Co-PIs:
- Philippe Gillet, EPFL / Swiss Polar Institute (SPI)
- David Walton, British Antarctic Survey (BAS)
- Julia Schmale (PSI)
(In addition to 22 ACE PIs, in particular from CSIC, Curtin University, Duke, ETH Zürich, Melbourne University)
Problem:
A unique opportunity to collect data at the same time and location across wide-ranging scientific disciplines. But how to:
Combine hugely varied but linked data sets in a meaningful and easy-to-use way?
Break the silos of subject-specific data sets?
Work in a cross-disciplinary manner on questions and still take advantage of these data sets?
Solution:
Integrated platform providing means for scientists to combine and investigate very different data sets, then open access to ACE data
Machine learning techniques/adv. statistical methods applied to oceanographic and atmospheric data sets to investigate interactions at the air-sea interface (ASAID)
Impact:
Contribute to holistic understanding of the Southern Ocean and impacts on climate regulation
New insights into air-sea interaction in Southern Ocean
Open access to unique datasets
