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

C17-02