- Chair(s)
- Cynthia Bluteau (Canada), Ilker Fer (Norway), Yueng-Djern Lenn (UK)
- Other Full Members
- Toshiyuki Hibiya (Japan), Arnaud LeBoyer (USA), Zhiyu Liu (China), Rolf Lueck (Canada), Amelie Meyer (Australia), Craig Stevens (New Zealand), Danielle Wain (USA)
- Associate Members
- Marcus Dengler (Germany), Jenson George (India), Peter Holtermann (Germany), Ryuichiro Inoue (Japan), Natasha Lucas (UK), Justine McMillan (Canada), Stephen Monismith (USA), Julia Mullarney (New Zealand), Sarah Nicholson (South Africa), Kristin Schulz (Germany)
- Reporter
- Trevor McDougall
- Terms of Reference
Develop best practices for acquiring and processing turbulence observations collected from conventional and emerging autonomous platforms, which measure velocity or velocity gradients.
Establish an open-access database of benchmark datasets collected in diverse ocean environments via different measurement techniques. These raw datasets will be accompanied by agreed- upon “best” processed s estimates to enable validating data processing algorithms irrespective of programming language.
Develop quality control measures and guidelines for publishing and archiving turbulence quantities computed from velocity or velocity gradients.
Build capacity by creating a collaborative, living wiki-platform that consolidates knowledge on processing of turbulence observations, both from existing and future technologies, as they become available.
- Approved
- October 2020
- Financial Sponsors
- SCOR, NSF