SCOR Working Group 160

Analysing ocean turbulence observations to quantify mixing (ATOMIX)

Microstructure turbulence measurements with an MSS90L (Sea & Sun Technology) during the MOSAiC campaign. Image credit: Lisa Grosfeld, Alfred Wegener Institute.
Cynthia Bluteau (Canada), Ilker Fer (Norway), Yueng-Djern Lenn (UK)
Other Full Members
Ryuichiro Inoue (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), Natasha Lucas (UK), Justine McMillan (Canada), Stephen Monismith (USA), Julia Mullarney (New Zealand), Sarah Nicholson (South Africa), Kristin Schulz (Germany)
Hans van Haren
Terms of Reference
  1. Develop best practices for acquiring and processing turbulence observations collected from conventional and emerging autonomous platforms, which measure velocity or velocity gradients.

  2. 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.

  3. Develop quality control measures and guidelines for publishing and archiving turbulence quantities computed from velocity or velocity gradients.

  4. 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.

October 2020
Financial Sponsors
  1. December 2020 (online)

  2. January 2021 (online)

  3. February 2021 (online)

  4. March 2021 (online)

  5. April 2021 (online)

  6. May 2021 (online)

  7. June 2021 (online)

  8. October 2021 (online)

  9. November 2021 (online)

  10. December 2021 (online)

  11. January 2022 (online)

  12. February 2022 (online)

  13. March 2022 (online)

  14. April 2022 (online)

  15. May 2022 (online)

  16. 2 June 2022, Boston, MA, USA

  17. July 2022 (online)

  18. August 2022 (online)

  19. September 2022 (online)

  20. October 2022 (online)

  21. November 2022 (online)

  22. December 2022 (online)

  23. January 2023 (online)

  24. February 2023 (online)

  25. March 2023 (online)

  26. April 2023 (online)

  27. June 2023 (online)