- Chair(s)
- 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)
- Reporter
- Hans van Haren
- 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
- Meetings
December 2020 (online)
January 2021 (online)
February 2021 (online)
March 2021 (online)
April 2021 (online)
May 2021 (online)
June 2021 (online)
October 2021 (online)
November 2021 (online)
December 2021 (online)
January 2022 (online)
February 2022 (online)
March 2022 (online)
April 2022 (online)
May 2022 (online)
2 June 2022, Boston, MA, USA
July 2022 (online)
August 2022 (online)
September 2022 (online)
October 2022 (online)
November 2022 (online)
December 2022 (online)
January 2023 (online)
February 2023 (online)
March 2023 (online)
April 2023 (online)
June 2023 (online)
January 2024 (online)
February 2024 (online)
March 2024 (online)
April 2024 (online)
May 2024 (online)
June 2024, Boston, USA
- Publications
ATOMIX wiki: wiki.app.uib.no/atomix
- Lueck, R., Fer, I., Bluteau, C., Dengler, M., Holtermann, P., Inoue, R., LeBoyer, A., Nicholson, S.-A., Schulz, K., & Stevens, C. (2024). Best practices recommendations for estimating dissipation rates from shear probes. Frontiers in Marine Science, 11. https://doi.org/10.3389/fmars.2024.1334327
- Fer, I., Dengler, M., Holtermann, P., Le Boyer, A., & Lueck, R. (2024). ATOMIX benchmark datasets for dissipation rate measurements using shear probes. Scientific Data, 11(1), 518. https://doi.org/10.1038/s41597-024-03323-y
Fer, I., Dengler, M., Holtermann, P., Le Boyer, A., & Lueck, R. (2024). ATOMIX Shear Probes benchmark dataset descriptor figures (v1.0). Zenodo. https://doi.org/10.5281/zenodo.10610150
Bluteau, C. (2024). Synthetic spectra for assessing statistical fitting methods used to estimate ocean turbulence [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10576543