A new global oceanic multi-model net primary productivity data product

Ryan-Keogh, Thomas J.; Thomalla, Sandy J.; Chang, Nicolette; Moalusi, Tumelo

doi:https://doi.org/10.5194/essd-15-4829-2023

Articles | Volume 15, issue 11

https://doi.org/10.5194/essd-15-4829-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-15-4829-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 11

Data description paper

|

31 Oct 2023

Data description paper |

| 31 Oct 2023

A new global oceanic multi-model net primary productivity data product

Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Tumelo Moalusi

Data sets

Net primary production from the Behrenfeld-CbPM, Westberry-CbPM and Silsbe-CAFE algorithms -- HADLEY MLD 0.125 Criterion Thomas James Ryan-Keogh, Sandy Jane Thomalla, Nicolette Chang, and Tumelo Moalusi https://doi.org/10.5281/ZENODO.8320875

Net primary production from the Behrenfeld-CbPM, Westberry-CbPM and Silsbe-CAFE algorithms -- HYCOM MLD 0.030 Criterion Thomas James Ryan-Keogh, Sandy Jane Thomalla, Nicolette Chang, and Tumelo Moalusi https://doi.org/10.5281/ZENODO.8320872

Net primary production from the Behrenfeld-CbPM, Westberry-CbPM and Silsbe-CAFE algorithms -- HYCOM MLD 0.125 Criterion Thomas James Ryan-Keogh, Sandy Jane Thomalla, Nicolette Chang, and Tumelo Moalusi https://doi.org/10.5281/ZENODO.8318272

Net primary production from the Eppley-VGPM, Behrenfeld-VGPM, Behrenfeld-CbPM, Westberry-CbPM and Silsbe-CAFE algorithms Thomas James Ryan-Keogh, Sandy Jane Thomalla, Nicolette Chang, and Tumelo Moalusi https://doi.org/10.5281/ZENODO.8314348

Short summary

Oceanic productivity has been highlighted as an important environmental indicator of climate change in comparison to other existing metrics. However, the availability of these data to assess trends and trajectories is plagued with issues, such as application to only a single satellite reducing the time period for assessment. We have applied multiple algorithms to the longest ocean colour record to provide a record for assessing climate-change-driven trends.