Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean

Galí, Martí; Falls, Marcus; Claustre, Hervé; Aumont, Olivier; Bernardello, Raffaele

doi:https://doi.org/10.5194/bg-19-1245-2022

Articles | Volume 19, issue 4

https://doi.org/10.5194/bg-19-1245-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-19-1245-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 4

Research article

|

01 Mar 2022

Research article |

| 01 Mar 2022

Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean

Martí Galí, Marcus Falls, Hervé Claustre, Olivier Aumont, and Raffaele Bernardello

Supplement

https://doi.org/10.5194/bg-19-1245-2022-supplement

Data sets

Datasets for the comparison between POC estimated from BGC-Argo floats and PISCES model simulations Martí Galí, Raffaele Benardello, Marcus Falls, Hervé Claustre, and Olivier Aumont https://doi.org/10.5281/zenodo.5139602

NEMO ocean engine Gurvan Madec and NEMO System Team https://doi.org/10.5281/zenodo.1464816

Tracer in Ocean Paradigm (TOP) - The NEMO passive tracer engine NEMO TOP Working Group https://doi.org/10.5281/zenodo.1471700

Model code and software

PISCES-v2 1D configuration used to study POC dynamics as observed by BGC-Argo floats Martí Galí, Raffaele Benardello, Marcus Falls, Hervé Claustre, and Olivier Aumont https://doi.org/10.5281/zenodo.5243343

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Short summary

Part of the organic matter produced by plankton in the upper ocean is exported to the deep ocean. This process, known as the biological carbon pump, is key for the regulation of atmospheric carbon dioxide and global climate. However, the dynamics of organic particles below the upper ocean layer are not well understood. Here we compared the measurements acquired by autonomous robots in the top 1000 m of the ocean to a numerical model, which can help improve future climate projections.