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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Mar 2022
Research article |
| 01 Mar 2022
| 01 Mar 2022
Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean
Barcelona Supercomputing Center (BSC), Plaça d'Eusebi Güell, 1–3, 08034 Barcelona, Catalonia, Spain
Marcus Falls
Barcelona Supercomputing Center (BSC), Plaça d'Eusebi Güell, 1–3, 08034 Barcelona, Catalonia, Spain
Hervé Claustre
CNRS & Sorbonne Université, Laboratoire d'Océanographie de Villefranche (LOV), 06230 Villefranche-sur-Mer, France
Olivier Aumont
IPSL-LOCEAN, IRD/Sorbonne Université/CNRS/MNHN, Paris, France
Raffaele Bernardello
Barcelona Supercomputing Center (BSC), Plaça d'Eusebi Güell, 1–3, 08034 Barcelona, Catalonia, Spain
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Cited
16 citations as recorded by crossref.
- Comparison of ocean-colour algorithms for particulate organic carbon in global ocean C. Kong et al. 10.3389/fmars.2024.1309050
- A Multivariable Empirical Algorithm for Estimating Particulate Organic Carbon Concentration in Marine Environments From Optical Backscattering and Chlorophyll-a Measurements D. Koestner et al. 10.3389/fmars.2022.941950
- A focus on different types of organic matter particles and their significance in the open ocean carbon cycle C. Baumas & M. Bizic 10.1016/j.pocean.2024.103233
- ChemicalDrift 1.0: an open-source Lagrangian chemical-fate and transport model for organic aquatic pollutants M. Aghito et al. 10.5194/gmd-16-2477-2023
- Ensemble analysis and forecast of ecosystem indicators in the North Atlantic using ocean colour observations and prior statistics from a stochastic NEMO–PISCES simulator M. Popov et al. 10.5194/os-20-155-2024
- Using machine learning and Biogeochemical-Argo (BGC-Argo) floats to assess biogeochemical models and optimize observing system design A. Mignot et al. 10.5194/bg-20-1405-2023
- Sensing the profile of particulate beam attenuation coefficient through a single-photon oceanic Raman lidar M. Shangguan et al. 10.1364/OE.493660
- Seasonal and interannual variability of the pelagic ecosystem and of the organic carbon budget in the Rhodes Gyre (eastern Mediterranean): influence of winter mixing J. Habib et al. 10.5194/bg-20-3203-2023
- Improved multivariable algorithms for estimating oceanic particulate organic carbon concentration from optical backscattering and chlorophyll-a measurements D. Koestner et al. 10.3389/fmars.2023.1197953
- Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon M. Falls et al. 10.5194/gmd-15-5713-2022
- Ocean carbon from space: Current status and priorities for the next decade R. Brewin et al. 10.1016/j.earscirev.2023.104386
- Biogeochemical Argo Floats Reveal the Evolution of Subsurface Chlorophyll and Particulate Organic Carbon in Southeast Indian Ocean Eddies P. Strutton et al. 10.1029/2022JC018984
- Stimulation of small phytoplankton drives enhanced sinking particle formation in a subtropical ocean eddy H. Liu et al. 10.1002/lno.12529
- An Assessment of Vertical Carbon Flux Parameterizations Using Backscatter Data From BGC Argo B. Wang & K. Fennel 10.1029/2022GL101220
- Quantitative and mechanistic understanding of the open ocean carbonate pump - perspectives for remote sensing and autonomous in situ observation G. Neukermans et al. 10.1016/j.earscirev.2023.104359
- Biogeographical Classification of the Global Ocean From BGC‐Argo Floats N. Bock et al. 10.1029/2021GB007233
16 citations as recorded by crossref.
- Comparison of ocean-colour algorithms for particulate organic carbon in global ocean C. Kong et al. 10.3389/fmars.2024.1309050
- A Multivariable Empirical Algorithm for Estimating Particulate Organic Carbon Concentration in Marine Environments From Optical Backscattering and Chlorophyll-a Measurements D. Koestner et al. 10.3389/fmars.2022.941950
- A focus on different types of organic matter particles and their significance in the open ocean carbon cycle C. Baumas & M. Bizic 10.1016/j.pocean.2024.103233
- ChemicalDrift 1.0: an open-source Lagrangian chemical-fate and transport model for organic aquatic pollutants M. Aghito et al. 10.5194/gmd-16-2477-2023
- Ensemble analysis and forecast of ecosystem indicators in the North Atlantic using ocean colour observations and prior statistics from a stochastic NEMO–PISCES simulator M. Popov et al. 10.5194/os-20-155-2024
- Using machine learning and Biogeochemical-Argo (BGC-Argo) floats to assess biogeochemical models and optimize observing system design A. Mignot et al. 10.5194/bg-20-1405-2023
- Sensing the profile of particulate beam attenuation coefficient through a single-photon oceanic Raman lidar M. Shangguan et al. 10.1364/OE.493660
- Seasonal and interannual variability of the pelagic ecosystem and of the organic carbon budget in the Rhodes Gyre (eastern Mediterranean): influence of winter mixing J. Habib et al. 10.5194/bg-20-3203-2023
- Improved multivariable algorithms for estimating oceanic particulate organic carbon concentration from optical backscattering and chlorophyll-a measurements D. Koestner et al. 10.3389/fmars.2023.1197953
- Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon M. Falls et al. 10.5194/gmd-15-5713-2022
- Ocean carbon from space: Current status and priorities for the next decade R. Brewin et al. 10.1016/j.earscirev.2023.104386
- Biogeochemical Argo Floats Reveal the Evolution of Subsurface Chlorophyll and Particulate Organic Carbon in Southeast Indian Ocean Eddies P. Strutton et al. 10.1029/2022JC018984
- Stimulation of small phytoplankton drives enhanced sinking particle formation in a subtropical ocean eddy H. Liu et al. 10.1002/lno.12529
- An Assessment of Vertical Carbon Flux Parameterizations Using Backscatter Data From BGC Argo B. Wang & K. Fennel 10.1029/2022GL101220
- Quantitative and mechanistic understanding of the open ocean carbonate pump - perspectives for remote sensing and autonomous in situ observation G. Neukermans et al. 10.1016/j.earscirev.2023.104359
- Biogeographical Classification of the Global Ocean From BGC‐Argo Floats N. Bock et al. 10.1029/2021GB007233
Latest update: 17 Jul 2024
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.
Part of the organic matter produced by plankton in the upper ocean is exported to the deep...
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