Articles | Volume 15, issue 2
https://doi.org/10.5194/bg-15-613-2018
© Author(s) 2018. 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-15-613-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modelling ocean-colour-derived chlorophyll a
Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Center for Climate Change Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Anna E. Hickman
Ocean and Earth Sciences, University of Southampton, National Oceanography Centre Southampton, Southampton, SO14 3ZH, UK
Oliver Jahn
Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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Cited
15 citations as recorded by crossref.
- Putting It All Together: Adding Value to the Global Ocean and Climate Observing Systems With Complete Self-Consistent Ocean State and Parameter Estimates P. Heimbach et al. 10.3389/fmars.2019.00055
- Assessing the Potential of Backscattering as a Proxy for Phytoplankton Carbon Biomass C. Serra‐Pompei et al. 10.1029/2022GB007556
- Appraisal of sedimentary alkenones for the quantitative reconstruction of phytoplankton biomass M. Raja & A. Rosell-Melé 10.1073/pnas.2014787118
- Using Probability Density Functions to Evaluate Models (PDFEM, v1.0) to compare a biogeochemical model with satellite-derived chlorophyll B. Jönsson et al. 10.5194/gmd-16-4639-2023
- Impact of Temporal Variation of Chlorophyll‐Specific Absorption on Phytoplankton Phenology Observed From Ocean Color Satellite: A Numerical Experiment Z. Lee et al. 10.1029/2020JC016382
- Sensing the ocean biological carbon pump from space: A review of capabilities, concepts, research gaps and future developments R. Brewin et al. 10.1016/j.earscirev.2021.103604
- Quantitative Link Between Sedimentary Chlorin and Sea‐Surface Chlorophyll‐a M. Raja & A. Rosell‐Melé 10.1029/2021JG006514
- Ocean carbon from space: Current status and priorities for the next decade R. Brewin et al. 10.1016/j.earscirev.2023.104386
- Using feature-based verification methods to explore the spatial and temporal characteristics of the 2019 chlorophyll-<i>a</i> bloom season in a model of the European Northwest Shelf M. Mittermaier et al. 10.5194/os-17-1527-2021
- Attribution of Space‐Time Variability in Global‐Ocean Dissolved Inorganic Carbon D. Carroll et al. 10.1029/2021GB007162
- CDOM Spatiotemporal Variability in the Mediterranean Sea: A Modelling Study P. Lazzari et al. 10.3390/jmse9020176
- The utility of simulated ocean chlorophyll observations: a case study with the Chlorophyll Observation Simulator Package (version 1) in CESMv2.2 G. Clow et al. 10.5194/gmd-17-975-2024
- Ocean colour signature of climate change S. Dutkiewicz et al. 10.1038/s41467-019-08457-x
- Phytoplankton Light Absorption Impacted by Photoprotective Carotenoids in a Global Ocean Spectrally‐Resolved Biogeochemistry Model E. Álvarez et al. 10.1029/2022MS003126
- Surface cooling caused by rare but intense near-inertial wave induced mixing in the tropical Atlantic R. Hummels et al. 10.1038/s41467-020-17601-x
15 citations as recorded by crossref.
- Putting It All Together: Adding Value to the Global Ocean and Climate Observing Systems With Complete Self-Consistent Ocean State and Parameter Estimates P. Heimbach et al. 10.3389/fmars.2019.00055
- Assessing the Potential of Backscattering as a Proxy for Phytoplankton Carbon Biomass C. Serra‐Pompei et al. 10.1029/2022GB007556
- Appraisal of sedimentary alkenones for the quantitative reconstruction of phytoplankton biomass M. Raja & A. Rosell-Melé 10.1073/pnas.2014787118
- Using Probability Density Functions to Evaluate Models (PDFEM, v1.0) to compare a biogeochemical model with satellite-derived chlorophyll B. Jönsson et al. 10.5194/gmd-16-4639-2023
- Impact of Temporal Variation of Chlorophyll‐Specific Absorption on Phytoplankton Phenology Observed From Ocean Color Satellite: A Numerical Experiment Z. Lee et al. 10.1029/2020JC016382
- Sensing the ocean biological carbon pump from space: A review of capabilities, concepts, research gaps and future developments R. Brewin et al. 10.1016/j.earscirev.2021.103604
- Quantitative Link Between Sedimentary Chlorin and Sea‐Surface Chlorophyll‐a M. Raja & A. Rosell‐Melé 10.1029/2021JG006514
- Ocean carbon from space: Current status and priorities for the next decade R. Brewin et al. 10.1016/j.earscirev.2023.104386
- Using feature-based verification methods to explore the spatial and temporal characteristics of the 2019 chlorophyll-<i>a</i> bloom season in a model of the European Northwest Shelf M. Mittermaier et al. 10.5194/os-17-1527-2021
- Attribution of Space‐Time Variability in Global‐Ocean Dissolved Inorganic Carbon D. Carroll et al. 10.1029/2021GB007162
- CDOM Spatiotemporal Variability in the Mediterranean Sea: A Modelling Study P. Lazzari et al. 10.3390/jmse9020176
- The utility of simulated ocean chlorophyll observations: a case study with the Chlorophyll Observation Simulator Package (version 1) in CESMv2.2 G. Clow et al. 10.5194/gmd-17-975-2024
- Ocean colour signature of climate change S. Dutkiewicz et al. 10.1038/s41467-019-08457-x
- Phytoplankton Light Absorption Impacted by Photoprotective Carotenoids in a Global Ocean Spectrally‐Resolved Biogeochemistry Model E. Álvarez et al. 10.1029/2022MS003126
- Surface cooling caused by rare but intense near-inertial wave induced mixing in the tropical Atlantic R. Hummels et al. 10.1038/s41467-020-17601-x
Latest update: 23 Nov 2024
Short summary
This study provides a demonstration that a biogeochemical/ecosystem/optical computer model which explicitly captures how light is radiated at the surface of the ocean and can be used as a laboratory to explore products (such as Chl a) that are derived from satellite measurements of ocean colour. It explores uncertainties that arise from data input used to derive the algorithms for the products, and issues arising from the interplay between optically important constituents in the ocean.
This study provides a demonstration that a biogeochemical/ecosystem/optical computer model which...
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