Articles | Volume 17, issue 15
https://doi.org/10.5194/bg-17-4059-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/bg-17-4059-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Aug 2020
Research article |
| 11 Aug 2020
| 11 Aug 2020
Assessing the value of biogeochemical Argo profiles versus ocean color observations for biogeochemical model optimization in the Gulf of Mexico
Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada
Katja Fennel
Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada
Liuqian Yu
Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada
Department of Mathematics, The Hong Kong University of Science and Technology, Kowloon, Hong Kong
Christopher Gordon
Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada
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- 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
- Reviews and syntheses: expanding the global coverage of gross primary production and net community production measurements using Biogeochemical-Argo floats R. Izett et al. 10.5194/bg-21-13-2024
- Can assimilation of satellite observations improve subsurface biological properties in a numerical model? A case study for the Gulf of Mexico B. Wang et al. 10.5194/os-17-1141-2021
- Variability of plankton production during the spring bloom in NW Iberia L. García-García & M. Ruiz-Villarreal 10.3354/meps14236
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- Combining neural networks and data assimilation to enhance the spatial impact of Argo floats in the Copernicus Mediterranean biogeochemical model C. Amadio et al. 10.5194/os-20-689-2024
- Control of simulated ocean ecosystem indicators by biogeochemical observations S. Ciavatta et al. 10.1016/j.pocean.2024.103384
- Uncertainties in ocean biogeochemical simulations: Application of ensemble data assimilation to a one-dimensional model N. Mamnun et al. 10.3389/fmars.2022.984236
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- Chromophoric dissolved organic matter dynamics revealed through the optimization of an optical–biogeochemical model in the northwestern Mediterranean Sea E. Álvarez et al. 10.5194/bg-20-4591-2023
- Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea C. Shu et al. 10.3390/rs14051297
- Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. 10.1029/2020RG000715
- Cetacean‐mediated vertical nitrogen transport in the oceanic realm M. Woodstock et al. 10.1002/lno.12433
- Monitoring ocean biogeochemistry with autonomous platforms F. Chai et al. 10.1038/s43017-020-0053-y
18 citations as recorded by crossref.
- Larval dispersal and physical connectivity of Pheronema carpenteri populations in the Azores C. Viegas et al. 10.3389/fmars.2024.1393385
- 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
- Reviews and syntheses: expanding the global coverage of gross primary production and net community production measurements using Biogeochemical-Argo floats R. Izett et al. 10.5194/bg-21-13-2024
- Can assimilation of satellite observations improve subsurface biological properties in a numerical model? A case study for the Gulf of Mexico B. Wang et al. 10.5194/os-17-1141-2021
- Variability of plankton production during the spring bloom in NW Iberia L. García-García & M. Ruiz-Villarreal 10.3354/meps14236
- An Assessment of Vertical Carbon Flux Parameterizations Using Backscatter Data From BGC Argo B. Wang & K. Fennel 10.1029/2022GL101220
- Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment A. Teruzzi et al. 10.5194/bg-18-6147-2021
- Oceanic Fronts Structure Phytoplankton Distributions in the Central South Indian Ocean M. Guo et al. 10.1029/2021JC017594
- Ocean biogeochemical modelling K. Fennel et al. 10.1038/s43586-022-00154-2
- An along-track Biogeochemical Argo modelling framework: a case study of model improvements for the Nordic seas V. Yumruktepe et al. 10.5194/gmd-16-6875-2023
- Combining neural networks and data assimilation to enhance the spatial impact of Argo floats in the Copernicus Mediterranean biogeochemical model C. Amadio et al. 10.5194/os-20-689-2024
- Control of simulated ocean ecosystem indicators by biogeochemical observations S. Ciavatta et al. 10.1016/j.pocean.2024.103384
- Uncertainties in ocean biogeochemical simulations: Application of ensemble data assimilation to a one-dimensional model N. Mamnun et al. 10.3389/fmars.2022.984236
- Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation V. Vervatis et al. 10.1016/j.ocemod.2021.101781
- Distinct sources of uncertainty in simulations of the ocean biological carbon pump at different depths B. Wang & K. Fennel 10.1038/s43247-024-01561-x
- Chromophoric dissolved organic matter dynamics revealed through the optimization of an optical–biogeochemical model in the northwestern Mediterranean Sea E. Álvarez et al. 10.5194/bg-20-4591-2023
- Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea C. Shu et al. 10.3390/rs14051297
- Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. 10.1029/2020RG000715
Latest update: 23 Nov 2024
Short summary
We assess trade-offs between different types of biological observations, specifically satellite ocean color and BGC-Argo profiles and the benefits of combining both for optimizing a biogeochemical model of the Gulf of Mexico. Using all available observations leads to significant improvements in observed and unobserved variables (including primary production and C export). Our results highlight the significant benefits of BGC-Argo measurements for biogeochemical model optimization and validation.
We assess trade-offs between different types of biological observations, specifically satellite...
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