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Journal articles on the topic 'BGC-Argo profiling floats'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Begouen Demeaux, Charlotte, and Emmanuel Boss. "Validation of Remote-Sensing Algorithms for Diffuse Attenuation of Downward Irradiance Using BGC-Argo Floats." Remote Sensing 14, no. 18 (2022): 4500. http://dx.doi.org/10.3390/rs14184500.

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Estimates of the diffuse attenuation coefficient (Kd) at two different wavelengths and band-integrated (PAR) were obtained using different published algorithms developed for open ocean waters spanning in type from explicit-empirical, semi-analytical and implicit-empirical and applied to data from spectral radiometers on board six different satellites (MODIS-Aqua, MODIS-Terra, VIIRS–SNPP, VIIRS-JPSS, OLCI-Sentinel 3A and OLCI-Sentinel 3B). The resultant Kds were compared to those inferred from measurements of radiometry from sensors on board autonomous profiling floats (BGC-Argo). Advantages of

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2

Bellacicco, Vellucci, Scardi, Barbieux, Marullo, and D’Ortenzio. "Quantifying the Impact of Linear Regression Model in Deriving Bio-Optical Relationships: The Implications on Ocean Carbon Estimations." Sensors 19, no. 13 (2019): 3032. http://dx.doi.org/10.3390/s19133032.

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Linear regression is widely used in applied sciences and, in particular, in satellite optical oceanography, to relate dependent to independent variables. It is often adopted to establish empirical algorithms based on a finite set of measurements, which are later applied to observations on a larger scale from platforms such as autonomous profiling floats equipped with optical instruments (e.g., Biogeochemical Argo floats; BGC-Argo floats) and satellite ocean colour sensors (e.g., SeaWiFS, VIIRS, OLCI). However, different methods can be applied to a given pair of variables to determine the coeff

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3

O’Brien, Terence, and Emmanuel Boss. "Correction of Radiometry Data for Temperature Effect on Dark Current, with Application to Radiometers on Profiling Floats." Sensors 22, no. 18 (2022): 6771. http://dx.doi.org/10.3390/s22186771.

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Measurements of daytime radiometry in the ocean are necessary to constrain processes such as photosynthesis, photo-chemistry and radiative heating. Profiles of downwelling irradiance provide a means to compute the concentration of a variety of in-water constituents. However, radiometers record a non-negligible signal when no light is available, and this signal is temperature dependent (called the dark current). Here, we devise and evaluate two consistent methods for correction of BGC-Argo radiometry measurements for dark current: one based on measurements during the day, the other based on nig

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4

Claustre, Hervé, Kenneth S. Johnson, and Yuichiro Takeshita. "Observing the Global Ocean with Biogeochemical-Argo." Annual Review of Marine Science 12, no. 1 (2020): 23–48. http://dx.doi.org/10.1146/annurev-marine-010419-010956.

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Biogeochemical-Argo (BGC-Argo) is a network of profiling floats carrying sensors that enable observation of as many as six essential biogeochemical and bio-optical variables: oxygen, nitrate, pH, chlorophyll a, suspended particles, and downwelling irradiance. This sensor network represents today's most promising strategy for collecting temporally and vertically resolved observations of biogeochemical properties throughout the ocean. All data are freely available within 24 hours of transmission. These data fill large gaps in ocean-observing systems and support three ambitions: gaining a better

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5

Matsumoto, George I., Kenneth S. Johnson, Steve Riser, Lynne Talley, Susan Wijffels, and Roberta Hotinski. "The Global Ocean Biogeochemistry (GO-BGC) Array of Profiling Floats to Observe Changing Ocean Chemistry and Biology." Marine Technology Society Journal 56, no. 3 (2022): 122–23. http://dx.doi.org/10.4031/mtsj.56.3.25.

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Abstract The Global Ocean Biogeochemistry (GO-BGC) Array is a project funded by the US National Science Foundation to build a global network of chemical and biological sensors on Argo profiling floats. The network will monitor biogeochemical cycles and ocean health. The floats will collect from a depth of 2,000 meters to the surface, augmenting the existing <ext-link ext-link-type="uri" xlink:href="https://argo.ucsd.edu/">Argo array</ext-link> that monitors ocean temperature and salinity. Data will be made freely available within a day of being collected via the Argo data system. T

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6

Barbieux, Marie, Julia Uitz, Bernard Gentili, et al. "Bio-optical characterization of subsurface chlorophyll maxima in the Mediterranean Sea from a Biogeochemical-Argo float database." Biogeosciences 16, no. 6 (2019): 1321–42. http://dx.doi.org/10.5194/bg-16-1321-2019.

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Abstract. As commonly observed in oligotrophic stratified waters, a subsurface (or deep) chlorophyll maximum (SCM) frequently characterizes the vertical distribution of phytoplankton chlorophyll in the Mediterranean Sea. Occurring far from the surface layer “seen” by ocean colour satellites, SCMs are difficult to observe with adequate spatio-temporal resolution and their biogeochemical impact remains unknown. Biogeochemical-Argo (BGC-Argo) profiling floats represent appropriate tools for studying the dynamics of SCMs. Based on data collected from 36 BGC-Argo floats deployed in the Mediterranea

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7

Barbieux, Marie, Julia Uitz, Alexandre Mignot, et al. "Biological production in two contrasted regions of the Mediterranean Sea during the oligotrophic period: an estimate based on the diel cycle of optical properties measured by BioGeoChemical-Argo profiling floats." Biogeosciences 19, no. 4 (2022): 1165–94. http://dx.doi.org/10.5194/bg-19-1165-2022.

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Abstract. This study assesses marine community production based on the diel variability of bio-optical properties monitored by two BioGeoChemical-Argo (BGC-Argo) floats. Experiments were conducted in two distinct Mediterranean systems, the northwestern Ligurian Sea and the central Ionian Sea, during summer months. We derived particulate organic carbon (POC) stock and gross community production integrated within the surface, euphotic and subsurface chlorophyll maximum (SCM) layers, using an existing approach applied to diel cycle measurements of the particulate beam attenuation (cp) and backsca

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8

Pietropolli, Gloria, Luca Manzoni, and Gianpiero Cossarini. "PPCon 1.0: Biogeochemical-Argo profile prediction with 1D convolutional networks." Geoscientific Model Development 17, no. 20 (2024): 7347–64. http://dx.doi.org/10.5194/gmd-17-7347-2024.

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Abstract. Effective observation of the ocean is vital for studying and assessing the state and evolution of the marine ecosystem and for evaluating the impact of human activities. However, obtaining comprehensive oceanic measurements across temporal and spatial scales and for different biogeochemical variables remains challenging. Autonomous oceanographic instruments, such as Biogeochemical (BGC)-Argo profiling floats, have helped expand our ability to obtain subsurface and deep-ocean measurements, but measuring biogeochemical variables, such as nutrient concentration, still remains more deman

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9

Chai, Fei, Yuntao Wang, Xiaogang Xing, et al. "A limited effect of sub-tropical typhoons on phytoplankton dynamics." Biogeosciences 18, no. 3 (2021): 849–59. http://dx.doi.org/10.5194/bg-18-849-2021.

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Abstract. Typhoons are assumed to stimulate primary ocean production through the upward mixing of nutrients into the ocean surface. This assumption is based largely on observations of increased surface chlorophyll concentrations following the passage of typhoons. This surface chlorophyll enhancement, occasionally detected by satellites, is often undetected due to intense cloud coverage. Daily data from a BGC-Argo profiling float revealed the upper-ocean response to Typhoon Trami in the northwest Pacific Ocean. Temperature and chlorophyll changed rapidly, with a significant drop in sea surface

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10

Stoer, Adam C., Yuichiro Takeshita, Tanya Lee Maurer, et al. "A census of quality-controlled Biogeochemical-Argo float measurements." Frontiers in Marine Science 10 (October 27, 2023). http://dx.doi.org/10.3389/fmars.2023.1233289.

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Biogeochemical- (BGC-) Argo aims to deploy and maintain a global array of autonomous profiling floats to monitor ocean biogeochemistry. With over 250,000 profiles collected so far, the BGC-Argo network is rapidly expanding toward the target of a sustained fleet of 1,000 floats. These floats prioritize the measurement of six key properties: oxygen, nitrate, pH, chlorophyll-a, suspended particles, and downwelling light. To assess the current biogeochemical state of the ocean, its variability, and trends with confidence, it is crucial to quality control these measurements. Accordingly, BGC-Argo m

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11

Maurer, Tanya L., Joshua N. Plant, and Kenneth S. Johnson. "Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats." Frontiers in Marine Science 8 (August 11, 2021). http://dx.doi.org/10.3389/fmars.2021.683207.

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The Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project has deployed 194 profiling floats equipped with biogeochemical (BGC) sensors, making it one of the largest contributors to global BGC-Argo. Post-deployment quality control (QC) of float-based oxygen, nitrate, and pH data is a crucial step in the processing and dissemination of such data, as in situ chemical sensors remain in early stages of development. In situ calibration of chemical sensors on profiling floats using atmospheric reanalysis and empirical algorithms can bring accuracy to within 3 μmol O2 kg–1, 0.5

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12

Johnson, Gregory, and Andrea Fassbender. "After Two Decades, Argo at PMEL, Looks to the Future." Oceanography, 2023. http://dx.doi.org/10.5670/oceanog.2023.223.

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The NOAA Pacific Environmental Laboratory (PMEL) has contributed to the revolutionary Argo ocean observing system since its inception, developing CTD calibration algorithms and software that have been adopted by the international Argo community. PMEL has provided over 1,440 Argo floats—~13% of the global array—with ~500 currently active. PMEL scientific contributions using Argo data have ranged from regional to global analyses of ocean circulation and water-mass variability, to ocean warming and its contributions to sea level rise and Earth’s energy imbalance, to estimates of global ocean deox

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13

Koestner, Daniel, Dariusz Stramski, and Rick A. Reynolds. "A Multivariable Empirical Algorithm for Estimating Particulate Organic Carbon Concentration in Marine Environments From Optical Backscattering and Chlorophyll-a Measurements." Frontiers in Marine Science 9 (August 12, 2022). http://dx.doi.org/10.3389/fmars.2022.941950.

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Accurate estimates of the oceanic particulate organic carbon concentration (POC) from optical measurements have remained challenging because interactions between light and natural assemblages of marine particles are complex, depending on particle concentration, composition, and size distribution. In particular, the applicability of a single relationship between POC and the spectral particulate backscattering coefficient bbp(λ) across diverse oceanic environments is subject to high uncertainties because of the variable nature of particulate assemblages. These relationships have nevertheless bee

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14

Osborne, Emily, Yuan-Yuan Xu, Madison Soden, Jennifer McWhorter, Leticia Barbero, and Rik Wanninkhof. "A neural network algorithm for quantifying seawater pH using Biogeochemical-Argo floats in the open Gulf of Mexico." Frontiers in Marine Science 11 (November 18, 2024). http://dx.doi.org/10.3389/fmars.2024.1468909.

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Within the Gulf of Mexico (GOM), measurements of ocean pH are limited across space and time. This has hindered our ability to robustly monitor and study regional carbon dynamics, inclusive of ocean acidification, over this biogeochemically variable sea. The 2021 launch of Biogeochemical-Argo (BGC-Argo) ocean profiling floats that carry five sensors represented the entry of this particular ocean observing technology into this region. The GOM BGC-Argo floats have vastly increased the number of oxygen, nitrate, pH, chlorophyll-a fluorescence, and particulate backscattering profile observations wi

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15

Tanner, Ella Poppy, Harry Ewin, Johannes J. Viljoen, and Robert J. W. Brewin. "Revisiting the relationship between surface and column-integrated chlorophyll-a concentrations in the Biogeochemical-Argo and satellite era." Frontiers in Remote Sensing 5 (December 11, 2024). https://doi.org/10.3389/frsen.2024.1495958.

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Phytoplankton occupy the oceans’ euphotic zone and are responsible for its primary production; thus, our ability to monitor their patterns of abundance and physiology is vital for tracking ocean health. Ocean colour sensors mounted on satellites can monitor the surface patterns of phytoplankton daily at global scales but cannot see into the subsurface. Autonomous robotic platforms, like Biogeochemical-Argo (BGC-Argo) profiling floats, do not have the coverage of satellites but can monitor the subsurface. Combining these methods can help track phytoplankton patterns throughout the euphotic zone

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16

Uitz, J., C. Roesler, E. Organelli, et al. "Characterization of Bio‐Optical Anomalies in the Kerguelen Region, Southern Indian Ocean: A Study Based on Shipborne Sampling and BioGeoChemical‐Argo Profiling Floats." Journal of Geophysical Research: Oceans 128, no. 12 (2023). http://dx.doi.org/10.1029/2023jc019671.

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AbstractThe Southern Ocean (SO) is known for its atypical bio‐optical regime. This complicates the interpretation of proxies measured from satellite and in situ platforms equipped with optical sensors, which occupy an important niche for monitoring the vast and remote SO. A ship‐based field study in concert with time series observations from BioGeoChemical‐Argo (BGC‐Argo) profiling floats were used to investigate spatial and temporal variations in bio‐optical relationships in the open ocean waters surrounding the Kerguelen Plateau in the Indian sector of the SO. Compared to other regions with

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17

Arteaga, Lionel A., and Cecile S. Rousseaux. "Evaluation of Vertical Patterns in Chlorophyll‐A Derived From a Data Assimilating Model of Satellite‐Based Ocean Color." Earth and Space Science 11, no. 7 (2024). http://dx.doi.org/10.1029/2023ea003378.

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AbstractSatellite‐based sensors of ocean color have become the primary tool to infer changes in surface chlorophyll, while BGC‐Argo floats are now filling the information gap at depth. Here we use BGC‐Argo data to assess depth‐resolved information on chlorophyll‐a derived from an ocean biogeochemical model constrained by the assimilation of surface ocean color remote sensing. The data‐assimilating model replicates well the general seasonality and meridional gradients in surface and depth‐resolved chlorophyll‐a inferred from the float array in the Southern Ocean. On average, the model tends to

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18

Boyd, Philip W., David Antoine, Kimberley Baldry, et al. "Controls on Polar Southern Ocean Deep Chlorophyll Maxima: Viewpoints From Multiple Observational Platforms." Global Biogeochemical Cycles 38, no. 3 (2024). http://dx.doi.org/10.1029/2023gb008033.

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AbstractDeep Chlorophyll Maxima (DCMs) are ubiquitous in low‐latitude oceans, and of recognized biogeochemical and ecological importance. DCMs have been observed in the Southern Ocean, initially from ships and recently from profiling robotic floats, but with less understanding of their onset, duration, underlying drivers, or whether they are associated with enhanced biomass features. We report the characteristics of a DCM and a Deep Biomass Maximum (DBM) in the Inter‐Polar‐Frontal‐Zone (IPFZ) south of Australia derived from CTD profiles, shipboard‐incubated samples, a towbody, and a BGC‐ARGO f

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19

Cornec, Marin, and Andrea J. Fassbender. "Accounting for Horizontal Tracer Gradients in Biological Productivity Estimates From Semi‐Lagrangian Platforms." Journal of Geophysical Research: Oceans 130, no. 3 (2025). https://doi.org/10.1029/2024jc021628.

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AbstractMarine net community production (NCP), a metric of ecosystem functionality, is often estimated as the residual term in a mass balance equation that aims to describe upper ocean variations in the time series of a chemical tracer. The advent of biogeochemical (BGC) Argo profiling floats equipped with nitrate, pH, and oxygen sensors has enabled such NCP estimation across vast ocean regions. Floats typically drift at 1,000 m depth between profiling from ∼2,000 m to the surface every 10 days, resulting in quasi‐Lagrangian time series that can reflect different upper ocean water masses over

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20

Petit, Flavien, Julia Uitz, Catherine Schmechtig, et al. "Influence of the phytoplankton community composition on the in situ fluorescence signal: Implication for an improved estimation of the chlorophyll-a concentration from BioGeoChemical-Argo profiling floats." Frontiers in Marine Science 9 (September 21, 2022). http://dx.doi.org/10.3389/fmars.2022.959131.

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In-situ fluorescence is a widely used method to estimate the chlorophyll-a (Chla) concentration, a proxy of the phytoplankton biomass. With the emergence of autonomous platforms such as BioGeoChemical-Argo (BGC-Argo) profiling floats, its use has expanded to global scale observations. However, the relationship between in-situ fluorescence and Chla may vary significantly, leading to major discrepancies between oceanic regions. This study aims to investigate the main sources of the natural variability in the in-situ fluorescence signal in the global open ocean, specifically the influence of the

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21

Li, Juan, David Antoine, and Yannick Huot. "Bio-optical variability of particulate matter in the Southern Ocean." Frontiers in Marine Science 11 (October 23, 2024). http://dx.doi.org/10.3389/fmars.2024.1466037.

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The composition and size distribution of particles in the ocean control their optical (scattering and absorption) properties, as well as a range of biogeochemical and ecological processes. Therefore, they provide important information about the pelagic ocean ecosystem’s structure and functioning, which can be used to assess primary production, particle sinking, and carbon sequestration. Due to its harsh environment and remoteness, the particulate bio-optical properties of the Southern Ocean (SO) remain poorly observed and understood. Here, we combined field measurements from hydrographic casts

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