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Literatura académica sobre el tema "BioGeoChemical-Argo (BGC-Argo) floats"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "BioGeoChemical-Argo (BGC-Argo) floats"

Ford, David. "Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design." Biogeosciences 18, no. 2 (2021): 509–34. http://dx.doi.org/10.5194/bg-18-509-2021.

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Abstract. A set of observing system simulation experiments was performed. This assessed the impact on global ocean biogeochemical reanalyses of assimilating chlorophyll from remotely sensed ocean colour and in situ observations of chlorophyll, nitrate, oxygen, and pH from a proposed array of Biogeochemical-Argo (BGC-Argo) floats. Two potential BGC-Argo array distributions were tested: one for which biogeochemical sensors are placed on all current Argo floats and one for which biogeochemical sensors are placed on a quarter of current Argo floats. Assimilating BGC-Argo data greatly improved mode

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Izett, Robert W., Katja Fennel, Adam C. Stoer, and David P. Nicholson. "Reviews and syntheses: expanding the global coverage of gross primary production and net community production measurements using Biogeochemical-Argo floats." Biogeosciences 21, no. 1 (2024): 13–47. http://dx.doi.org/10.5194/bg-21-13-2024.

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Abstract. This paper provides an overview and demonstration of emerging float-based methods for quantifying gross primary production (GPP) and net community production (NCP) using Biogeochemical-Argo (BGC-Argo) float data. Recent publications have described GPP methods that are based on the detection of diurnal oscillations in upper-ocean oxygen or particulate organic carbon concentrations using single profilers or a composite of BGC-Argo floats. NCP methods rely on budget calculations to partition observed tracer variations into physical or biological processes occurring over timescales great

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Teruzzi, Anna, Giorgio Bolzon, Laura Feudale, and Gianpiero Cossarini. "Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment." Biogeosciences 18, no. 23 (2021): 6147–66. http://dx.doi.org/10.5194/bg-18-6147-2021.

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Abstract. Data assimilation has led to advancements in biogeochemical modelling and scientific understanding of the ocean. The recent operational availability of data from BGC-Argo (biogeochemical Argo) floats, which provide valuable insights into key vertical biogeochemical processes, stands to further improve biogeochemical modelling through assimilation schemes that include float observations in addition to traditionally assimilated satellite data. In the present work, we demonstrate the feasibility of joint multi-platform assimilation in realistic biogeochemical applications by presenting

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Amadio, Carolina, Anna Teruzzi, Gloria Pietropolli, Luca Manzoni, Gianluca Coidessa, and Gianpiero Cossarini. "Combining neural networks and data assimilation to enhance the spatial impact of Argo floats in the Copernicus Mediterranean biogeochemical model." Ocean Science 20, no. 3 (2024): 689–710. http://dx.doi.org/10.5194/os-20-689-2024.

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Abstract. Biogeochemical-Argo (BGC-Argo) float profiles provide substantial information on key vertical biogeochemical dynamics and have been successfully integrated in biogeochemical models via data assimilation approaches. Although BGC-Argo assimilation results have been encouraging, data scarcity remains a limitation with respect to their effective use in operational oceanography. To address availability gaps in the BGC-Argo profiles, an observing system experiment (OSE) that combines a neural network (NN) and data assimilation (DA) was performed here. A NN was used to reconstruct nitrate p

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Mignot, Alexandre, Hervé Claustre, Gianpiero Cossarini, et al. "Using machine learning and Biogeochemical-Argo (BGC-Argo) floats to assess biogeochemical models and optimize observing system design." Biogeosciences 20, no. 7 (2023): 1405–22. http://dx.doi.org/10.5194/bg-20-1405-2023.

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Abstract. Numerical models of ocean biogeochemistry are becoming the major tools used to detect and predict the impact of climate change on marine resources and to monitor ocean health. However, with the continuous improvement of model structure and spatial resolution, incorporation of these additional degrees of freedom into fidelity assessment has become increasingly challenging. Here, we propose a new method to provide information on the model predictive skill in a concise way. The method is based on the conjoint use of a k-means clustering technique, assessment metrics, and Biogeochemical-

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Wang, Bin, Katja Fennel, and Liuqian Yu. "Can assimilation of satellite observations improve subsurface biological properties in a numerical model? A case study for the Gulf of Mexico." Ocean Science 17, no. 4 (2021): 1141–56. http://dx.doi.org/10.5194/os-17-1141-2021.

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Abstract. Given current threats to ocean ecosystem health, there is a growing demand for accurate biogeochemical hindcasts, nowcasts, and predictions. Provision of such products requires data assimilation, i.e., a comprehensive strategy for incorporating observations into biogeochemical models, but current data streams of biogeochemical observations are generally considered insufficient for the operational provision of such products. This study investigates to what degree the assimilation of satellite observations in combination with a priori model calibration by sparse BGC-Argo profiles can i

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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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Terzić, Elena, Paolo Lazzari, Emanuele Organelli, et al. "Merging bio-optical data from Biogeochemical-Argo floats and models in marine biogeochemistry." Biogeosciences 16, no. 12 (2019): 2527–42. http://dx.doi.org/10.5194/bg-16-2527-2019.

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Abstract. New autonomous robotic platforms for observing the ocean, i.e. Biogeochemical-Argo (BGC-Argo) floats, have drastically increased the number of vertical profiles of irradiance, photosynthetically available radiation (PAR), and algal chlorophyll concentrations around the globe independent of the season. Such data may therefore be a fruitful resource to improve performances of numerical models for marine biogeochemistry. Here we present a work that integrates 1314 vertical profiles of PAR acquired by 31 BGC-Argo floats operated in the Mediterranean Sea between 2012 and 2016 into a one-d

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Shu, Chan, Peng Xiu, Xiaogang Xing, et al. "Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea." Remote Sensing 14, no. 5 (2022): 1297. http://dx.doi.org/10.3390/rs14051297.

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Marine biogeochemical models have been widely used to understand ecosystem dynamics and biogeochemical cycles. To resolve more processes, models typically increase in complexity, and require optimization of more parameters. Data assimilation is an essential tool for parameter optimization, which can reduce model uncertainty and improve model predictability. At present, model parameters are often adjusted using sporadic in-situ measurements or satellite-derived total chlorophyll-a concentration at sea surface. However, new ocean datasets and satellite products have become available, providing a

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Germineaud, Cyril, Jean-Michel Brankart, and Pierre Brasseur. "An Ensemble-Based Probabilistic Score Approach to Compare Observation Scenarios: An Application to Biogeochemical-Argo Deployments." Journal of Atmospheric and Oceanic Technology 36, no. 12 (2019): 2307–26. http://dx.doi.org/10.1175/jtech-d-19-0002.1.

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AbstractA cross-validation algorithm is developed to perform probabilistic observing system simulation experiments (OSSEs). The use of a probability distribution of “true” states is considered rather than a single “truth” using a cross-validation algorithm in which each member of an ensemble simulation is alternatively used as the “truth” and to simulate synthetic observation data that reflect the observing system to be evaluated. The other available members are used to produce an updated ensemble by assimilating the specific data, while a probabilistic evaluation of the observation impacts is

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Tesis sobre el tema "BioGeoChemical-Argo (BGC-Argo) floats"

Terrats, Louis. "Le flux de carbone particulaire et le lien avec la communauté phytoplanctonique : une approche par flotteurs-profileurs biogéochimiques." Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS550.pdf.

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L'Océan est un acteur majeur du climat en échangeant avec l'atmosphère de grandes quantités de carbone. Le carbone atmosphérique est fixé à la surface de l’océan par le phytoplancton qui le transforme en carbone biogène, dont une partie est transportée vers l’océan profond par des mécanismes physiques et biologiques; il s’agit de la Pompe Biologique de Carbone (BCP). Une infime partie de ce carbone biogène atteindra des profondeurs suffisantes pour être séquestré durant plusieurs siècles avant qu'il ne retourne dans l'atmosphère, régulant les concentrations atmosphériques de CO2. Aujourd'hui,

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Informes sobre el tema "BioGeoChemical-Argo (BGC-Argo) floats"

Cossarini, Gianpiero. Results of the BGC data assimilation. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.10.

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This document presents the results of simulations that include glider profiles assimilation. Simulations are performed with the Marine Copernicus operational biogeochemical model system of the Mediterranean Sea. The deliverable shows that the assimilation of BGC-glider is feasible in the contest of biogeochemical operational systems and that it is built upon the experience of BGC-Argo float data assimilation. Different configuration of the assimilation of glider data have been tested to assess the impact of the physical and biogeochemical glider observations. The deliverable also describes the

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Fourrier, Marine. Integration of in situ and satellite multi-platform data (estimation of carbon flux for trop. Atlantic). EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d7.6.

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This report presents the results of task 7.3 on “Quantification of improvements in carbon flux data for the tropical Atlantic based on the multi-platform and neural network approach”. To better constrain changes in the ocean’s capture and sequestration of CO2 emitted by human activities, in situ measurements are needed. Tropical regions are considered to be mostly sources of CO2 to the atmosphere due to specific circulation features, with large interannual variability mainly controlled by physical drivers (Padin et al., 2010). The tropical Atlantic is the second largest source, after the tropi

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