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Registros recuperados: 36
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Coherent heat patterns revealed by unsupervised classification of Argo temperature profiles in the North Atlantic Ocean ArchiMer
Maze, Guillaume; Mercier, Herle; Fablet, Ronan; Tandeo, Pierre; Radcenco, Manuel Lopez; Lenca, Philippe; Feucher, Charlene; Le Goff, Clement.
A quantitative understanding of the integrated ocean heat content depends on our ability to determine how heat is distributed in the ocean and what are the associated coherent patterns. This study demonstrates how this can be achieved using unsupervised classification of Argo temperature profiles. The classification method used is a Gaussian Mixture Model (GMM) that decomposes the Probability Density Function of a dataset into a weighted sum of Gaussian modes. It is determined that the North Atlantic Argo dataset of temperature profiles con- tains 8 groups of vertically coherent heat patterns, or classes. Each of the temperature profile classes reveals unique and physically coherent heat distributions along the vertical axis. A key result of this study is...
Tipo: Text Palavras-chave: Heat content; Classification North Atlantic; Stratification; Water mass; Thermocline; Argo; Pattern.
Ano: 2017 URL: http://archimer.ifremer.fr/doc/00363/47431/47456.pdf
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DBCP Drifting Buoys GDAC data management report 2018 ArchiMer
Carval, Thierry; Ouellet, Mathieu; Gaboury, Isabelle; Emzivat, Gilbert.
This report covers the activity of Drifting Data Buoys Global Data Assembly Centre (DDB GDAC) published for Data Buoy Cooperation Panel (DBCP) Thirty Fourth Session.
Tipo: Text Palavras-chave: Argo.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00460/57198/59168.pdf
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Combining Argo profiles with a general circulation model in the North Atlantic. Part 1: Estimation of hydrographic and circulation anomalies from synthetic profiles, over a year ArchiMer
Forget, Gael; Ferron, Bruno; Mercier, Herle.
Argo is a global array of profiling floats that provides temperature (T) and salinity (S) profiles from 2000 m to the surface every ten days with a nominal spatial resolution of 3 degrees. Here we present idealized experiments where the adjoint method is used to synthesize simulated sets of Argo profiles with a general circulation model, over a one-year period, in the North Atlantic. Using a number of drifting profilers consistent with Argo deployment objectives, the simulated array permits one to identify large-scale anomalies in the hydrography and circulation, despite the presence of a simulated eddy noise of large amplitude. Model dynamics provide an objective means to distinguish eddy noise from large-scale oceanic variability, and to infer the...
Tipo: Text Palavras-chave: General circulation model; Argo; Twin experiment; 4DVAR; Data assimilation.
Ano: 2008 URL: http://archimer.ifremer.fr/doc/2008/publication-3721.pdf
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Argo data management report 2020, Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine.
This report covers the activity of Coriolis data centre for a one-year period from July 1st 2018 to August 31th 2019.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00658/77033/78332.pdf
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Machine Learning applied to Argo floats temperature and salinity Delayed-Mode Quality Control (Core-Argo DMQC) ArchiMer
Le Guen, Robin.
This document is the synthesis of a study to apply Machine Learning to Argo floats temperature and salinity Delayed Mode Quality Control (Core-Argo-DMQC). There already exist numerous DMQC tests. Most of the times they are specific to a particular type of problem with an Argo profile or an Argo measure. For example, there are tests to detect drifts, other tests to detect spikes, others for thermal lags and so on … To get a clean database, all the alerts generated by those tests sum up and analysts need to study the corresponding profiles. The aim of our study is to try to use Machine Learning to detect any kind of problem with Argo profiles and reduce the amount of time and work for the analysts. The model can be upgraded in many ways but it already gets...
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00632/74394/74090.pdf
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Argo data management report 2014. Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine; Cabanes, Cecile.
This report covers the activity of Coriolis data centre for a one year period from October 1st 2013 to September 30th 2014.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00221/33248/31724.pdf
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Argo data management report 2018, Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine; Cancouet, Romain.
This report covers the activity of Coriolis data centre for a one-year period from November 1st 2017 to October 31th 2018.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00469/58109/60529.pdf
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Argo: The Challenge of Continuing 10 Years of Progress ArchiMer
Roemmich, Dean; Belbéoc, Mathieu; Freeland, Howard; Garzoli, Sylvia; Gould, John; Grant, Fiona; Ignaszewski, Mark; King, Brian; Klein, Birgit; Le Traon, Pierre-yves; Mork, Kjell Arne; Brechner Owens, W; Pouliquen, Sylvie; Ravichandran, Muthalagu; Riser, Stephen; Sterl, Andreas; Suga, Toshio; Suk, Moon-sik; Sutton, Philip; Thierry, Virginie.
The Global Ocean Data Assimilation Experiment (GODAE [http://www.godae.org]) has spanned a decade of rapid technological development. The ever-increasing volume and diversity of oceanographic data produced by in situ instruments, remote-sensing platforms, and computer simulations have driven the development of a number of innovative technologies that are essential for connecting scientists with the data that they need. This paper gives an overview of the technologies that have been developed and applied in the course of GODAE, which now provides users of oceanographic data with the capability to discover, evaluate, visualize, download, and analyze data from all over the world. The key to this capability is the ability to reduce the inherent complexity of...
Tipo: Text Palavras-chave: GODAE; Argo; Global ocean observing system; Ocean data assimilation.
Ano: 2009 URL: http://archimer.ifremer.fr/doc/00059/17003/14505.pdf
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Bio-Argo quality control manual for the Chlorophyll-A concentration ArchiMer
Schmechtig, Catherine; Claustre, Herve; Poteau, Antoine; D'Ortenzio, Fabrizio.
This document is the bio-Argo quality control manual for Chlorophyll A concentration. It describes the method used in real-time to apply quality control flags to Chlorophyll A concentration calculated from specific sensors mounted on Argo profiling floats.
Tipo: Text Palavras-chave: Argo; Physical oceanography; In-situ marine data; Profiling floats; Chlorophyll; Operational oceanography; Biogeochemistry.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00243/35385/60181.pdf
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Water Mass and Biogeochemical Variability in the Kerguelen Sector of the Southern Ocean: A Machine Learning Approach for a Mixing Hotspot ArchiMer
Rosso, Isabella; Mazloff, Matthew R.; Talley, Lynne D.; Purkey, Sarah G.; Freeman, Natalie M.; Maze, Guillaume.
The Southern Ocean (SO) is one of the most energetic regions in the world, where strong air‐sea fluxes, oceanic instabilities, and flow‐topography interactions yield complex dynamics. The Kerguelen Plateau (KP) region in the Indian sector of the SO is a hotspot for these energetic dynamics, which result in large spatio‐temporal variability of physical and biogeochemical (BGC) properties throughout the water column. Data from Argo floats (including biogeochemical) are used to investigate the spatial variability of intermediate and deep water physical and BGC properties. An unsupervised machine learning classification approach is used to organize the float profiles into five SO frontal zones based on their temperature and salinity structure between 300 and...
Tipo: Text Palavras-chave: Southern Ocean; Kerguelen Plateau; Argo; Unsupervised clustering; Machine learning.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00613/72471/71438.pdf
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Argo data management report 2016. Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine.
This report covers the activity of Coriolis data centre for a one-year period from September 1st 2015 to August 31th 2016.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2016 URL: http://archimer.ifremer.fr/doc/00350/46128/45867.pdf
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Argo data management report 2015. Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine.
This report covers the activity of Coriolis data centre for a one year period from October 1st 2014 to September 30th 2015.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2015 URL: http://archimer.ifremer.fr/doc/00286/39749/38309.pdf
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SCOR WG 142: Quality Control Procedures for Oxygen and Other Biogeochemical Sensors on Floats and Gliders. Recommendation for oxygen measurements from Argo floats, implementation of in-air-measurement routine to assure highest long-term accuracy ArchiMer
Bittig, Henry; Kortzinger, Arne; Johnson, Ken; Claustre, Hervé; Emerson, Steve; Fennel, Katja; Garcia, Hernan; Gilbert, Denis; Gruber, Nicolas; Kang, Dong-jin; Naqvi, Wajih; Prakash, Satya; Riser, Steven; Thierry, Virginie; Tilbrook, Bronte; Uchida, Hiroshi; Ulloa, Osvaldo; Xing, Xiagang.
Recommendation for Oxygen Measurements from Argo Floats: Implementation of In-Air-Measurement Routine to Assure Highest Long-term Accuracy As Argo has entered its second decade and chemical/biological sensor technology is improving constantly, the marine biogeochemistry community is starting to embrace the successful Argo float program. An augmentation of the global float observatory, however, has to follow rather stringent constraints regarding sensor characteristics as well as data processing and quality control routines. Owing to the fairly advanced state of oxygen sensor technology and the high scientific value of oceanic oxygen measurements (Gruber et al., 2010), an expansion of the Argo core mission to routine oxygen measurements is perhaps the most...
Tipo: Text Palavras-chave: Argo; Bio-argo; Oxygen.
Ano: 2015 URL: http://archimer.ifremer.fr/doc/00348/45917/46180.pdf
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Subtropical Mode Waters and Permanent Pycnocline properties in the World Ocean ArchiMer
Feucher, Charlene; Maze, Guillaume; Mercier, Herle.
A global reference state of the subtropical mode waters and permanent pycnoclines properties for the 2000‐2015 period is presented. The climatology is obtained from a pattern recognition algorithm applied to stratification profiles from the Argo global array. The stratification features are identified as permanent upper ocean pycnostad and pycnocline even when the seasonal pycnocline is developed. The climatology shows that both Northern Hemisphere subtropical gyres have a qualitatively very similar stratification structure. The permanent pycnocline in the North Atlantic and North Pacific show two deep centers colocated with thick subtropical and subpolar mode waters. These centers coincide with modes in the density and stratification space. These deep...
Tipo: Text Palavras-chave: Subtropical gyre; Pycnocline; Argo; Global ocean; Stratification.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00480/59176/61817.pdf
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Argo Data 1999–2019: Two Million Temperature-Salinity Profiles and Subsurface Velocity Observations From a Global Array of Profiling Floats ArchiMer
Wong, Annie P. S.; Wijffels, Susan E.; Riser, Stephen C.; Pouliquen, Sylvie; Hosoda, Shigeki; Roemmich, Dean; Gilson, John; Johnson, Gregory C.; Martini, Kim; Murphy, David J.; Scanderbeg, Megan; Bhaskar, T. V. S. Udaya; Buck, Justin J. H.; Merceur, Frederic; Carval, Thierry; Maze, Guillaume; Cabanes, Cécile; André, Xavier; Poffa, Noe; Yashayaev, Igor; Barker, Paul M.; Guinehut, Stéphanie; Belbéoch, Mathieu; Ignaszewski, Mark; Baringer, Molly O'Neil; Schmid, Claudia; Lyman, John M.; Mctaggart, Kristene E.; Purkey, Sarah G.; Zilberman, Nathalie; Alkire, Matthew B.; Swift, Dana; Owens, W. Brechner; Jayne, Steven R.; Hersh, Cora; Robbins, Pelle; West-mack, Deb; Bahr, Frank; Yoshida, Sachiko; Sutton, Philip J. H.; Cancouët, Romain; Coatanoan, Christine; Dobbler, Delphine; Juan, Andrea Garcia; Gourrion, Jerome; Kolodziejczyk, Nicolas; Bernard, Vincent; Bourlès, Bernard; Claustre, Hervé; D'Ortenzio, Fabrizio; Le Reste, Serge; Le Traon, Pierre-yves; Rannou, Jean Philippe; Saout-grit, Carole; Speich, Sabrina; Thierry, Virginie; Verbrugge, Nathalie; Angel-benavides, Ingrid M.; Klein, Birgit; Notarstefano, Giulio; Poulain, Pierre-marie; Vélez-belchí, Pedro; Suga, Toshio; Ando, Kentaro; Iwasaska, Naoto; Kobayashi, Taiyo; Masuda, Shuhei; Oka, Eitarou; Sato, Kanako; Nakamura, Tomoaki; Sato, Katsunari; Takatsuki, Yasushi; Yoshida, Takashi; Cowley, Rebecca; Lovell, Jenny L.; Oke, Peter R.; Van Wijk, Esmee M.; Carse, Fiona; Donnelly, Matthew; Gould, W. John; Gowers, Katie; King, Brian A.; Loch, Stephen G.; Mowat, Mary; Turton, Jon; Rama Rao, E. Pattabhi; Ravichandran, M.; Freeland, Howard J.; Gaboury, Isabelle; Gilbert, Denis; Greenan, Blair J. W.; Ouellet, Mathieu; Ross, Tetjana; Tran, Anh; Dong, Mingmei; Liu, Zenghong; Xu, Jianping; Kang, Kiryong; Jo, Hyeongjun; Kim, Sung-dae; Park, Hyuk-min.
In the past two decades, the Argo Program has collected, processed, and distributed over two million vertical profiles of temperature and salinity from the upper two kilometers of the global ocean. A similar number of subsurface velocity observations near 1,000 dbar have also been collected. This paper recounts the history of the global Argo Program, from its aspiration arising out of the World Ocean Circulation Experiment, to the development and implementation of its instrumentation and telecommunication systems, and the various technical problems encountered. We describe the Argo data system and its quality control procedures, and the gradual changes in the vertical resolution and spatial coverage of Argo data from 1999 to 2019. The accuracies of the...
Tipo: Text Palavras-chave: Global; Ocean; Pressure; Temperature; Salinity; Argo; Profiling; Floats.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00652/76377/77385.pdf
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Processing BGC-Argo Radiometric data at the DAC level ArchiMer
Schmechtig, Catherine; Poteau, Antoine; Claustre, Herve; D’ortenzio, Fabrizio.
Presently, radiometers can be implemented on profiling floats to estimate some radiometric measurements. Hereafter we briefly describe the principle of this method and several configurations of the OCR500 series instruments. These measurements can be radiance or irradiance at different wavelengths and in different directions (upward or downward). The Photosynthetically Available Radiation (PAR) is also measured as it represents the solar radiation that photosynthetic organisms are able to use in the process of photosynthesis. At the moment all radiometric sensors implemented on floats are developed by the Satlantic Company and are of the OCR serie. These radiometers combine three wavelengths for irradiance measurements together with a measurement of the...
Tipo: Text Palavras-chave: Argo; Bgc-argo; Optic.
Ano: 2017 URL: http://archimer.ifremer.fr/doc/00404/51541/52133.pdf
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Sea-ice detection for autonomous underwater vehicles and oceanographic lagrangian platforms by continuous-wave laser polarimetry ArchiMer
Lagunas, Jose; Marec, Claudie; Leymarie, Edouard; Penkerc'H, Christophe; Rehm, Eric; Desaulniers, Pierre; Brousseau, Denis; Larochelle, Patrick; Roy, Gilles; Fournier, Georges; Thibault, Simon; Babin, Marcel.
The use of Lagrangian platforms and of Autonomous Underwater Vehicles (AUVs) in oceanography has increased rapidly over the last decade along with the development of improved biological and chemical sensors. These vehicles provide new spatial and temporal scales for observational studies of the ocean. They offer a broad range of deployment and recovery capabilities that reduce the need of large research vessels. This is especially true for ice-covered Arctic ocean where surface navigation is only possible during the summer period. Moreover, safe underwater navigation in icy waters requires the capability of detecting sea ice on the surface (ice sheets). AUVs navigating in such conditions risk collisions, RF communication shadowing, and being trapped by ice...
Tipo: Text Palavras-chave: Lidar; Polarization; Sea-ice; AUV; Argo; Arctic; Amundsen; Marine robotics.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00475/58665/61166.pdf
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Interannual variability of upper ocean water masses as inferred from Argo Array ArchiMer
Kolodziejczyk, Nicolas; Llovel, William; Portela, Esther.
nterannual variability of Ocean Heat Content (OHC) is intimately linked to ocean water mass changes. Water mass characteristics are imprinted at the ocean surface and are modulated by climate variability on interannual to decadal time scales. In this study, we investigate the water mass change and their variability using an isopycnal decomposition of the OHC. For that purpose, we address the thickness and temperature changes of these water masses using both individual temperature‐salinity profiles and optimal interpolated products from Argo data. Isopycnal decomposition allows us to characterize the water masses interannual variability and decadal trends of volume and OHC. During the last decade (2006–2015), much of interannual and decadal warming is...
Tipo: Text Palavras-chave: Water masses; Ocean heat content; Interannual variability; Argo; Mode water; Atmospheric forcing.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00510/62128/66340.pdf
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Argo data management report 2019, Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine.
This report covers the activity of Coriolis data centre for a one-year period from July 1st 2018 to August 31th 2019.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00585/69679/67547.pdf
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BGC Argo quality control manual for particles backscattering ArchiMer
Schmechtig, Catherine; Boss, Emmanuel; Briggs, Nathan; Claustre, Herve; Dall'Olmo, Giorgio; Poteau, Antoine.
This document is the BGC-Argo quality control manual for particles backscattering. It describes the method used in real-time to apply quality control flags to particles backscattering calculated from specific sensors mounted on Argo profiling floats.
Tipo: Text Palavras-chave: Argo; Physical oceanography; In-situ marine data; Profiling floats; Bbp; Operational oceanography; Biogeochemistry.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00491/60262/63668.pdf
Registros recuperados: 36
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