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DMQC Cookbook for Core Argo parameters ArchiMer
Cabanes, Cecile; Angel-benavides, Ingrid; Buck, Justin; Coatanoan, Christine; Dobler, Delphine; Herbert, Gaelle; Klein, Birgit; Maze, Guillaume; Notarstefano, Guilio; Owens, Breck; Thierry, Virginie; Walicka, Kamila; Wong, Annie.
This cookbook is to document the end-to-end processing chain of Delayed Mode Quality Control (DMQC) of Core Argo parameters. It provides guidlines on existing manuals, and explains best practices through case studies. This document was initiated after the 1st EU DMQC workshop held in Brest in April 2018, under the MOCCA project.  Lately, this work has been undertaken under EuroArgo RISE project. The document is organized as follows.The first part gives some general information (e.g.: How to check quality indicators in delayed mode? What are the reference databases? How to correct pressure? How to use the OWC software to correct salinity? What are the common failures? etc.). The second part gives more specific information for the regional analysis (specific...
Tipo: Text
Ano: 2021 URL: https://archimer.ifremer.fr/doc/00678/78994/82152.pdf
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Fifteen years of ocean observations with the global Argo array ArchiMer
Riser, Stephen C.; Freeland, Howard J.; Roemmich, Dean; Wijffels, Susan; Troisi, Ariel; Belbeoch, Mathieu; Gilbert, Denis; Xu, Jianping; Pouliquen, Sylvie; Ann Thresher,; Le Traon, Pierre-yves; Maze, Guillaume; Klein, Birgit; Ravichandran, M.; Grant, Fiona; Poulain, Pierre-marie; Suga, Toshio; Lim, Byunghwan; Sterl, Andreas; Sutton, Philip; Mork, Kjell-arne; Joaquin Velez-belch, Pedro; Ansorge, Isabelle; King, Brian; Turton, Jon; Baringer, Molly; Jayne, Steven R..
More than 90% of the heat energy accumulation in the climate system between 1971 and the present has been in the ocean. Thus, the ocean plays a crucial role in determining the climate of the planet. Observing the oceans is problematic even under the most favourable of conditions. Historically, shipboard ocean sampling has left vast expanses, particularly in the Southern Ocean, unobserved for long periods of time. Within the past 15 years, with the advent of the global Argo array of pro ling oats, it has become possible to sample the upper 2,000 m of the ocean globally and uniformly in space and time. The primary goal of Argo is to create a systematic global network of pro ling oats that can be integrated with other elements of the Global Ocean Observing...
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Ano: 2016 URL: https://archimer.ifremer.fr/doc/00310/42106/46565.pdf
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ARGO - a decade of progress ArchiMer
Freeland, Howard J.; Roemmich, Dean; Garzoli, Silvia L.; Le Traon, Pierre-yves; Ravichandran, Muthalagu; Riser, Stephen; Thierry, Virginie; Wijffels, Susan; Belbéoch, Mathieu; Gould, John; Grant, Fiona; Ignazewski, Mark; King, Brian; Klein, Birgit; Mork, Kjell Arne; Owens, Breck; Pouliquen, Sylvie; Sterl, Andreas; Suga, Toshio; Suk, Moon-sik; Sutton, Philip; Troisi, Ariel; Vélez-belchi, Pedro Joaquin; Xu, Jianping.
Tipo: Text
Ano: 2010 URL: http://archimer.ifremer.fr/doc/00029/14038/11231.pdf
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Caracterization de las trypsinas y amilasas de Penaeus vannamei (crustacea decapoda) : adaptacion a la composicion deln regimen alimenticio ArchiMer
Van Wormhoudt, Alain; Le Moullac, Gilles; Klein, Birgit; Sellos, Daniel.
Las tripsinas, entre las proteasas, y las amilasas, entre las carbohidrasas, son las enzimas más activas en Penaeus vannamei, un camarón de interés comercial, especialmente en Latinoamérica. Estas enzimas y sus cDNAS fueron caracterizados. En lo que respecta a las tripsinas, se reconocieron cinco isoformas y se analizaron sus cDNAs correspondientes, los cuales codifican una preproenzima de 225 aminoácidos conteniendo un supuesto precursor peptídico de 14 residuos y una secuencia señal altamente hidrofobica de 14 aminoácidos. Dentro de la secuencia del zimogeno, se detectaron algunos sitios autocatalíticos (Int. J. Biochem. Cell Biol. 1996, 28, 551-563). Con respecto a las amilasas, dos isoformas fueron purificadas y caracterizadas; se hizo una selección en...
Tipo: Text
Ano: 1999 URL: http://archimer.ifremer.fr/doc/00176/28726/27183.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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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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Argo DAC profile cookbook ArchiMer
Scanderbeg, Megan; Rannou, Jean-philippe; Wong, Annie; Klein, Birgit; Schmid, Claudia; King, Brian; Van Wijk, Esmee.
This DAC cookbook is to include instructions for the DACs on how to calculate different variables for the Argo profile files. This is especially true for some of the additional sensors that are being added to Argo floats. The extra variables increase the complexity of the profile file and extra instructions may be necessary, depending on float and sensor type. It is separate from other data manuals because users do not need to understand all these details, but that it is important that all DACs to be calculating the variables in the same manner. There are instructions in this cookbook that apply to all floats and some that apply to only certain float types. Look through the table of contents for the specific float types included.
Tipo: Text
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00300/41151/66479.pdf
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