Buck Justin J. H.

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Buck
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Justin J. H.
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  • Article
    Argo data 1999-2019: two million temperature-salinity profiles and subsurface velocity observations from a global array of profiling floats.
    (Frontiers Media, 2020-09-15) Wong, Annie P. S. ; Wijffels, Susan E. ; Riser, Stephen C. ; Pouliquen, Sylvie ; Hosoda, Shigeki ; Roemmich, Dean ; Gilson, John ; Johnson, Gregory C. ; Martini, Kim I. ; Murphy, David J. ; Scanderbeg, Megan ; Udaya Bhaskar, T. V. S. ; Buck, Justin J. H. ; Merceur, Frederic ; Carval, Thierry ; Maze, Guillaume ; Cabanes, Cécile ; André, Xavier ; Poffa, Noé ; Yashayaev, Igor ; Barker, Paul M. ; Guinehut, Stéphanie ; Belbeoch, Mathieu ; Ignaszewski, Mark ; Baringer, Molly O. ; Schmid, Claudia ; Lyman, John ; McTaggart, Kristene E. ; Purkey, Sarah G. ; Zilberman, Nathalie ; Alkire, Matthew ; Swift, Dana ; Owens, W. Brechner ; Jayne, Steven R. ; Hersh, Cora ; Robbins, Pelle E. ; West-Mack, Deb ; Bahr, Frank B. ; Yoshida, Sachiko ; Sutton, Philip J. H. ; Cancouët, Romain ; Coatanoan, Christine ; Dobbler, Delphine ; Garcia Juan, Andrea ; Gourrion, Jérôme ; 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 ; van Wijk, Esmee ; Carse, Fiona ; Donnelly, Matthew ; Gould, W. John ; Gowers, Katie ; King, Brian A. ; Loch, Stephen G. ; Mowat, Mary ; Turton, Jon ; Pattabhi Rama Rao, Eluri ; Ravichandran, M. ; Freeland, Howard ; 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 float data have been assessed by comparison with high-quality shipboard measurements, and are concluded to be 0.002°C for temperature, 2.4 dbar for pressure, and 0.01 PSS-78 for salinity, after delayed-mode adjustments. Finally, the challenges faced by the vision of an expanding Argo Program beyond 2020 are discussed.
  • Working Paper
    NSF EarthCube Workshop for Shipboard Ocean Time Series Data Meeting Report
    (Woods Hole Oceanographic Institution, 2020-02) Benway, Heather M. ; Buck, Justin J. H. ; Fujieki, Lance ; Kinkade, Danie ; Lorenzoni, Laura ; Schildhauer, Mark ; Shepherd, Adam ; White, Angelicque
    Prior to the OceanObs’19 Meeting, the Ocean Carbon and Biogeochemistry (OCB) Project Office planned and hosted an NSF EarthCube Workshop focused on shipboard ocean time series data (https://www.us-ocb.org/earthcube-workshop-ocean-time-series-data/). Data synthesis and modeling efforts across ocean time series represent important and necessary steps forward in broadening our view of a changing ocean, and maximizing the return on our continued investment in these programs. Despite the scientific insights and technology advances of the past couple of decades, significant barriers remain that hinder important synthesis work across time series. This workshop convened 37 participants, including seagoing oceanographers, data managers, and experts in data science and informatics. The goal of the workshop was to identify key ocean time series data challenges related to access and discoverability, metadata reporting, interoperability across databases, and broadening users; and developing recommendations to address those challenges. The workshop adopted the FAIR (Findable, Accessible, Interoperable, Reusable; Wilkinson et al., 2016) Guiding Principles to frame these issues, and included presentations on existing data models and use of controlled vocabularies, guidelines and frameworks for conducting data synthesis and establishing community best practices, and existing and planned ocean time series data products.
  • Article
    Evolving and sustaining ocean best practices and standards for the next decade
    (Frontiers Media, 2019-06-04) Pearlman, Jay ; Bushnell, Mark ; Coppola, Laurent ; Karstensen, Johannes ; Buttigieg, Pier Luigi ; Pearlman, Francoise ; Simpson, Pauline ; Barbier, Michele ; Muller-Karger, Frank E. ; Munoz-Mas, Cristian ; Pissierssens, Peter ; Chandler, Cynthia L. ; Hermes, Juliet ; Heslop, Emma ; Jenkyns, Reyna ; Achterberg, Eric P. ; Bensi, Manuel ; Bittig, Henry C. ; Blandin, Jerome ; Bosch, Julie ; Bourles, Bernard ; Bozzano, Roberto ; Buck, Justin J. H. ; Burger, Eugene ; Cano, Daniel ; Cardin, Vanessa ; Llorens, Miguel Charcos ; Cianca, Andrés ; Chen, Hua ; Cusack, Caroline ; Delory, Eric ; Garello, Rene ; Giovanetti, Gabriele ; Harscoat, Valerie ; Hartman, Susan ; Heitsenrether, Robert ; Jirka, Simon ; Lara-Lopez, Ana ; Lantér, Nadine ; Leadbetter, Adam ; Manzella, Giuseppe ; Maso, Joan ; McCurdy, Andrea ; Moussat, Eric ; Ntoumas, Manolis ; Pensieri, Sara ; Petihakis, George ; Pinardi, Nadia ; Pouliquen, Sylvie ; Przeslawski, Rachel ; Roden, Nicholas P. ; Silke, Joe ; Tamburri, Mario N. ; Tang, Hairong ; Tanhua, Toste ; Telszewski, Maciej ; Testor, Pierre ; Thomas, Julie ; Waldmann, Christoph ; Whoriskey, Frederick G.
    The oceans play a key role in global issues such as climate change, food security, and human health. Given their vast dimensions and internal complexity, efficient monitoring and predicting of the planet’s ocean must be a collaborative effort of both regional and global scale. A first and foremost requirement for such collaborative ocean observing is the need to follow well-defined and reproducible methods across activities: from strategies for structuring observing systems, sensor deployment and usage, and the generation of data and information products, to ethical and governance aspects when executing ocean observing. To meet the urgent, planet-wide challenges we face, methods across all aspects of ocean observing should be broadly adopted by the ocean community and, where appropriate, should evolve into “Ocean Best Practices.” While many groups have created best practices, they are scattered across the Web or buried in local repositories and many have yet to be digitized. To reduce this fragmentation, we introduce a new open access, permanent, digital repository of best practices documentation (oceanbestpractices.org) that is part of the Ocean Best Practices System (OBPS). The new OBPS provides an opportunity space for the centralized and coordinated improvement of ocean observing methods. The OBPS repository employs user-friendly software to significantly improve discovery and access to methods. The software includes advanced semantic technologies for search capabilities to enhance repository operations. In addition to the repository, the OBPS also includes a peer reviewed journal research topic, a forum for community discussion and a training activity for use of best practices. Together, these components serve to realize a core objective of the OBPS, which is to enable the ocean community to create superior methods for every activity in ocean observing from research to operations to applications that are agreed upon and broadly adopted across communities. Using selected ocean observing examples, we show how the OBPS supports this objective. This paper lays out a future vision of ocean best practices and how OBPS will contribute to improving ocean observing in the decade to come.
  • Article
    Ocean FAIR data services
    (Frontiers Media, 2019-08-07) Tanhua, Toste ; Pouliquen, Sylvie ; Hausman, Jessica ; O’Brien, Kevin ; Bricher, Phillippa ; de Bruin, Taco ; Buck, Justin J. H. ; Burger, Eugene ; Carval, Thierry ; Casey, Kenneth S. ; Diggs, Stephen ; Giorgetti, Alessandra ; Glaves, Helen ; Harscoat, Valerie ; Kinkade, Danie ; Muelbert, Jose H. ; Novellino, Antonio ; Pfeil, Benjamin ; Pulsifer, Peter L. ; Van de Putte, Anton ; Robinson, Erin ; Schaap, Dick ; Smirnov, Alexander ; Smith, Neville ; Snowden, Derrick ; Spears, Tobias ; Stall, Shelley ; Tacoma, Marten ; Thijsse, Peter ; Tronstad, Stein ; Vandenberghe, Thomas ; Wengren, Micah ; Wyborn, Lesley ; Zhao, Zhiming
    Well-founded data management systems are of vital importance for ocean observing systems as they ensure that essential data are not only collected but also retained and made accessible for analysis and application by current and future users. Effective data management requires collaboration across activities including observations, metadata and data assembly, quality assurance and control (QA/QC), and data publication that enables local and interoperable discovery and access and secures archiving that guarantees long-term preservation. To achieve this, data should be findable, accessible, interoperable, and reusable (FAIR). Here, we outline how these principles apply to ocean data and illustrate them with a few examples. In recent decades, ocean data managers, in close collaboration with international organizations, have played an active role in the improvement of environmental data standardization, accessibility, and interoperability through different projects, enhancing access to observation data at all stages of the data life cycle and fostering the development of integrated services targeted to research, regulatory, and operational users. As ocean observing systems evolve and an increasing number of autonomous platforms and sensors are deployed, the volume and variety of data increase dramatically. For instance, there are more than 70 data catalogs that contain metadata records for the polar oceans, a situation that makes comprehensive data discovery beyond the capacity of most researchers. To better serve research, operational, and commercial users, more efficient turnaround of quality data in known formats and made available through Web services is necessary. In particular, automation of data workflows will be critical to reduce friction throughout the data value chain. Adhering to the FAIR principles with free, timely, and unrestricted access to ocean observation data is beneficial for the originators, has obvious benefits for users, and is an essential foundation for the development of new services made possible with big data technologies.