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    •   Repository OceanBestPractices
    • ⇒ IOC: Intergovernmental Oceanographic Commission. Except IODE
    • GOOS: Global Ocean Observing System
    • GOOS Methodology Documents
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    Deep Ocean Observing Strategy: Science and Implementation Guide.

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    PDF (Guide) (11.23Mb)
    PDF (Executive Summary) (1.447Mb)
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    Date
    2019
    Author
    Levin, L.
    Ruhl, H.
    Heimbach, P.
    McCurdy, A.
    Smith, L.
    Status
    Published
    Pages
    68pp.
    
    Metadata
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    Abstract
    1. Identify Essential Ocean Variables (EOVs) and evolve their specifications to fully consider deep-ocean perspectives across physical, biogeochemical, biological, and ecological variables over the next decade. This includes adding the deep-ocean perspective to existing Global Ocean Observing System (GOOS) EOVs and adding additional deep-ocean EOVs (Table 1). The development of these EOVs will improve understanding of the state of the deep ocean, characterize existing conditions, constrain the deep ocean state in ocean climate models, and quantify its response to climate variability and human disturbance. 2. Showcase the value of integrating deep-ocean observing efforts towards maturing capability and capacity, technology readiness, and deep-ocean data findability (discovery), accessibility, interoperability, and reusability (FAIR). Demonstration projects can help mature nascent platforms and sensors, develop strategies for global-scale deployment, and work to integrate .....
    Resource URL
    http://deepoceanobserving.org/reports/doosscience- and-implementation-guide/
    Publisher
    Deep Ocean Observing Strategy Project
    Paris, France
    Document Language
    en
    Sustainable Development Goals (SDG)
    14
    Best Practice Type
    Best Practice
    Guide
    Citation
    Levin, L.; Ruhl, H.; Heimbach, P.; McCurdy, A. and Smith, L. (2019) Deep Ocean Observing Strategy: Science and Implementation Guide. Paris, France, GOOS, Deep Ocean Observing Strategy Project, 68pp. DOI: http://dx.doi.org/10.25607/OBP-575
    URI
    http://hdl.handle.net/11329/1047
    http://dx.doi.org/10.25607/OBP-575
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    • GOOS Methodology Documents [4]

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