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Collaborative Research: EarthCube Data Capabilities: Rapid response to existing community demand through next generation web infrastructure to integrate Argo and GO-SHIP

Collaborative Research: EarthCube Data Capabilities: Rapid response to existing community demand through next generation web infrastructure to integrate Argo and GO-SHIP
协作研究:EarthCube 数据能力:通过下一代网络基础设施集成 Argo 和 GO-SHIP,快速响应现有社区需求
批准号:
2026954
负责人:
Donata Giglio
金额:
$48.88万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2024-08-31

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中文摘要
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英文摘要
Hydrographic measurements of physical and biogeochemical properties in the ocean support broad research, including carbon content and uptake; ocean heat content, fluxes, and transport; surface and deep current calculations and modeling. At present, two separate data facilities are serving global hydrographic data for their respective programs. Argovis provides access and tools for data from the global array of Argo floats, which profile the oceans to record temperature, salinity, pressure, and an emerging set of biogeochemical measurements. The CLIVAR and Carbon Hydrographic Data Office (CCHDO) serves vessel-based data from the global Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP), providing reference-quality temperature and salinity data from repeated visits to the same locations, plus a large set of tracer, nutrient, and chemical data from analyzed water samples. The proposed work will create interoperability across these two systems, allowing scientists to search, access, and work with data from both facilities.This project builds on past and current investments in Argovis and GO-SHIP technologies, informed by the SeaView EarthCube Integrative Activity’s experience integrating across ocean data facilities. As part of the proposed infrastructure, the databases will deliver dynamic data selection via new API capabilities and allow visualizations, co-location, and comparison on web applications otherwise not possible with simple file archives. The project will be aligned with contemporary web standards and practices. Interoperability will allow Argovis users to continue using the interface they are familiar with, with the added ability to search and integrate GO-SHIP data from a user-defined proximity to data in Argovis. GO-SHIP users will similarly be able to transition seamlessly to the new tools from the GOSHIP website and access Argovis data near GO-SHIP lines or profiles of interest. Project outcomes will be inherently sustainable: after development, the long-term maintenance of some of the tools will be covered by the ongoing GO-SHIP core support.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Intrusions of Amazon River Waters in the Virgin Islands Basin During 2007–2017
2007 年至 2017 年维尔京群岛盆地亚马逊河水域入侵情况
DOI: 10.1029/2022jc018709
发表时间: 2023
期刊: Journal of Geophysical Research: Oceans
影响因子: --
作者: [Seijo‐Ellis, Giovanni, Giglio, Donata, Salmun, Haydee]
通讯作者: Salmun, Haydee
Sustainability: Long-term Deployment Sustainability Strategy for Argovis
  • 批准号:
    2311919
  • 项目类别:
    Standard Grant
  • 资助金额:
    $72.25万
  • 财政年份:
    2023
  • 负责人:
    Donata Giglio
  • 依托单位:
EarthCube Data Capabilities: Argovis 2.0: A Next Generation Platform for co-located Oceanic and Atmospheric Data to Accelerate Climate Science Workflows
  • 批准号:
    1928305
  • 项目类别:
    Standard Grant
  • 资助金额:
    $48.75万
  • 财政年份:
    2019
  • 负责人:
    Donata Giglio
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
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