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EarthCube Capabilities: CloudDrift: a platform for accelerating research with Lagrangian climate data

EarthCube Capabilities: CloudDrift: a platform for accelerating research with Lagrangian climate data
EarthCube 功能:CloudDrift:利用拉格朗日气候数据加速研究的平台
批准号:
2126413
负责人:
Shane Elipot
金额:
$47.69万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-01 至 2024-08-31

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中文摘要
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英文摘要
The DriftCloud project aims at propelling forward the discovery and use of unique oceanic Lagrangian observational data principally gathered by freely drifting buoys. The tools developed will utilize existing cyberinfrastructures and established open source and open access protocols in order to bring analyses of ocean observational and numerical heterogeneously distributed geospatial data at the fingertips of users with level of proficiency ranging from high school students to statistical experts. This will potentially contribute to more equitable access to data and computing resources for a broad spectrum of specific and interdisciplinary applications ranging from marine plastics transport to the impact of surface gravity waves on satellite sea surface temperature calibrations. A wide and diverse set of users will be able to access these notebooks which will be bound to openly-accessible cloud-based executable environments deployed on existing infrastructures thanks to collaborations with the EarthCube and other cognizant communities. This project will support an early-career scientist.The DriftCloud project will facilitate and accelerate the production and analysis of Lagrangian datasets by using the climate relevant Lagrangian data of sea surface current, sea surface temperature, and sea level pressure from the drifting buoys of the National Oceanic and Atmospheric Administration’s Global Drifter Program as a working framework. The project will generate new add-on datasets and a suite of modular and open source conversion tools to render Lagrangian datasets ready for analyses and optimized for cloud computing environments. An additional suite of open source tools will be developed for rapid and efficient visualizations and analyses of any Lagrangian data. The utilization of both suites of software tools will be fostered by creating pedagogical demonstration Jupyter Notebooks using the open source python language.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.
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Collaborative Research: A global census of submesoscale energetics using in-situ drifter observations and a high resolution ocean model
  • 批准号:
    2242111
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.9万
  • 财政年份:
    2023
  • 负责人:
    Shane Elipot
  • 依托单位:
RAPID-Evolution
  • 批准号:
    2334091
  • 项目类别:
    Standard Grant
  • 资助金额:
    $62.5万
  • 财政年份:
    2023
  • 负责人:
    Shane Elipot
  • 依托单位:
Collaborative Research: Mapping the kinematics and dynamics of tidal ocean currents with surface drifters
  • 批准号:
    1851166
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.55万
  • 财政年份:
    2019
  • 负责人:
    Shane Elipot
  • 依托单位:
Collaborative Research: Global Observational Constraints on Oceanic Response to Wind Forcing
  • 批准号:
    1459482
  • 项目类别:
    Standard Grant
  • 资助金额:
    $27.59万
  • 财政年份:
    2015
  • 负责人:
    Shane Elipot
  • 依托单位:
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