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EarthCube Data Capabilities: A Cloud-Native Data Repository for the Geoscience Community

EarthCube Data Capabilities: A Cloud-Native Data Repository for the Geoscience Community
EarthCube 数据功能:地球科学社区的云原生数据存储库
批准号:
2026932
负责人:
Ryan Abernathey
金额:
$159.99万
依托单位:
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

项目摘要

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中文摘要
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英文摘要
The Pangeo Project’s overall goal is to make scientists more productive by making it easier, more efficient, and more cost effective to work with very large datasets. This project focuses on using cloud computing to transform scientists’ relationship with data. While most traditional data repositories provide download services, this project will create a “cloud native data repository” to instead allow scientists to do computing in the cloud, where the data are already present and ready for analysis. Software tools and infrastructure will be developed to enable scientists and data providers to extract data from its original location and store it in the cloud in an optimized format. Partnerships with industry will help ensure that this innovative technological approach helps enhance US economic competitiveness.This project will build a new type of data and computing facility for the geoscience community using cloud technology. Central to this will be a repository of analysis-ready data stored in cloud-native formats such as Zarr. The Pangeo cloud data repository will enable scientists to create analysis-ready copies of existing datasets while fully tracing their provenance to the original source repository. This new virtual facility will transform how scientists work and collaborate, leading to massive leaps in productivity for the entire field. The infrastructure will be built using modular, reusable, sustainable individual software components, including Pangeo Forge–a tool for automating the production of analysis-ready data–and a cloud-native data catalog and accompanying website. Partnering with existing data providers and science communities in the areas of ocean observatories, coupled climate modeling, satellite observations, and weather reanalysis will ensure that the repository is maximally useful to the research community. This award by the Directorate for Geosciences is jointly supported by the Office of Advanced Cyberinfrastructure.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(3)
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科研奖励(0)
会议论文
Pangeo Forge: Crowdsourcing Analysis-Ready, Cloud Optimized Data Production
Pangeo Forge:众包分析就绪、云优化的数据生产
DOI: 10.3389/fclim.2021.782909
发表时间: 2022
期刊: Frontiers in Climate
影响因子: --
作者: [Stern, Charles, Abernathey, Ryan, Hamman, Joseph, Wegener, Rachel, Lepore, Chiara, Harkins, Sean, Merose, Alexander]
通讯作者: Merose, Alexander
DOI: 10.1029/2021ef002277
发表时间: 2021-12-01
期刊: EARTHS FUTURE
影响因子: 8.2
作者: [Lepore, Chiara, Abernathey, Ryan, Tippett, Michael K.]
通讯作者: Tippett, Michael K.
DOI: 10.1109/mcse.2021.3059437
发表时间: 2021-03-01
期刊: COMPUTING IN SCIENCE & ENGINEERING
影响因子: 2.1
作者: [Abernathey, Ryan P., Blackmon-Luca, Charles C., Signell, Richard P.]
通讯作者: Signell, Richard P.
Collaborative Research: Ocean Transport and Eddy Energy
  • 批准号:
    1912325
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.92万
  • 财政年份:
    2019
  • 负责人:
    Ryan Abernathey
  • 依托单位:
Collaborative Research: Framework: Data: Toward Exascale Community Ocean Circulation Modeling
  • 批准号:
    1835778
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.41万
  • 财政年份:
    2018
  • 负责人:
    Ryan Abernathey
  • 依托单位:
Collaborative Proposal: EarthCube Integration: Pangeo: An Open Source Big Data Climate Science Platform
  • 批准号:
    1740648
  • 项目类别:
    Standard Grant
  • 资助金额:
    $73.67万
  • 财政年份:
    2017
  • 负责人:
    Ryan Abernathey
  • 依托单位:
CAREER: Evolution of Ocean Mesoscale Turbulence in a Changing Climate
  • 批准号:
    1553593
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $76.29万
  • 财政年份:
    2016
  • 负责人:
    Ryan Abernathey
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: