دورية أكاديمية

Pangeo Forge: Crowdsourcing Analysis-Ready, Cloud Optimized Data Production

التفاصيل البيبلوغرافية
العنوان: Pangeo Forge: Crowdsourcing Analysis-Ready, Cloud Optimized Data Production
المؤلفون: Charles Stern, Ryan Abernathey, Joseph Hamman, Rachel Wegener, Chiara Lepore, Sean Harkins, Alexander Merose
المصدر: Frontiers in Climate, Vol 3 (2022)
بيانات النشر: Frontiers Media S.A., 2022.
سنة النشر: 2022
المجموعة: LCC:Environmental sciences
مصطلحات موضوعية: data, community, cloud, ARCO, NetCDF, Zarr, Environmental sciences, GE1-350
الوصف: Pangeo Forge is a new community-driven platform that accelerates science by providing high-level recipe frameworks alongside cloud compute infrastructure for extracting data from provider archives, transforming it into analysis-ready, cloud-optimized (ARCO) data stores, and providing a human- and machine-readable catalog for browsing and loading. In abstracting the scientific domain logic of data recipes from cloud infrastructure concerns, Pangeo Forge aims to open a door for a broader community of scientists to participate in ARCO data production. A wholly open-source platform composed of multiple modular components, Pangeo Forge presents a foundation for the practice of reproducible, cloud-native, big-data ocean, weather, and climate science without relying on proprietary or cloud-vendor-specific tooling.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2624-9553
Relation: https://www.frontiersin.org/articles/10.3389/fclim.2021.782909/full; https://doaj.org/toc/2624-9553
DOI: 10.3389/fclim.2021.782909
URL الوصول: https://doaj.org/article/97253cf1db7c4516bdddbe46e37ae0cb
رقم الأكسشن: edsdoj.97253cf1db7c4516bdddbe46e37ae0cb
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26249553
DOI:10.3389/fclim.2021.782909