Development of a Cloud-based Data Match-Up Service (CDMS) in Support of Ocean Science Applications

Nga Chung,Thomas Cram,Shawn R. Smith,Vardis M. Tsontos,Thomas Huang, Kimberly Sparling, Stepheny Perez, Wai Phyo,Zaihua Ji, Riley Kuttruff

OCEANS 2022, Hampton Roads(2022)

引用 2|浏览23
暂无评分
摘要
There is a need in the oceanographic community for a generalized data collocation capability for satellite and/or in situ observations that is publicly accessible and provides flexibility and reproducibility for use cases ranging from open science to satellite retrieval calibration and validation. The Cloud-based Data Match-Up Service (CDMS) is a collaborative effort between NASA JPL, COAPS, NCAR, and Saildrone to address this need. With an exponential increase in the volume of satellite data, the CDMS architecture is designed to be scalable and to leverage the elasticity of the cloud. The differences between remote sensing data at various data processing levels and the heterogeneous nature of in situ data makes developing a generic system challenging, but CDMS is designed with the consideration of making it possible to efficiently onboard new datasets. This paper describes the architecture and technologies behind CDMS and provides details on how the data match-up implementation is validated.
更多
查看译文
关键词
cdms,data,service,cloud-based
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要