
At the Goddard Earth Sciences (GES) Data and Information Services Center (DISC), we provide and promote the easy use of Earth science data, information, and services. A large part of our effort lies in keeping pace with evolving technologies and contributing to open data and software development. We will highlight three ongoing collaborations with open-source communities to migrate data collections to the scalable and flexible commercial cloud, and storing and managing them in a chunked, cloud-friendly format, Zarr: 1) We lead the community development process for GeoZarr, an OGC specification to extend Zarr capabilities for storing geospatial observations. 2) We explore solutions to the problem of managing and keeping up-to-date dynamic data typical in Earth science and will discuss a potential solution, the lakeFS platform, that allows for data version control. 3) We propose and develop an open-source method that pre-computes and stores cumulative sums of large, multi-dimensional Zarr data at the chunk level to provide fast and cost-efficient data analysis in the cloud.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
