C
Christopher Lynnes
Researcher at Goddard Space Flight Center
Publications - 40
Citations - 322
Christopher Lynnes is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Data management & Data quality. The author has an hindex of 9, co-authored 40 publications receiving 271 citations.
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Journal ArticleDOI
Visualization of A-Train vertical profiles using Google Earth
Aijun Chen,Gregory Leptoukh,Steven Kempler,Christopher Lynnes,Andery Savtchenko,Denis Nadeau,John Farley +6 more
TL;DR: A solution (one of many possible) is demonstrated to render vertical profiles of atmospheric data from the A-Train satellite formation in GE, using as a proof-of-concept data from one of the instruments-the NASA CloudSat satellite.
Semantic Web Data Discovery of Earth Science Data at NASA Goddard Earth Sciences Data and Information Services Center (GES DISC)
TL;DR: The objective of guided data navigation is to present users with multiple guided navigation in Mirador is an ontology based on the Global Change Master directory (GCMD) Directory Interchange Format (DIF).
Journal ArticleDOI
Access, Visualization, and Interoperability of Air Quality Remote Sensing Data Sets via the Giovanni Online Tool
A. I. Prados,Gregory Leptoukh,Christopher Lynnes,James Johnson,Hualan Rui,Aijun Chen,Rudolf B. Husar +6 more
TL;DR: Giovanni was designed to make satellite and ground-based data easier to use; it does not require separate access to or downloading of data sets, making the visualizations and analysis services accessible to both the novice and the experienced user.
Giovanni: The Bridge between Data and Science
TL;DR: Goddard Interactive Online Visualization ANd aNalysis Infrastructure ( Giovanni) as mentioned in this paper is a web-based remote sensing and model data visualization and analysis system developed by the Goddard Earth Sciences Data and Information Services Center (GES DISC).
Journal ArticleDOI
Big Data Challenges in Climate Science: Improving the next-generation cyberinfrastructure
John L. Schnase,Tsengdar J. Lee,Chris A. Mattmann,Christopher Lynnes,Luca Cinquini,Paul Ramirez,Andrew F. Hart,Dean N. Williams,Duane E. Waliser,Pamela Rinsland,W. Phillip Webster,Daniel Duffy,M. McInerney,Glenn S. Tamkin,Gerald L. Potter,L. Carriere +15 more
TL;DR: An overview of some of climate science's big data problems and the technical solutions being developed to advance data publication, climate analytics as a service, and interoperability within the Earth System Grid Federation (ESGF), which is the primary cyberinfrastructure currently supporting global climate research activities.