Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS)

Thursday, 18 December 2014: 10:20 AM
Michael D Daniels1, Sara J Graves2, Frank Vernon3, Branko Kerkez4, Chandrasekar V Chandra5, Ken Keiser2 and Charles Martin1, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)University of Alabama in Huntsville, Huntsville, AL, United States, (3)University of California San Diego, La Jolla, CA, United States, (4)University of Michigan Ann Arbor, Ann Arbor, MI, United States, (5)Colorado State University, Fort Collins, CO, United States
Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS)

Access, utilization and management of real-time data continue to be challenging for decision makers, as well as researchers in several scientific fields. This presentation will highlight infrastructure aimed at addressing some of the gaps in handling real-time data, particularly in increasing accessibility of these data to the scientific community through cloud services.

The Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS) system addresses the ever-increasing importance of real-time scientific data, particularly in mission critical scenarios, where informed decisions must be made rapidly. Advances in the distribution of real-time data are leading many new transient phenomena in space-time to be observed, however real-time decision-making is infeasible in many cases that require streaming scientific data as these data are locked down and sent only to proprietary in-house tools or displays. This lack of accessibility to the broader scientific community prohibits algorithm development and workflows initiated by these data streams. As part of NSF’s EarthCube initiative, CHORDS proposes to make real-time data available to the academic community via cloud services. The CHORDS infrastructure will enhance the role of real-time data within the geosciences, specifically expanding the potential of streaming data sources in enabling adaptive experimentation and real-time hypothesis testing. Adherence to community data and metadata standards will promote the integration of CHORDS real-time data with existing standards-compliant analysis, visualization and modeling tools.