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Abstract Location ID: 37

A Collaborative Computing Platform for Terrestrial Ecology

Ramakrishna Nemani, NASA Ames Research Center, rama.nemani@nasa.gov (Presenting)
Andrew Michaelis, CSU MONTEREY BAY, amac@hyperplane.org
Per Votava, CSU Monterey Bay, pvotava@mail.arc.nasa.gov
Forrest Melton, CSU Monterey Bay, fmelton@mail.arc.nasa.gov

The NASA Earth Exchange (NEX) represents a new collaboration platform for the Earth science community that provides a mechanism for scientific collaboration and knowledge sharing. NEX combines state-of-the-art supercomputing, Earth system modeling, NASA remote sensing data feeds, and a social networking platform to deliver a complete work environment in which users can explore and analyze large Earth science data sets, run modeling codes, collaborate on new or existing projects, and quickly share results within communities. The work environment provides NEX members with community supported modeling, analysis and visualization software in conjunction with datasets that are common to the Earth systems science domain. Providing data, software, and large-scale computing power together in a flexible framework reduces the need for redundantly downloading data, developing data pre-processing software tools, building standard modeling and analysis codes, and expanding local compute infrastructures, thereby accelerating fundamental research, the development of new applications, and reducing project costs. The social networking platform provides a forum for NEX members to efficiently share data sets, results, algorithms, codes and expertise with others members. Since all members’ work environments reside on the collaborative platform, sharing may be done without the transfer of large volumes of data or the porting of complex codes, making NEX an ideal platform for building upon and exchanging research and fostering innovation.

Presentation Type:   Poster

Poster Session:  Data Records and Systems

NASA TE Funded Awards Represented:

  • NONE: Related Activity or Previously Funded TE Award

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