TT13D:
Pangeo: A Community Platform for Big-Data Geoscience

Session ID#: 85251

Session Description:
Pangeo is a community promoting open, reproducible, and scalable science; we develop tools, infrastructure, and educational materials to make science more efficient. This tutorial will introduce Pangeo's open-source Python-based framework for highly scalable data-proximate analysis and visualization. The framework can be used on local machines, on high-performance computing systems and on any commercial Cloud (e.g. AWS, Google, Azure, OpenStack) using a web browser as the interface.  Participants will learn how to apply these tools to their science problems, how to use cloud computing, and how to optimize "analysis ready" data for for cloud. 
Co-Sponsor(s):
  • OD - Ocean Data Management
  • OM - Ocean Modeling
  • PC - Past, Present and Future Climate
Index Terms:

1926 Geospatial [INFORMATICS]
1932 High-performance computing [INFORMATICS]
1936 Interoperability [INFORMATICS]
1952 Modeling [INFORMATICS]
Primary Presenter:  Richard P Signell, USGS Coastal and Marine Science Center Woods Hole, Woods Hole, MA, United States
Co-Presenter:  Ryan Abernathey, Lamont-Doherty Earth Observatory, Palisades, United States
Moderators:  Louis Clement, National Oceanography Centre, Southampton, United Kingdom and Alice Marzocchi, University of Chicago, Geophysical Sciences, Chicago, IL, United States

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